AI In Healthcare

Capsule endoscopy is a non-invasive diagnostic method that utilizes a tiny, wireless camera capsule to capture images of the digestive system, which aids in identifying various conditions. Studies indicate that colon cancer is the leading cause of cancer-related deaths among men aged 20-49, and capsule endoscopy is the least invasive examination capable of detecting the early stages of this cancer, alongside other pathologies such as inflammatory bowel disease, ulcers, tumors, and gastro-intestinal bleeding. Without this procedure, these conditions often go undetected and become untreatable by the time noticeable symptoms appear. This technology offer is a remote capsule endoscopy examination, aiming to make colon diagnosis more widespread among people and extend its use to animals, primarily pets like dogs. Regular capsule endoscopy colon screenings are the only way to prevent the growth of undetectable pathologies. Remote technology enables patients to move around or work without needing to stay in a medical facility, allowing diagnoses to be conducted in areas previously unreachable by capsule endoscopy, such as on battlefields, in underdeveloped regions, or even by astronauts in space. The system includes an artificial intelligence module that automatically identifies and suggests potential pathologies in the images to the examining physician. This information assists doctors in quickly navigating through the collection of images, and it can help detect pathologies that may necessitate a more invasive diagnosis or immediate treatment. The technology owner is eager to engage in R&D collaboration with product development partners for gastro-intestinal endoscopic applications for both humans and animals.

Due to social stigma surrounding Sexually Transmitted Diseases (STD), cost barriers, and lack of awareness, a large proportion of men suffering from male health issues avoid accessing in-person medical care, instead, many men turn to online sources such as search engines or discussion forums to seek help. This further compounds the problem as this failure to seek medical attention leads to delays in diagnosis and subsequent treatment, while misinformation and misguidance from the general public can be dangerous and life-threatening. This technology aims to address the gap between crowd-sourced diagnosis and primary healthcare practitioners through a fully anonymous, AI-driven mobile application screening tool that covers 90% of genital pathologies e.g. bumps and lesions, and certain disease and viruses, such as syphilis, herpes, Human Papillomavirus (HPV). This technology offer is Artificial Intelligence (AI) enabled mobile application that utilises a Convolutional Neural Network (ConvNet or CNN) deep learning algorithm equipped with custom-built network layers to screen for male health issues, e.g. genital warts, sexually transmitted diseases (STD) etc. Data augmentation techniques and synthetic data generation methods have been used to vary the dataset and increase and sample size for realistic model training and testing. The highly accurate model has an accuracy of 60-90% for most cases of STI/STDs.

This technology offer is a 60GHz compact radar solution for smart wellness. The radar provides real-time detection of presence, movement, breathing or lack thereof, and falls by measuring breathing patterns and vital signs. The solution can also provide sleep monitoring services for sleep care, sleep quality scoring, and recommendation of lifestyle patterns for better sleep. The sleep data accumulated from the radar can be analyzed for illness prediction, including Alzheimer’s and Parkinson’s. The solution provides a broad range of applications for smart wellness and smart offices. The radar detects: Presence, movement, patterns Incidents including breathing, lack there-of, slip & fall Sleep data Illness prediction from breathing patterns

Mental health has become one of the biggest risk factors in accelerating illness and accounting for the largest component in occupational health claims. Managing mental health-related issues often require individuals’ conscientious efforts to seek suitable treatment regime including psychotherapy, which may be dependent on the availability of therapists or mental health practitioners. This calls for alternative solutions that can support individuals for managing their mental wellbeing, thereby improving their quality of life.  Digital therapeutics (DTx) are evidence-based therapeutic interventions for the prevention, management or treatment of medical conditions or diseases, including mental health-related issues. These include digital self-management implementations in formats such as mobile apps, sensors, virtual reality, or other tools to prompt behavioral changes in users. Aiming as a transformative DTx to improve health and reduce healthcare-associated costs, the current technology is a clinically proven digital mobile-based psychotherapy tool that collectively measures certain physiological parameters as an objective digital biomarker of stress. With its implementation in smartphones and mobile apps, this provides ease of accessibility to individuals for his/her objective stress assessment. The technology is currently a CE Class I Medical Device and is approved with GDPR, HIPPA, PHIPA, ISO 13485, ISO 9000 and ISO 27001. The Singapore-based technology owner has completed three clinical trials in use cases including cancer, anxiety and athletic endurance.  The technology owner is seeking potential licensees, including players in telemedicine sector, pharmaceutical companies or insurance companies who may have interests to license their stress digital biomarkers via API/white label, and/or the associated proprietary technology.

Breast cancer is one of the leading causes of mortality in the world and the most commonly occurring cancer in women. On average, one in 11 women will be affected by breast cancer in their lifetime, with more than 2.3 million women diagnosed in the year of 2020 alone. Early detection has the potential to save lives by significantly enhancing the survival rates as the chances of recovery drops significantly beyond stage 2 of the disease. Many countries have established screening programs for breast cancer as measures for early disease detection, as well as implemented relevant reimbursement schemes for supporting these programs. Among various screening methods, 2D mammography has been found to be the most accurate way of conducting such programs for large populations. However, there still lies challenges with existing mammography screening including inefficiencies in current clinical care workflow causing long waiting periods and inaccuracies in manual reading interpretation. The technology addresses these issues by augmenting the existing clinical workflow for radiologists diagnosing breast cancer by first, allowing for faster mammogram readings, and second eliminating the requirement for double-blind reading per screen for each diagnosis. The AI assistive technology tops in Asia for its proven AI algorithm for breast cancer detection at one of the highest AUC accuracy levels of 0.96, and is capable of reducing false positives for dense breast in Asian women.

The platform assists and empowers health care professionals, researchers and third-party developers to develop their own solutions with an Artificial Intelligence (AI) driven platform. The AI platform works seamlessly with the company's award-winning portable EEG headset to provide developers with the ability to analyze the brain signals of users; measuring mental states including but not limited to attention, relaxation, mental workload and fatigue.  The technology reveals numerous potential avenues to explore complementary, intervention programs for mental wellness, such as Attention Deficit Hyperactivity Disorder (ADHD) in children, rehabilitation programs for stroke patients, cognitive rehabilitation for seniors and other neurological issues. 

This innovation provides an easy to use, accurate wearable motion tracking and digitalization technology. Healthcare, sport, work, and in basically every field objective data acquisition and its comparison to reliable data from other sources is required to make the right decisions. The proposed product brings the essence of digitized motion, which is needed for next generation movement-based applications.

This technology offer is a soft tactile sensor with low operation voltage and ultralow power consumption, intended for use in robotic devices, human-machine interactions and health monitoring devices. This flexible tactile sensor uses low-cost printing processes and is adaptable on any active surfaces. The technology is also amenable to fabrication of flexible, large area sensor arrays as well as high density, high spatial resolution active matrix tactile sensors.

Core body temperature is an important vital sign indicating the health status of a person. This technology offer is a wearable core body temperature sensor for continuous and non-invasive measurements. The miniaturized sensor is ideal for the integration into wearable devices and med-tech/health-tech devices with skin contact. Both stand-alone solution and integrated circuit (IC) level solutions are available.