Health and Well-Being

As climate change accelerates, rising temperatures and extreme heat events are becoming more frequent and severe. Heat stress has become a critical health and safety concern worldwide—particularly for outdoor workers in sectors like construction and landscaping, as well as for athletes and individuals in high-exertion environments. In recent years, cases of heat stroke, dehydration, and other heat-related illnesses have been on the rise, highlighting the need for a more proactive and automated approach to heat monitoring. Traditional manual monitoring often relies on general weather forecasts, which are insufficient—especially in high-heat environments. Without early warning systems, heat stress can go undetected and lead to serious health risks. This automated WGBT (Wet-Bulb Globe Temperature) system provides hourly readings and triggers real-time alerts when conditions exceed safe thresholds. This helps prevent heat strokes before they become life-threatening. The system enables organizations and sports clubs to respond promptly, encouraging individuals to rest and hydrate as conditions change. Data is accessible via mobile devices or web dashboards, with support for multiple deployment sites. Each location is color-coded by temperature levels for easy recognition and rapid decision-making.

With the global rise in ageing populations and a declining birth rate, the healthcare sector is increasingly strained, particularly in the provision of therapeutic and rehabilitative services. This humanoid technology has been designed to augment the capabilities of healthcare professionals, especially therapists, by automating repetitive intervention tasks. The humanoid enables frequent and consistent client engagement, thereby promoting inclusivity and solidarity in care settings. It works collaboratively with professionals to deliver curated intervention modules with clinically evident outcomes. By relieving caregivers of routine duties, the humanoid supports a more person-centric model of care and enhances operational efficiency in eldercare environments. Ideal collaboration partners include: Care providers – Community hospitals, eldercare centres, and day-care operators interested in deploying humanoid solutions for therapeutic engagement. Therapy professionals – Clinicians and therapists seeking technology to support non-pharmacological intervention programs. Deep-tech companies – Firms with expertise in data, image, or video analytics for enhancing humanoid capabilities. Institutes of Higher Learning (IHLs) – Academic institutions conducting research in cognitive health, psychosocial screening, or elderly care innovation.

This technology comprises two AI-powered software solutions that automate radiological image analysis to support the diagnosis and evaluation of knee osteoarthritis (OA) and lower limb alignment. One module enhances musculoskeletal diagnostics by detecting radiographic features such as joint space narrowing and osteophytes using criteria like Kellgren & Lawrence grading. It enables standardized, automated evaluations that support radiologists and orthopedic professionals in making accurate assessments. A complementary module focuses on analyzing lower limb alignment by measuring critical anatomical parameters including the Hip-Knee-Ankle angle, Joint Line Convergence Angle, and Mechanical Lateral Distal Femoral Angle. These automated assessments reduce human error and reading time while improving diagnostic accuracy and consistency. Designed for seamless integration with Picture Archiving and Communication Systems (PACS), this system fits effortlessly into existing radiology workflows. Target adopters include hospitals, imaging centers, orthopedic clinics, and telemedicine platforms seeking improved efficiency, diagnostic consistency, and enhanced musculoskeletal healthcare outcomes.

This technology represents an innovative approach to indoor air quality (IAQ) management, focusing on sustainability and energy efficiency. Leveraging the principle of dilution, outdoor airflow can be adjusted dynamically to balance energy consumption and air quality. The system uses a predefined control algorithm to determine the optimal mix of outdoor and recirculated air based on the concentration of particulate matter or carbon dioxide in the indoor environment. Users can customise the system's operation based on their IAQ requirements, ensuring efficient ventilation while minimising energy usage. This low-cost solution aims to tackle challenges associated with IAQ, energy efficiency, and sustainability that cannot be accomplished by traditional heating, ventilation, and air conditioning (HVAC) systems. Instead, integrating decentralised air purification technologies into building design and urban planning initiatives, indoor pollutants can be removed while minimising operational costs and environmental impact. City planners can now better prioritise IAQ and energy efficiency from the outset, ensuring that future developments contribute to healthier, more livable communities. Public health, well-being, environmental sustainability, and climate resilience can be strengthened. This technology is best suited for retrofitting air conditioning systems in small to medium-sized residential care facilities and commercial buildings.

Cognitive dysfunction and impairment are increasingly prevalent due to aging, neurological conditions, and lifestyle-related factors. These issues can significantly affect memory, attention, and mental well-being, reducing quality of life and increasing long-term healthcare burdens. Traditional interventions—such as medication, physiotherapy, and psychotherapy—often face limitations in engagement, adaptability, and measurable outcomes. This virtual reality + artificial intelligence (VR+AI) Cognitive Therapy & Rehabilitation Platform offers an innovative, science-backed alternative that enhances the way cognitive impairments are managed. Through immersive, interactive virtual reality experiences, patients engage in targeted exercises that stimulate brain functions in a dynamic, gamified environment. The platform is designed to improve cognitive function, memory, and emotional health by encouraging active participation and consistent therapy adherence. Validated in clinical settings, this technology enables more engaging and effective cognitive rehabilitation while reducing dependency on one-on-one therapist-led sessions. It presents significant opportunities for collaborative development and clinical research in the fields of neurology, mental health, and geriatric care. Collaboration partners may explore joint clinical trials, co-creation of specialized therapy modules, and integration with broader digital health ecosystems to extend the platform’s reach and impact. Different forms of solution catered for hospital or home use are available.

