Sometimes, a medical practitioner commits malpractice, and other times, a medical device fails to meet its claims. If the device is deemed too safe, the Food and Drug Administration (FDA) recalls it.

The 2024 recall list includes over 30 medical devices. One medical device that was recalled and then resumed was the Bard PowerPort. However, its litigation is still in progress, albeit slowly. Will settlements be made in 2025? This article will discuss the Bard PowerPort litigation in detail.

What is the Bard Power Port Lawsuit?

To understand the Bard PowerPort lawsuit properly, we must first understand the medical device. It is a catheter port device that allows medical practitioners vascular access.

Also known as the circulatory system, the vascular system comprises an extensive network. According to Johns Hopkins Medicine, this network of blood and lymph vessels carries blood and lymph to different parts of the body. It is only through this system that doctors can administer fluids and medications to a patient’s desired body parts.

Medical devices like the Bard PowerPort allow doctors to access a patient’s bloodstream for:

• Taking blood samples
• Delivering intravenous fluids, parenteral nutrition solutions, and other medications
• Conducting Power-Injected Contrast-Enhanced Computed Tomography (CECT) scans

This device is primarily used for treatments like kidney dialysis and chemotherapy. It has been alleged that the Bard PowerPort device is prone to rupturing and migrating, thereby leading to life-threatening injuries.

Cases where the device broke apart and migrated left patients with complications like blood clots, deep vein thrombosis, vein damage, and necrosis at the implant site. Besides the injuries, there is another allegation.

The manufacturer, Bard Access Systems, was believed to be aware of the complications. The device ruptures due to a manufacturing or design flaw. Despite knowing, the company did nothing to warn patients or doctors who continued their treatments unbeknownst.

Why is it Called a Slow-Moving Litigation?

As per TorHoerman Law, the first group of plaintiffs in the Bard PowerPort litigation filed their claims on May 24th, 2023. Since there were many similar injury cases, the judge consolidated them into a class-action multi-district litigation (MDL) 3081.

Even at the beginning, this litigation started surprisingly slow. Besides the first group of plaintiffs, only a handful of cases were filed every month that followed. During consolidation, the defendant side even tried to resist the push. Perhaps it was aware that the litigation did have the potential to grow increasingly.

For the latter half of 2023, case numbers rose from a few tens every month to 50 or 60. Word about the risks associated with vaginal mesh was spreading. Cases were being filed across the US, Chicago, New Jersey, and Texas, to name a few places.

By this time, the Food and Drug Administration (FDA) had strict standards for the Bard PowerPort. The agency had considered this medical device for a Class 2 device recall, which is an issue for devices that may cause temporary or reversible but serious health injuries.

It acknowledged that leaks in the device had disrupted the flow of medication. By the middle of 2023, the court had started issuing case management orders for a jury trial. This was good news, but the litigation had grown little.

Lawyers estimated that hundreds of thousands of patients had used the Bard PowerPort at some point. According to that record, there should have been at least 10,000 to 12,000 case filings. However, there had been only a few hundred filings.

This highlighted that many patients and healthcare providers were unaware of the litigation. Even among those who knew, many would have hesitated to file a lawsuit because they could have attributed their injuries to other causes.

Are Attorneys Expecting Settlements in 2025?

Even today, this litigation is moving slower than initially expected. However, the lawsuit is still in its nascent stages. There is certainly a long way to go, and case numbers will rise by next year.

In the meantime, it is good news that the litigation itself is progressing speedily. Judges are trying their best to conduct trials as soon as possible, and efforts are being made to spread the word about the lawsuit so victims can receive fair compensation.

The 11th case management conference has been held, and the court has denied the plaintiff’s counsel’s request for a discovery extension. The litigation is expected to progress as scheduled. If no further disruptions delay the progression, this litigation should have a definitive outcome by mid-2025.

The FDA recalled the device in March 2020, but it was canceled in February 2022. In 2023, the agency shared a case in which a patient underwent chemotherapy through a Bard port catheter. The device was found to be fractured towards the right ventricle. Fortunately, it was removed the next day, although the patient suffered no harm. Not all cases are this fortunate.

The FDA continues to monitor the use of devices in circulation. If anything, the current state makes it clear that this litigation will grow steadily.

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Today’s wearable fitness devices can help users independently track their health data. They’re also sophisticated enough to aid in transmitting that information to doctors without wearers having to worry about data privacy issues. Once robotics are integrated, these wearables can become more functional assistive devices that replace lost limbs after amputation or during rehabilitation.

That’s why it’s no surprise that it’s now also being leveraged by the weight loss industry, one of today’s most profitable wellness markets. Amid rising obesity rates, an increasing demand for bariatric surgery, GLP-1 medications, and weight loss coaches is driving it to new heights. As a result, it’s expected to grow in value from $89.9 billion in 2023 to over $93.8 billion by the end of 2024. To meet the demand, the weight loss industry is using robotics to develop those same factors that are fueling its growth. And here’s how…

Tailored weight loss coaching

Demand for weight loss coaches is on the rise due to availability issues. Many commercial diet companies laid off their coaches amid the pandemic, making their services less accessible to people seeking tailored weight loss guidance. That’s where weight loss coach robots help. These were arguably pioneered by the startup Intuitive Automata, which came out with the Autom robot in 2011 and continues to be perfected today. A study from Tufts University finds that these coaches can effectively compensate for the lack of their human counterparts because social robot developers design them to foster one key factor to weight loss success: commitment.

Since weight loss coach robots can stay at home with the user, they can encourage whenever their motivation to continue losing weight flags. These tools also leverage explainable AI to generate, recommend, and justify suggestions like meal choices based on a user’s specific needs, preferences, and activity. Ultimately, this innovation is helping the weight loss industry make personalized advice more convenient and accessible, further boosting the market’s growth.

Enhanced medication delivery

Prescription weight loss medications are arguably the biggest driving factor of the weight loss industry’s success today, with sales for these products doubling in 2023 alone. That’s especially true for semaglutide and tirzepatide, which use the agonist GLP-1 for weight loss. By mimicking the gut hormone GLP-1, these medications can reduce cravings, regulate appetite, and ultimately enhance the benefits of eating a balanced diet and exercising regularly. They can help reduce up to 15% of your baseline body weight, which is why they’re considered especially effective for overweight and obese individuals struggling to shed pounds because of genetic factors and pre-existing medical conditions.

However, GLP-1 agonists like semaglutide are taken either orally or via injection. These require passive transport in the gastrointestinal tract, which limits how effective these weight-loss drugs can be. That’s why researchers are developing oral administration microrobots. These can break through the walls of the gastrointestinal tract for more active delivery. They also come with controllable locomotive functions for more targeted drug release. This robotics technology can further boost the results users can gain with weight loss medication, potentially improving the satisfaction they experience when leveraging what’s among the weight loss industry’s most popular products today.

Improved surgical outcomes

Bariatric surgery has been the standard medical intervention for weight loss for decades. The most common kind, the gastric bypass, involves physically reducing an individual’s stomach size so their body is forced to eat less food before feeling full. It’s easy to think that because they’re non-invasive, prescription weight loss medications are pushing it into obscurity. However, the opposite is true: demand for this procedure is hitting all-time highs, making it another factor driving the growth of the weight loss industry. However, bariatric surgery also comes with serious risks like bleeding, infection, and leaks in the gastrointestinal tract. That’s where robotics comes in.

Robots have been changing the medical field for years, helping surgeons precisely and remotely conduct several procedures using the most minimally invasive methods possible. Today, they can do this entire medical intervention using these tools. In fact, total robotic bariatric surgery is now considered more effective than traditional laparoscopic approaches. In observing a single surgeon who performed 498 robotic and 311 laparoscopic bariatric operations between 2020 and 2023, a recent study found that the robots helped better shorten operating times, reduce the risk of complications, and lower the need for patients to be hospitalized after the surgery. These outcomes are only further improving an already highly sought-after weight loss service, further bolstering the industry’s opportunities for growth.

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Surgical robots are sophisticated machines equipped with multiple robotic arms, high-definition 3D cameras, and specialized surgical instruments. The surgeon operates from a console, viewing a magnified, three-dimensional image of the surgical site. Their hand and wrist movements are translated to the robotic arms, which replicate the motions with remarkable accuracy and dexterity, even in confined spaces.

Advantages of Robotic Surgery

Robotic surgery offers a range of benefits for both surgeons and patients, often surpassing traditional open surgery:

• Smaller Incisions: Minimally invasive procedures lead to reduced scarring, less pain, lower risk of infection, and faster recovery.
• Reduced Blood Loss: Precise movements and controlled incisions result in less bleeding and a decreased need for transfusions.
• Less Pain and Discomfort: Smaller incisions and less tissue trauma contribute to significantly reduced postoperative pain.
• Faster Recovery: Patients often experience quicker healing and a shorter hospital stay due to less invasive procedures.
• Enhanced Precision and Accuracy: Robotic systems provide surgeons with a stable platform and enhanced visualization, enabling intricate maneuvers and minimizing errors.
• Increased Dexterity: Robotic arms can access tight spaces and perform movements beyond the capabilities of human hands.
• Reduced Surgeon Fatigue: The ergonomic console design helps surgeons avoid fatigue during long procedures.
• Improved Cosmesis: Smaller incisions result in less noticeable scars.
  Disadvantages and Considerations

While robotic surgery offers significant advantages, it’s important to acknowledge the limitations and potential drawbacks:

• Cost: Robotic systems are expensive to acquire and maintain, which can translate to higher costs for patients and healthcare providers.
• Training and Expertise: Surgeons require specialized training to operate robotic systems effectively.
• Lack of Haptic Feedback: The absence of tactile feedback can be a challenge for surgeons accustomed to traditional methods.
• Limited Applications: Robotic surgery is not suitable for all procedures and may not be available in all healthcare facilities.
• Potential Technical Issues: Although rare, technical malfunctions or errors can occur during robotic surgeries.

Expanding Applications of Robotic Surgery

Robotic surgery is continually evolving and finding applications in a growing number of surgical specialties:

• Urology: Prostate surgery, kidney surgery, and bladder surgery are commonly performed with robotic assistance.
• Gynecology: Hysterectomies, myomectomies, and other gynecological procedures benefit from robotic precision.
• General Surgery: Hernia repairs, gallbladder removals, and colon surgeries can be performed robotically.
• Cardiothoracic Surgery: Robotic systems assist in minimally invasive heart and lung surgeries.
• Otolaryngology (ENT): Robotic surgery is used for head and neck procedures, including transoral surgeries.

As technology advances, robotic surgery is expected to become even more sophisticated, precise, and accessible. Emerging technologies like artificial intelligence (AI) and machine learning may further enhance the capabilities of robotic systems, leading to safer and more effective surgical outcomes for patients.

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These advancements empower surgeons to perform complex procedures with exceptional accuracy, leading to a multitude of benefits for patients. These include smaller incisions, reduced blood loss and pain, and faster recovery times. Robotic surgery has also opened the door for surgeons without prior laparoscopic training to provide patients with the advantages of minimally invasive surgery.

While the popularity of robot-assisted surgery has surged in the US, Europe, Australia, and other developed nations, its adoption in India is still in its early stages. However, the number of hospitals equipped with surgical robots is steadily increasing. The primary factor hindering the rapid growth of robotic surgery in India is financial. The substantial cost of the robot itself, coupled with annual maintenance and disposable supply costs, make it financially challenging for many hospitals and patients. Additionally, the lack of robotic surgery fellowships within India necessitates aspiring surgeons to seek training abroad, further impeding progress in the field.

Nevertheless, the surgical robotics market in India is projected to experience substantial growth, with estimates indicating a rise from $129.9 million in 2016 to $372.5 million by 2025, at a CAGR of 19.2 percent. India has already witnessed the successful performance of over 700 robotic-assisted surgeries per month across specialties like urology, gynecology, general surgery, thoracic and cardiac surgery, ENT, and neurosurgery.

Leading Hospitals for Robotic Surgery in India (2024):

Chennai:

• Apollo Hospitals: A pioneer and leader in robotic surgery in India, Apollo Chennai offers a wide array of robotic procedures across various specialties, with state-of-the-art facilities and a highly experienced team.
• Global Health City: A multi-specialty hospital known for its comprehensive robotic surgery program, especially in the fields of urology, gynecology, and oncology.
• MGM Healthcare: This super-specialty hospital features a dedicated robotic surgery unit and offers a range of minimally invasive procedures.
• Global Hospitals: Part of a large network, Global Hospitals Chennai has a well-established robotic surgery program catering to multiple specialties.