The AI-Enhanced Smart Spectacles integrate camera-based eye tracking, photoplethysmography (PPG) sensors, and electroencephalography (EEG) sensors into a lightweight and comfortable spectacle frame. This multi-modal data collection system enables real-time monitoring of eye movement, brain activity, and heart rate, offering deep insights into a user's cognitive state, stress levels, and overall neurological health.   Using AI-driven analytics, the system can detect early signs of stress-related vision problems, cognitive fatigue, and mental health disorders, providing preventive interventions before symptoms manifest. A key focus is helping teenagers avoid vision fatigue and prevent anxiety and depression by offering early detection and proactive recommendations.   In addition, it offers a multi-model approach with a health assessment machine,  a stationary diagnostic unit designed for in-depth cognitive and emotional health evaluations. This machine leverages AI-driven analytics to integrate facial expression recognition, pulse waveform analysis, eye movement tracking, and neural activity assessment, offering high-precision mental and neurological health diagnostics. It serves as an advanced assessment tool in clinics, schools, and corporate wellness programs, allowing detailed stress profiling and personalized intervention recommendations.   This non-invasive, wearable AI solution is designed for healthcare, education, and corporate wellness applications, ensuring continuous well-being monitoring for users in their daily lives. The technology owner is looking for potential licensing and use-case collaborations in Singapore. 

With increasing discoveries of new pollutants being detrimental to human health and the environment, there have been an increasing scrutiny of air pollution, industrial emission and air quality through tighter government regulations. With the increasing importance to detect different combination of analyte concentrations within an area, there is a growing demand for electronic olfactory system. Laboratory multi-analyte analysis method, like gas chromatography and mass spectrometry (GC/MS), provide high accuracy and selectivity but is time consuming, complex and not portable. Comparatively, industrial gas sensors, like micro-electromechanical systems (MEMS), are portable and simple but lack the selectivity of chemical substances and do not operate in real-time. The technology owner has leveraged on Field Asymmetric Ion Mobility Spectrometry (FAIMS) with a proprietary odour analysis system built on extensive experimental data to develop a compact, lightweight spectrometer for real-time multi-analyte analysis.  While this system may not fully match the performance of laboratory-grade mass spectrometry, it offers higher accuracy and selectivity than industrial gas sensors, enabling continuous, non-invasive analysis on the go. Notably, it excels in ammonia detection by achieving highly sensitive measurements ranging from sub-ppb to several hundred ppb. The technology owner is currently seeking industrial collaborators looking to explore digital olfaction devices for multi-analyte analysis application, particularly for ammonia-based detection, which leverages on the technology’s high selectivity and sensitivity.

Traditional air purification methods rely on consumable filters (HEPA, carbon) that require frequent replacement or UV-C systems that consume high energy, leading to high maintenance costs and inefficiencies in long-term air quality management. Poor indoor and outdoor air quality is a major health and environmental concern, contributing to respiratory diseases, allergies, and long-term conditions i.e asthma and cardiovascular issues. This photocatalytic air purification technology offers a maintenance-free, energy-efficient solution for sustainable air quality management by integrating porous ceramic nanolayers with LED activation to effectively remove VOCs, odors, pathogens (viruses, bacteria, fungal spores), and harmful gaseous pollutants like NOx and SO₂. Unlike conventional HEPA or carbon filters that require frequent replacement or UV-C systems that consume high energy, this innovation eliminates the need for consumables and intensive maintenance, reducing operational costs while delivering up to 99.99% pollutant removal efficiency. Designed for manufacturers of HVAC systems, air purifiers, and air quality solutions across healthcare, food processing, agriculture, automotive, and residential industries, this technology meets the growing demand for sustainable, cost-effective, and health-conscious solutions. Its scalability and adaptability make it an ideal choice for industries prioritizing clean air, regulatory compliance, and environmental responsibility, providing a future-proof alternative to traditional air purification methods. Technology owner is looking for collaborations with device manufacturers (HVAC, air purifiers, home appliances), agricultural and food storage facilities, healthcare institutions, industrial and commercial building developers for R&D, licensing, piloting or licensing.

The global diabetes prevalence is estimated to be 9.3% in 2019 and is expected to rise to 10.9% by 2045 [1]. Although there is no cure for diabetes, regular blood glucose monitoring and appropriate medication can control the symptoms. Electrochemical glucose meters are accepted as being the most accurate and reliable glucose measurement devices. However, they are invasive and patients need to take three to six measurements daily. As a result, their nervous system may be damaged due to long-term usage. There are several proposed approaches for non-invasive glucose monitoring, mainly based on optical, transdermal and electrochemical techniques. Due to the nature of these technologies, the proposed approaches are not suitable for continuous monitoring. This blood glucose monitoring device is a wearable sensor that makes use of transmission line implemented using a microstrip working at microwave frequencies to measure blood glucose non-invasively and continuously. The technology owner is looking for licensees to commercialise this technology. [1] Saeedi, P., et al. (2019). Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045. Diabetes Research and Clinical Practice, 157, 107843.