New Delhi:

• Apollo Hospitals: The Delhi branch of Apollo Hospitals also boasts a strong robotic surgery program, known for its expertise in various specialties and advanced technology.
• Artemis Hospital: Renowned for its robotic surgery capabilities in urology, gynecology, and gastrointestinal surgery, with a focus on minimally invasive techniques.
• BLK Super Speciality Hospital: Offers robotic surgery in multiple specialties, including urology, gynecology, and oncology, with a strong emphasis on personalized care.
• Fortis Hospitals: A major player in robotic surgery, the Delhi branch of Fortis offers a wide range of procedures with a focus on innovation and quality.
• Indraprastha Apollo Hospitals: Known for its excellence in robotic urology, gynecology, and oncology, with experienced surgeons and state-of-the-art facilities.
• Max Super Speciality Hospital: Offers a broad spectrum of robotic surgeries with a commitment to patient-centric care and the latest da Vinci systems.
• Dharamshila Cancer Hospital: Specializes in robotic oncology procedures, offering minimally invasive treatment options for various cancers.
• Indian Spinal Injuries Center: This specialized hospital utilizes robotic technology for complex spinal surgeries, providing precision and minimizing risks.
• Jaypee Hospital: Offers robotic surgery in multiple specialties, with a focus on minimally invasive techniques and advanced technology.
• Paras Hospitals: A multi-specialty hospital with a well-equipped robotic surgery department, catering to various surgical needs.
• Primus Super Speciality Hospital: Offers robotic surgery across different specialties, with a focus on patient comfort and faster recovery.
• Rajiv Gandhi Cancer Hospital: A leading cancer center that utilizes robotic surgery for various oncological procedures, offering patients minimally invasive treatment options.
• Rockland Hospital: Provides robotic surgery in multiple specialties, with a focus on personalized care and advanced technology.
• Seven Hills Hospital: This multi-specialty hospital offers robotic surgery in various fields, including urology, gynecology, and gastrointestinal surgery.

Gurgaon:

• Fortis Memorial Research Institute: A leading center for robotic surgery, particularly in urology, gynecology, and gastrointestinal surgery.
• Medanta Hospital: Known for its comprehensive robotic surgery program across multiple specialties, with a focus on advanced technology and personalized care.

Mumbai:

• Kokilaben Dhirubhai Ambani Hospital: A center of excellence for robotic surgery in urology, gynecology, and oncology, with a dedicated team and world-class facilities.
• Bombay Hospital: Offers robotic surgery in various specialties, with a focus on minimally invasive techniques and patient recovery.
• Global Hospitals: The Mumbai branch of Global Hospitals also provides a wide range of robotic surgeries across different specialties.
• Hinduja Hospital: A well-established hospital with a robust robotic surgery program, especially in the areas of urology, gynecology, and oncology.
• Hiranandani Hospital: Offers robotic surgery in multiple specialties, with a commitment to patient-centric care and advanced technology.

Bangalore:

• Asia Columbia Group of Hospitals: A network of hospitals providing robotic surgery in various specialties, with a focus on minimally invasive techniques.
• BGS Global Hospital: Offers a wide range of robotic surgeries across different disciplines, with a strong focus on patient safety and satisfaction.

Hyderabad:

• Aware Global Hospital: Specializes in robotic surgery for various specialties, with experienced surgeons and advanced technology.
• Asian Institute of Nephrology and Urology: A leading center for robotic urological surgery, known for its expertise in complex procedures and innovative techniques.
• Global Hospitals: The Hyderabad branch of Global Hospitals also provides a range of robotic surgeries across different specialties.

Kochi:

• Aster Medcity: A multi-specialty hospital that offers robotic surgery across various disciplines, equipped with advanced technology and experienced surgeons.

Ahmedabad:

• Shalby Hospital: A multi-specialty hospital that offers robotic surgery in several fields, with a focus on minimally invasive techniques and patient recovery.

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Here, we explore some of the leading institutions and labs driving the robotics revolution in Japan:

National Institute of Advanced Industrial Science and Technology (AIST)

AIST stands as one of Japan’s largest public research organizations, focusing on creating and implementing technologies that benefit both industry and society. Its Robot Innovation Research Center spearheads efforts to identify sectors where robotics can improve efficiency and productivity. The center is actively developing and refining safety standards for applied robotic devices. AIST is also deeply involved in exploring the potential of robots to work alongside humans, particularly in healthcare settings like the “Project Unit of Robotic Devices for Nursing Care.” AIST’s most recognizable contribution is perhaps the PARO therapeutic robot seal, designed to provide comfort and companionship.

RIKEN

RIKEN, Japan’s largest comprehensive research institution, delves into various scientific disciplines, including human robotics. RIKEN has partnered with industry leaders to develop several notable robotic nursing assistants. These include RIBA and RIBA-II, robots designed to assist with patient mobility and lifting tasks, and ROBEAR, a more advanced robotic caregiver capable of lifting patients and providing support. RIKEN’s RI-MAN project focuses on developing bio-mimetic robots to aid in elderly care.

Japan Robot Association (JARA)

JARA plays a crucial role in promoting robot production and fostering research and development within the robotics sector. The association actively participates in the development of regulations and strategies to encourage the adoption of robotics. JARA facilitates research collaborations and knowledge exchange within the robotics community. Additionally, it monitors and analyzes trends in the robotics industry to inform future development.

Japan Automobile Research Institute (JARI)

While primarily focused on automotive testing and research, JARI extends its expertise to personal robot safety. The institute is actively involved in developing methodologies to evaluate the safety of personal robots and establishing testing procedures to ensure their safe operation. JARI leverages knowledge from the automotive and electrical machinery sectors to improve robot safety standards.

Advanced Telecommunications Research Institute International (ATR)

ATR is a private research organization dedicated to fundamental and innovative research and development. Its Intelligent Robotics and Communication Laboratories focus on developing robotic technologies to assist the elderly and those with disabilities. ATR is committed to advancing core robotic capabilities in areas like perception, navigation, and human-robot interaction. The organization actively partners with universities and research institutions worldwide to accelerate progress in robotics.

Robot Safety Center

A joint venture by NEDO, AIST, and JARI, the Robot Safety Center is a unique facility dedicated to creating standardized testing procedures for personal care and auxiliary robots. The center conducts comprehensive safety assessments of robotic devices and collaborates with the Japan Quality Assurance Agency (JQA) to establish a certification process for robots.

Waseda University – Humanoid Robotics Institute (HRI)

Waseda University’s HRI is a world-renowned center for humanoid robotics research. The institute focuses on developing robots that can walk and move like humans, creating robots that can communicate and interact naturally with people, and exploring the use of robots in social settings, such as education and healthcare.

Preferred Networks, Inc.

Preferred Networks is a leading AI and robotics company in Japan known for applying deep learning techniques to robotics to improve perception, decision-making, and control. They are actively developing robotic solutions for manufacturing and logistics, and they are also working on self-driving car technology.

Japan’s robotics landscape is dynamic and constantly evolving. With ongoing research, development, and collaboration, the country is poised to remain a global leader in robotics for years to come.

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These innovative devices go beyond the traditional power wheelchair base, integrating advanced computer systems, an array of sensors, and specialized seating solutions. Let’s delve into the cutting-edge smart wheelchairs and prototypes that are shaping the future of mobility.

Advanced Control Mechanisms: The Brain Behind the Wheel

Smart wheelchair control mechanisms are becoming increasingly sophisticated, often mimicking natural movements and interactions:

• BCI (Brain-Computer Interface) Control: This pioneering technology utilizes electroencephalography (EEG) to translate brain signals into actionable commands, enabling users to steer their wheelchairs with their thoughts.
• EMG (Electromyography) Control: EMG-controlled wheelchairs harness electrical signals generated by muscle contractions, allowing individuals to control movement through subtle muscle activation.
• EOG (Electrooculography) Control: EOG signals, which detect eye movements and blinks, are transformed into control commands, offering a hands-free navigation option.
• Head Orientation Tracking and Chin Control: These methods utilize head and neck movements to control cursor movements on a screen, translating those movements into wheelchair navigation.
• Eye Tracking and Image Processing: Eye tracking and image processing technologies enable users to control the wheelchair by focusing their gaze or tracking finger movements.
• Voice Actuation and Touch Screen Control: Voice commands and touch screen interfaces provide intuitive and accessible control options.
• Deictic Approach and Accelerometer-Based Control: These environmental-based approaches use visual cues or accelerometer data to guide the wheelchair to a designated location.

Beyond the Prototype: Smart Wheelchairs in Action

While research and development continue to push boundaries, several smart wheelchair prototypes are already making a tangible impact:

1. Whill Model Ci2

This personal electric vehicle is designed for both indoor and outdoor use. Its compact size and nimble maneuverability make it ideal for navigating tight spaces and urban environments. It also offers a range of customizable controls, including joystick, head array, and sip-and-puff systems. Additionally, the Ci2 can be disassembled for easy transport, making it a versatile option for individuals on the go.

Unique Features: Compact and lightweight design, ideal for indoor and outdoor use. Offers a wide range of customizable controls for different user needs. Easy disassembly for transport.

2. WHILL Model F

Designed with outdoor adventures in mind, this rugged wheelchair boasts all-terrain capabilities, including the ability to traverse gravel, grass, and even snow. Its innovative suspension system ensures a smooth and comfortable ride on uneven surfaces. The Model F also features a powerful motor and a long-lasting battery, making it suitable for extended outdoor excursions.

Unique Features: Rugged and all-terrain capable, designed for outdoor adventures. Powerful motor and long-lasting battery for extended use. Innovative suspension for a smooth ride on uneven surfaces.

3. Scewo BRO

This Swiss-designed wheelchair is not just smart; it’s stylish and functional. It can climb stairs, stand upright, and even traverse uneven terrain. Its unique self-balancing technology allows users to maintain stability even on inclines or declines. The BRO’s intuitive interface and sleek design make it a popular choice for those seeking both functionality and aesthetics.

Unique Features: Stylish and functional design. Self-balancing technology for stability on inclines and declines. Can climb stairs and stand upright, offering greater versatility.

4. Toyota Human Support Robot (HSR)

While not a traditional wheelchair, this innovative robot is designed to assist individuals with mobility limitations in their homes. It can fetch objects, open doors, and even provide companionship through video calls. Equipped with a robotic arm and advanced sensors, the HSR can perform tasks that might otherwise be challenging for those with limited mobility.

Unique Features: Not a traditional wheelchair, but an assistive robot designed for home use. Robotic arm and advanced sensors allow it to perform various tasks for users with limited mobility. Provides companionship through video calls.

5. Phoenix i Chair

This innovative wheelchair combines traditional power wheelchair functionality with advanced robotics. It features a unique “iMode” that allows users to elevate themselves to eye level, enhancing their social interaction and reach. The iMode also enables users to navigate uneven terrain and obstacles with greater ease.

Unique Features: Combines traditional power wheelchair functionality with advanced robotics. “iMode” allows users to elevate themselves to eye level for improved social interaction and reach. Can navigate uneven terrain and obstacles with ease.

6. LUCI

This smart wheelchair accessory isn’t a wheelchair itself, but it’s a game-changer for power wheelchair users. LUCI uses a network of sensors and artificial intelligence to prevent collisions, falls, and tip-overs. It can also provide real-time feedback to users and caregivers, enhancing safety and peace of mind.

Unique Features: Smart wheelchair accessory that enhances safety and prevents accidents. Uses sensors and AI to detect and avoid collisions, falls, and tip-overs. Provides real-time feedback to users and caregivers.

The Future of Mobility is Here

Several research institutions and companies are developing self-driving wheelchairs. These prototypes use a combination of sensors, cameras, and AI algorithms to navigate autonomously, freeing users from the need to constantly control their wheelchair. While still in the experimental stage, self-driving wheelchairs hold the promise of even greater independence and accessibility for individuals with mobility limitations.

In 2024, smart wheelchairs are transforming the landscape of assistive technology. By merging cutting-edge control mechanisms with user-friendly interfaces, these devices are empowering individuals with disabilities to live more independent and fulfilling lives. The prototypes of today hint at the possibilities of tomorrow, where mobility will be seamlessly integrated with intelligent technology.

As research and development continue to accelerate, we can anticipate even more sophisticated smart wheelchairs that adapt to individual needs, seamlessly interact with their surroundings, and ultimately redefine what’s possible for people with mobility limitations.

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This article explores the emerging ethical concerns associated with robotics and AI in healthcare, highlighting the need for thoughtful and inclusive approaches to ensure these innovations benefit society.

1. The Dehumanization Argument

One of the primary ethical concerns is the potential dehumanization of care. Some argue that using machines to look after ill or elderly individuals is inherently inhumane. This concern is more pronounced in Europe than in Japan, where robots are often promoted as companions for the elderly. The fear is that human tasks traditionally performed by caregivers might be replaced by machines, leading to a reduction in human-to-human interaction. Some social scientists predict that increased interaction with machines could replace essential human connections, potentially leading to a more isolated society.

In 2018, the University of Plymouth in the UK tested Pepper, a humanoid robot, to assist elderly patients in care homes. While some residents appreciated Pepper’s assistance, others felt uncomfortable and preferred human caregivers, highlighting the concern of dehumanization and the need for a balance between human and robotic care.

2. Social Poverty and Dying Alone

Robots designed to care for the sick and elderly may contribute to “social poverty,” where vulnerable individuals feel excluded from society. This exclusion can lead to significant emotional and psychological consequences, including the widespread fear of dying alone. The use of robots in such contexts raises questions about societal responsibility and the ethical implications of substituting human care with robotic assistance.

In Japan, the use of Paro, a therapeutic robot seal, in elderly care homes has shown mixed results. While Paro has provided comfort to some residents, it also raises concerns about substituting genuine human interactions with robotic companionship, potentially contributing to social isolation.

3. Experimenting with the Ill and Vulnerable

The application of medical robotics to patients raises concerns about using sick or vulnerable individuals as subjects for technological experiments. This is particularly contentious in areas like prosthetics, neurotechnology, and robotic surgery. Critics argue that this approach is ethically utilitarian, treating patients as means to an end rather than as individuals with intrinsic worth. Conversely, proponents suggest that patients with limited survival chances might benefit from experimental treatments, potentially offering them a better quality of life.

The use of experimental robotic exoskeletons for spinal cord injury patients at institutions like the Rehabilitation Institute of Chicago has sparked debate. While these technologies offer new mobility opportunities, they also involve significant risks and ethical concerns about using vulnerable patients as test subjects.

4. Exploiting Human Emotions

There is also concern about the deliberate exploitation of human emotions through robots designed with communication abilities and simulated emotions. This manipulation could lead to deceptive practices, where individuals might form attachments to machines that do not possess genuine emotions or consciousness. The ethical challenge lies in balancing technological advancements with the need to maintain genuine human connections and trust.

Sophia, a social humanoid robot developed by Hanson Robotics, has been employed in various healthcare settings to interact with patients. While Sophia’s ability to engage emotionally with patients is groundbreaking, it raises ethical questions about the authenticity of these interactions and the potential manipulation of human emotions.

5. Dual-Use of Technology

Advanced medical technologies, including prostheses, robotic systems, and neural interfaces, have the potential for dual-use in both civilian and military applications. The ethical evaluation of these technologies becomes complex when considering their potential for harm in military contexts. Organizations like the Defense Advanced Research Projects Agency (DARPA) in the USA often lead these developments, raising questions about the ethical boundaries of medical technology.

DARPA’s development of advanced prosthetics for wounded soldiers illustrates the dual-use dilemma. These prosthetics can significantly improve the quality of life for injured veterans but also highlight the potential for military applications that may raise ethical concerns.

6. Human Enhancement Technology (HET)

The use of technologies initially intended for compensatory purposes, such as prosthetics or disease cures, for human enhancement poses significant ethical dilemmas. These enhancements could create inequalities, with wealthy individuals having greater access to costly advancements, potentially leading to societal divides. Additionally, defining the threshold between healing and enhancement raises profound questions about the future of human beings and the ethical implications of altering the human condition.

The development of CRISPR gene-editing technology, initially aimed at curing genetic disorders, has led to debates about its potential use for human enhancement. The ethical implications of editing genes for non-therapeutic purposes, such as enhancing intelligence or physical abilities, remain contentious.

7. Defining “Human” and Altering the Human Condition

As robots and AI become more integrated into healthcare, there is a growing concern about the definition of what it means to be human. Patients may find themselves increasingly dependent on machines that simulate human behavior or replace human organs, leading to ethical questions about tampering with natural life processes. This includes concerns about life extension and the replacement of vital organs with artificial alternatives.

The case of artificial hearts, such as the SynCardia temporary Total Artificial Heart, used as a bridge to heart transplants, exemplifies the ethical questions surrounding life extension and dependency on machines. While these devices save lives, they also challenge traditional notions of the human condition.

8. Affordability

The development of high-tech robotic systems to support, treat, or train patients will only reach its potential if these technologies are accessible to the general public. Funding for traditional treatments must be adjusted to accommodate robotic alternatives. Without proper financial planning and investment, there is a risk of widening the gap between what is technologically possible and what is ethically acceptable, exacerbating healthcare inequalities.

The introduction of the da Vinci Surgical System, a robotic-assisted surgery platform, has improved surgical outcomes but remains prohibitively expensive for many hospitals. This raises ethical questions about equitable access to advanced medical technologies and the potential widening of healthcare disparities.

9. Safeguarding Patient Privacy

One of the most pressing ethical issues in using AI and robots in healthcare is safeguarding patient privacy and data protection. AI systems analyze vast amounts of sensitive patient information, increasing the risk of data breaches and unauthorized access. Healthcare providers and technology developers must prioritize robust cybersecurity measures to protect patient data and maintain confidentiality.

The 2017 WannaCry ransomware attack on the UK’s National Health Service (NHS) exposed vulnerabilities in healthcare data security. This incident underscored the critical importance of safeguarding patient data in an era of increasing AI and robotics integration in healthcare.

10. AI Algorithms for Advanced Healthcare Solutions

AI algorithms are increasingly used in healthcare for tasks like predictive modeling, natural language processing of clinical notes, and medical imaging analysis. These algorithms can enhance early disease detection, personalized treatment planning, and workflow optimization. However, the ethical challenge lies in ensuring these technologies are used responsibly, without compromising patient safety or quality of care.

Google’s DeepMind developed an AI algorithm capable of diagnosing eye diseases with high accuracy from retinal scans. While this technology promises improved diagnostic capabilities, it also raises ethical questions about the transparency and interpretability of AI decision-making processes.

11. AI’s Impact on Decision-Making in Healthcare

The integration of AI in healthcare decision-making processes raises concerns about informed consent and patient autonomy. Patients must be fully informed about the capabilities and limitations of AI technologies to make knowledgeable decisions about their treatment. Ensuring transparency and fostering collaborative decision-making between patients and healthcare professionals is essential for maintaining patient autonomy and trust.

IBM Watson for Oncology has been used to assist doctors in developing cancer treatment plans. Despite its potential benefits, there have been instances where Watson’s recommendations were questioned, emphasizing the need for informed consent and patient autonomy in AI-assisted decision-making.

12. Overcoming Bias: Maintaining Equity and Fairness

AI algorithms and robotic systems can perpetuate existing healthcare biases if not carefully designed and trained. This could lead to disparities in diagnosis, treatment, and access to care. Healthcare organizations and technology developers must use diverse and inclusive datasets and implement rigorous testing and validation procedures to ensure fairness and equity in AI-driven healthcare solutions.

A study published in 2019 revealed that an AI algorithm used in US hospitals to allocate healthcare resources exhibited racial bias, favoring white patients over black patients with the same level of need. This highlights the critical need for rigorous testing and validation to ensure fairness in AI-driven healthcare solutions.

Conclusion

AI and robots hold immense potential to transform healthcare, improving patient experiences, boosting efficiency, and enhancing outcomes. However, addressing the ethical implications of these technologies is crucial to ensure their responsible and equitable implementation. By fostering collaboration between stakeholders, including healthcare professionals, technologists, policymakers, and ethicists, we can navigate the ethical landscape of AI and robotics in healthcare, realizing their full potential to advance health and well-being for individuals and communities.

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1. Usability: Simplifying Complex Systems

Controlling advanced robotic systems, such as wearable prostheses or wheelchair-mounted arms, requires a high level of cognitive function. Many users, particularly those with disabilities or co-morbidities, find these systems difficult to manage. A study from 2010 revealed that up to 75% of robots designed for hand rehabilitation were never tested with end-users, leading to their abandonment.

Clinicians, even those highly educated in their fields, often possess low levels of technological literacy. Training patients or caregivers becomes even more difficult if they find a robot challenging to use. To address this, manufacturers should focus on reducing the complexity of their designs. Functional simplicity can lead to easier robots for all primary stakeholders to use, control, and maintain.

2. Acceptability: Overcoming Social Stigma

A significant barrier to adopting healthcare robots is their acceptability among users. The visible use of such robots can draw attention to a person’s disability, disorder, or disease, exacerbating existing societal stigma. Experts advocate for a “design for social acceptance” approach to mitigate this. This involves creating designs that are not only functional but also aesthetically pleasing and socially acceptable, reducing the reluctance to use these devices in public.

3. Safety: Ensuring Robust Operation

Safety is paramount in the deployment of healthcare robots. Ensuring physical and cognitive safety is essential, particularly for vulnerable populations like children and individuals with cognitive impairments. Strategies to enhance safety include:

• Robust Testing and Validation: Robots must undergo rigorous testing in simulated and real-world healthcare environments. This includes functional, environmental, and user acceptance testing and validation of safety features such as collision detection and emergency stops.
• Compliance with Safety Standards: Adhering to international standards like ISO 13482 and national guidelines, such as those from the FDA, is crucial. These standards cover safety aspects related to hardware, software, data privacy, and the operational environment.
• Regular Maintenance and Updates: Ongoing software updates are essential to address vulnerabilities and ensure safe operation.
• Clear Protocols and Procedures: Establishing clear guidelines for using and interacting with robots helps ensure consistent and safe use.
• Training and Education: Comprehensive training for healthcare providers and patients on using and interacting with robots can prevent accidents and misuse.

4. Functional Capability: Adapting to Diverse Needs

Robotic technology must be adaptable to various healthcare settings and individual patient needs. Challenges in real-world perception, such as navigating cluttered environments and interacting with dynamic human behaviors, remain significant. Ensuring robust, real-time perception and response capabilities is crucial. This involves developing advanced computer vision and machine learning algorithms that can operate reliably in diverse and unpredictable environments. Challenges include:

• Real-time Monitoring and Feedback: Robots should be equipped with sensors and algorithms for real-time monitoring and feedback, ensuring they operate as intended and can adjust to changing environments.
• Robust Perception and Adaptability: Effective navigation in human environments requires advanced perception and adaptability. Robots must be able to operate in various healthcare settings and learn from interactions with end-users.
• Continuous Improvement: Data analysis and continuous improvement processes can enhance the reliability and accuracy of robotic functions over time.

5. Integration with Healthcare Systems: Ensuring Seamless Communication

Robots must integrate seamlessly with healthcare systems, such as electronic health records (EHRs) and medication dispensing systems. Key strategies include:

• Interoperability: Utilizing standard communication protocols and APIs to enable seamless integration with existing systems.
• Compatibility: Ensuring robots are compatible with the hardware and software used in healthcare settings.
• Customization: Allowing customization to meet healthcare providers’ unique needs and workflows.
• Collaboration and Partnerships: Fostering close collaboration between technology vendors and healthcare providers to ensure robots are effectively integrated into healthcare systems.

6. Impact on Healthcare Providers: Addressing Workforce Concerns

The introduction of robots in healthcare can significantly impact the roles and responsibilities of healthcare providers, potentially leading to resistance and concerns about job security. Strategies to address these issues include:

• Clear Roles and Responsibilities: Defining the roles of healthcare providers and robots to ensure effective collaboration.
• Workflow Optimization: Designing robots to streamline tasks and reduce the workload of healthcare providers, allowing them to focus on more complex tasks.
• Training and Support: Providing comprehensive training and support to healthcare providers to facilitate the adoption of robotic systems.

7. Cost-Effectiveness: Evaluating Financial Viability

The high cost of implementing and maintaining robots can be a significant barrier, particularly for smaller healthcare providers. To address this:

• Value-Based Purchasing: Evaluating the total cost of ownership and the value robots bring to patient care outcomes.
• Return on Investment (ROI) Analysis: Assessing potential cost savings and improvements in patient outcomes to justify the investment.
• Collaborative Purchasing: Forming alliances to negotiate volume discounts and share maintenance costs.
• Leasing or Rental Options: Exploring flexible financing options to reduce upfront costs.
• Grants and Funding: Seeking financial support from government agencies, non-profits, and private foundations.

By addressing these challenges, healthcare robots can be successfully implemented and adopted, contributing to improved patient care and healthcare efficiency. The future of healthcare robotics lies in balancing technological advancements with practical, user-centered design and robust integration into existing healthcare systems.

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Digital health, or eHealth or health tech, represents the convergence of healthcare and technology. It encompasses various strategies in oncology, from electronic health records (EHRs) to mobile health apps and wearable devices. These tools empower healthcare providers to deliver more precise and effective cancer care.

Early Detection and Personalized Treatment

Digital health can revolutionize cancer detection by analyzing vast datasets of patient information, including genetic markers, lifestyle factors, and imaging data. This capability allows for earlier identification of cancer when it’s most treatable, potentially leading to better patient outcomes. Additionally, digital health unlocks the era of personalized medicine by leveraging genetic and molecular data to tailor treatment plans to each patient’s unique profile.

Empowering Patients Through Remote Monitoring

For cancer patients, remote monitoring capabilities offered by wearable devices and telemedicine platforms are a significant benefit. These technologies enable continuous health tracking, reducing the need for frequent hospital visits and improving patients’ quality of life.

Fueling Research and Innovation

The vast amount of data generated by digital health fuels research and clinical trials. This invaluable data accelerates our understanding of cancer biology, treatment effectiveness, and the development of novel therapies. Digital health is a catalyst for significant advancements in the fight against cancer.

Applications of Digital Health in Oncology

• Diagnostics and Screening: Genomic sequencing, liquid biopsies, and radiomics are powerful digital health tools used for early detection, treatment planning, and monitoring disease progression.
• Treatment Decision Support: AI-driven clinical decision support systems assist healthcare providers in making informed and personalized treatment decisions by analyzing vast patient information and medical literature datasets.
• Drug Discovery and Development: Digital health technologies play an increasingly important role in drug discovery and development by streamlining the process and identifying potential drug candidates.
• Remote Monitoring: Wearable devices and sensors continuously monitor vital signs, physical activity, and sleep patterns, allowing healthcare providers to remotely track patient health and intervene when necessary.
• Patient Support and Engagement: Mobile apps and portals empower patients by providing educational materials, medication reminders, symptom-tracking tools, and seamless communication with their healthcare teams.
• Supportive Care Services: Digital health offers access to online support groups, counseling services, and palliative care resources, addressing the holistic needs of cancer patients.
• Data Management and Analytics: EHRs provide a centralized location for patient health information, facilitating care coordination and data-driven decision-making. Big data analytics and machine learning algorithms help identify patterns and trends in vast datasets, improving cancer care and research.

Benefits of Digital Health in Oncology

Digital health offers a multitude of benefits for both patients and healthcare providers:

• Improved Diagnostics and Personalized Treatment: Earlier detection through digital health tools leads to better treatment outcomes. Personalized treatment plans based on individual patient data improve efficacy and minimize side effects.
• Enhanced Care Coordination: EHRs and telemedicine platforms ensure seamless communication and collaboration among healthcare teams, leading to better-coordinated and safer care.
• Patient Empowerment and Engagement: Educational resources and self-monitoring tools empower patients to actively participate in their care decisions and improve their quality of life.
• Research and Clinical Trials Advancements: Digital health generates real-world data that fuels research and accelerates the development of new cancer therapies. AI algorithms streamline clinical trials by efficiently identifying eligible patients.
• Cost Efficiency and Resource Optimization: Telemedicine and remote monitoring reduce the need for frequent hospital visits, lowering costs for both patients and healthcare systems. Data analytics enables better resource allocation, optimizing healthcare delivery.
• Preventative Care: Digital health tools can identify individuals at high risk of cancer, allowing for preventative interventions and potentially reducing long-term treatment costs.

The Future of Digital Health in Oncology

The future of digital health in oncology is promising, driven by advancements in artificial intelligence, virtual and augmented reality, predictive analytics, global collaboration, and evolving regulations. By harnessing the transformative power of digital health and prioritizing a patient-centered approach, we can lessen the burden of cancer and create a future of innovation and compassionate care.

Ethical Considerations and the Path Forward

While digital health offers immense potential, ethical considerations surrounding privacy, equitable access, and responsible data use require careful attention. Collaboration among stakeholders, including patients, healthcare providers, researchers, and policymakers, is crucial to ensure digital health solutions’ ethical and responsible implementation in oncology. This collaborative effort can establish clear data privacy and security guidelines, bridge the digital divide to ensure equitable access, and develop responsible data governance practices that foster trust and transparency within the healthcare system. By working together, stakeholders can ensure that digital health fulfills its promise of transforming cancer care for the benefit of all.

While digital health offers immense potential, it’s vital to address ethical considerations surrounding:

• Privacy and Data Security: Protecting patient privacy is paramount. Robust data security measures are essential to safeguard sensitive health information collected through digital health tools.
• Equitable Access: Unequal access to technology and digital literacy can exacerbate existing disparities in cancer care. Efforts to bridge the digital divide are necessary to ensure everyone benefits from advancements in digital health.
• Responsible Data Use: Clear guidelines and regulations are required to govern the collection, storage, and use of patient data collected through digital health technologies.
  Collaboration for a Brighter Future

Collaboration among stakeholders is key to unlocking the full potential of digital health and ensuring its ethical and responsible implementation in oncology. By fostering a collaborative environment that prioritizes patient-centered care, ethical considerations, and responsible data practices, we can harness the transformative power of digital health to revolutionize oncology. This will lead to a future where the burden of cancer is lessened, and patients have access to more precise, effective, and compassionate care.

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As the pioneering force behind the first and only multi-biomarker analytics platform in over 26 healthcare domains, Molecular You harnesses the power of quantitative proteomics and metabolomics to chart a new frontier in predictive healthcare analytics.

With a staggering repertoire of over 800 biomarkers, Molecular You’s AI-driven software sets a new standard in accuracy, boasting predictive risk profiles with an astonishing 88% precision for chronic conditions and scaling up to the mid-90% range for cognitive disorders. In a realm where every percentage point promises enhanced patient outcomes and proactive disease management, Molecular You’s achievements underscore a paradigm shift in healthcare delivery.

Ash Anwar, the Senior Director of Data & AI at Molecular You, is at the helm of this revolutionary endeavor. With an illustrious career in data science and artificial intelligence, Ash Anwar brings unparalleled expertise to the forefront of multi-biomarker analytics and clinician decision support. In an exclusive interview conducted by RoboticsBiz, we delve into the visionary insights and transformative strides of Molecular You under Ash Anwar’s leadership.

Join us as we unravel the future of healthcare with Ash Anwar, where data-driven insights and AI-driven precision converge to chart a new era of proactive, personalized patient care.

1. Can you elaborate on how your AI-powered blood analytics platform contributes to healthcare transformation, particularly in the context of precision medicine?

Molecular You’s AI-powered blood analytics platform can be pivotal in transforming healthcare, particularly within precision medicine.

Comprehensive Biomarker Analysis:

• Traditional medicine relies on standard clinical biomarkers that haven’t changed in decades, even in the face of increasing evidence that these so-called golden standards may not be the best to detect diseases. For example, it has long been established that prostate-specific antigen (PSA) is not a reliable biomarker for prostate cancer detection, yet it is still employed in traditional medicine.
• Our platform employs advanced technologies, including quantitative proteomics and metabolomics, to analyze a broad spectrum of blood biomarkers, including known clinical standards and additional research-backed biomarkers. Furthermore, using quantitative mass spectroscopy to analyze blood-based proteins and metabolites allows us to analyze these molecules in high throughput and increasingly accurate ways. It allows us to get a more accurate measurement of these biomarkers than traditional clinical tests and reduces errors across multiple measurements. This gives us a more accurate reading of how a patient’s biomarkers may have changed from one test to another compared to clinical blood testing methods.
• Our comprehensive approach of mass spec and integrating data analytics provides a much deeper and intricate understanding of an individual’s health at the molecular level, going beyond traditional diagnostic methods. Traditional medicine relies on biomarkers that become misaligned when a disease and its pathological processes are already underway. For example, when fasting glucose is elevated and used to detect type 2 diabetes, the patient has already lost the ability to regulate blood glucose, so you are measuring a consequence of the disease, a symptom once the disease has already begun. Our approach allows us to measure the biomarkers at the earliest stages of disease; in the context of type 2 diabetes, we can see early perturbation in diabetes-associated biomarkers even before the body loses control of regulating blood glucose levels. This earlier detection allows us to be predictive and preventative, and we can still deflect patients off their path toward developing disease.

Predictive Analytics for Multiple Health Conditions:

• Molecular You has developed predictive algorithms leveraging machine learning to identify patterns associated with various chronic health conditions, including neurological disorders like Autism, Alzheimer’s disease, and Parkinson’s disease.
• This predictive capability enables early identification of health risks, contributing to proactive and personalized interventions.

Personalized Lifestyle Recommendations:

• The platform translates complex biomarker data into actionable insights, offering personalized lifestyle recommendations through a user-friendly web-based interface.
• Users receive targeted advice on diet, exercise, and other lifestyle factors, empowering them to make informed decisions to mitigate health risks. These lifestyle actions play a significant role in keeping us healthy, and being able to coach the patient in adopting healthy habits goes a long way in preventing disease and keeping people living healthy longer and possibly even off medications, which can sometimes have severe side effects. For instance, helping patients improve cardiovascular disease risks before they have a heart attack and/or need to be on statins, which can have severe side effects.

Democratizing Preventive Health:

• By offering a low-cost and accessible solution, Molecular You aims to democratize preventive health.
• The platform enables individuals to proactively manage their health, fostering a shift from reactive healthcare to a more personalized and preventative paradigm.

Enhancing Disease Risk Stratification:

• The AI algorithms contribute to precise disease risk stratification, allowing more accurate identification of individuals at risk for various health conditions. Diseases often stack on top of each other, so a patient who is at risk of diabetes may also be starting to have a risk of kidney disease, heart disease, etc. By using AI algorithms to profile patients uniquely, we can understand their unique signatures of health and disease and identify personalized treatment options for them.
• This information is invaluable for clinicians, enabling them to tailor interventions based on an individual’s unique health profile.

Continuous Innovation and Integration:

• Scientific and clinical research is always ongoing and has the potential to discover new disease mechanisms and new treatments. Molecular You’s commitment to continuous innovation, research investigation, and integration of this new information into our platform ensures that the platform remains at the forefront of scientific and clinical advancements.
• Integrating new technologies and methodologies ensures the platform’s relevance and effectiveness in the evolving precision medicine landscape.

Contribution to Research and Clinical Practice:

• The platform’s insights contribute to individual health and broader research initiatives and clinical practice.
• The data generated can be utilized for ongoing research, further refining predictive algorithms and contributing to the collective knowledge of precision medicine.
• We are working heavily on developing population-level health analytics to help clinicians identify and stratify unique patient profiles and prescribe personalized treatment options at the population level.
• Reducing non-specific therapies and targeted approaches will improve health outcomes and hopefully result in value-based healthcare rather than the traditional medical system’s current pay-for-service “sick” care.

2. Considering the focus on AI in early disease detection and prevention, how does the platform contribute to identifying health risks with such high accuracy, especially compared to traditional diagnostic methods?

Molecular You’s AI-powered blood analytics platform achieves a higher degree of accuracy in early disease detection and prevention by surpassing the limitations of traditional diagnostic methods. While conventional approaches often rely on a single biomarker or narrow indicators, Molecular You employs a comprehensive multi-biomarker analysis, incorporating and integrating metabolites and proteins with patients’ clinical characteristics and medical history. This holistic approach, supported by quantitative proteomics and metabolomics through quantitative mass spectrometry, provides a far more accurate and detailed look into an individual’s health for clinicians. Machine learning algorithms trained on extensive datasets enable the identification of intricate patterns within this wealth of biomarker data, resulting in accurate predictive models for various diseases. This advanced methodology positions Molecular You’s platform as pioneering in early risk identification, outperforming traditional clinical tests and contributing to a transformative approach to personalized healthcare.

3. You claim to be a trailblazer in multi-biomarker analytics. Can you explain the significance of leveraging quantitative proteomics and metabolomics with over 800 biomarkers in delivering highly accurate predictive risk profiles and how this sets you apart in the market?

What sets us apart from the competition in the market is all of the aforementioned value factors: multi-omic analysis, a wide analysis panel of metabolites and proteins, the incorporation and integration of clinical traditional biomarkers with research-backed biomarkers, the use of quantitative mass spectroscopy, continuous research and innovation, and incorporation of machine learning and AI in the field of predictive health analytics, all in a ready-to-consume deliverable platform for clinics. We’ve already been in the field of multi-omics and leveraging machine learning on disease datasets for a decade, and now, being able to build on the wealth of our experience to deliver what we envision will be a game-changing platform for clinicians is what I hope we bring to the market as a value proposition and one that makes us a market leader in the space.

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