TECHINNOVATION TECH OFFERS

Quality sleep is vital for overall health, impacting everything from cognitive function to physical well-being. It supports memory, mood, and immune function, while reducing the risk of chronic diseases. In contrast, poor sleep leads to fatigue, impaired judgment, and a higher risk of illness, underscoring the need for uninterrupted, restful sleep for daily function and long-term health. Current medical devices and surgical options for snoring reduction, like CPAP machines, Mandibular Advancement Devices (MADs), Radiofrequency Ablation (RFA), Uvulopalatopharyngoplasty (UPPP), offers varying levels of effectiveness but often come with drawbacks. While CPAP and MADs are non-surgical, they can be uncomfortable, leading to poor patient adherence due to issues such as mask discomfort or jaw pain. Surgical options vary in invasiveness and come with potential complications, often resulting in low patient compliance. This highlights the need for more comfortable, less invasive alternatives. This patented magnetic interference technology reduces or eliminates the physical discomfort, and/or risks associated with current methods. The technology enhances blood circulation, leading to improved sleep quality. By addressing the relaxation of the palate muscle, which can obstruct the airway during sleep, this technology effectively tackles the root cause of snoring. Integrated into a pillow or other forms, it boosts blood flow to the palate muscle, helping to tone it and prevent it from collapsing during sleep. The technology owner is open to develop and test-bed new use cases in various industries such as wellness, sports-wear, furniture design and producers, hotels, airlines, hospitals and sleep clinics.

Stroke is the second leading cause of death worldwide and in Asia. 85% of stroke patients suffer from cerebral infarction, where blood clots accumulate in brain blood vessels and prevent blood from flowing smoothly. Accurate diagnosis is crucial, and while MRI (magnetic resonance imaging) and MRA (magnetic resonance angiography) scans are essential tools, they fall short by not providing vital blood flow data. This limitation can lead to challenges in both diagnosis and treatment planning. The cerebral blood flow assessment solution provides detailed information about blood vessels and quantitative data on CBF (Cerebral Blood Flow) in a non-invasive way. It allows a precise and straightforward evaluation of cerebrovascular conditions, reducing the need for physicians to rely on invasive procedures and helping them optimize personalized treatment strategies for patients. As the global population ages and the incidence of stroke increases, the demand for more healthcare solutions is also growing. The cerebral blood flow assessment solution provides quantitative flow data, allowing faster and more precise decision making to complement coventional methods of making treatment decisions based on basic medical imaging. Ideal collaboration partners in the value chain include medical institutions, which provide imaging data and clinical context, and with medical device manufacturers that specialize in MR and CT imaging devices.

Leaks in water pipelines are a common problem for utility companies. In the utility sector, the term “real losses” refers to actual physical water leaks that occurs on transmission and distribution mains, leakage and overflow at utility storage tanks and leakage on service connections up to the water meter. These non-revenue water losses cause a significant economic loss even to some of the most well-managed water distribution systems in the world. To manage and reduce water loss, utility companies carry out preventive maintenance, perform active water network monitoring by using noise loggers, smart meters, flow/pressure meters to collect useful data. Another proactive approach is to employ state of the art leak detection and localisation technologies such as acoustic leak detection (hydrophones), accelerometers, or the use of robots/endoscopes. Such approaches often face the challenges of false alarms, inaccurate leak pinpointing, limited exploration range and high cost of long-term monitoring. Developed by a South Korea-based startup, the proposed technology herein relates to an AI-aided exploration robot for underground/buried pipeline diagnosis for leaks, cracks, corrosion, scale, surface damage and other anomalies using image, audio, pH and LiDAR sensor data. Unlike conventional robots, the exploration robot is designed to be relatively small (smallest being 4.4 cm diameter x 11 cm length) to enable direct inspection of the inside of small diameter water pipelines. Designed to complement hydroacoustic technology, the exploration robot also addresses the current challenge of short explorable distance of about 100 m by offering up to 3 km exploration range. The startup is seeking to work with utilities or companies providing services to utilities to perform trial preferably in Singapore and explore long term collaborations in terms of customising solutions to specific applications, as well as technology licensing and revenue sharing through joint development with Singapore-based partners.

The  Intelligent Document Processing (IDP) technology addresses a significant pain point in the transportation and logistics industries: the manual processing of non-standardized documents. Mid-size companies in these sectors often handle over 25,000 pages of mission-critical documents monthly, including commercial invoices, packing lists, and bills of lading. This manual process is not only labor-intensive and costly—exceeding $1 million annually—but also prone to data entry errors that can result in penalties and further operational inefficiencies. The IDP solution uses Machine Learning, Computer Vision and Natural Language Processing automatically extracts, structures, and validates key information from semi-structured and unstructured documents, significantly reducing the need for human intervention. By automating these processes, companies can achieve up to an 80% reduction in operating costs and a 50% increase in productivity. The system's Generative AI ability to provide structured data also enables better analytics and decision-making, further adding value to the users. Potential adopters of this technology include mid-size logistics companies, freight forwarders, and transportation firms seeking to streamline operations, reduce costs, and improve accuracy in their document management processes. By solving these critical issues, the IP offers a valuable solution in a marketplace urgently needing efficient and scalable document processing tools.

The AI-based software for gastric cancer prevention and management is a pioneering medical device that leverages real-time AI diagnostics to improve patient outcomes. This innovative solution aims to enhance the survival rates and quality of life for high-risk gastric cancer patients, reduce healthcare costs by preventing the disease from progressing to more severe stages, and is currently undergoing clinical trials in major hospitals in Korea with related patents secured. Among the world's seven major cancers, the one with the lowest 5-year relative survival rate of 20-30% demonstrates that regular surveillance diagnostics of the high risk patients is the most well-proven preventive measure. The core technology integrates comprehensive AI diagnostics from pre-cancerous stages to cancer and a multi-modal AI personalized surveillance system for optimal preventive management and patient care. Developed in Korea, where millions of endoscopic examinations are conducted annually, this software is designed to maximize the diagnostic and consultative capabilities of physicians and enhance the preventive management functions for patients. The user interface is tailored to meet the needs of doctors, high-risk patients, and their caregivers, with AI algorithms and interfaces continuously improving.  

Gum disease, a widespread and severe condition, often remains undetected until it progresses to advanced stages, leading to significant oral health issues and costly treatments. This AI-driven gum disease detection and management system is designed specifically for home use and caregiving environments, such as care homes. It enables non-specialists to monitor oral health effectively, providing an early and accurate gum disease screening. This technology empowers caregivers, family members, and individuals to take proactive steps in maintaining oral health, especially for care home residents and people with low mobility who may have limited access to regular dental care. Using advanced machine learning algorithms, the system analyses oral images provided by the users to detect early signs of gum disease with high accuracy. Early detection allows timely intervention, reducing the risk of severe gum issues and enhancing overall health. The AI system is user-friendly and requires minimal training to operate, making it ideal for non-professional settings. It addresses a significant market need by providing accessible, reliable, and cost-effective oral health monitoring tools, ensuring that quality oral care is available to those who need it most. This technology improves individual health outcomes and reduces the burden on professional dental services by enabling early disease management.

Controlling both outdoor and indoor air pollution is crucial for protecting human health and the environment. Outdoor air pollution from industrial emissions and vehicle exhaust contributes to respiratory and cardiovascular diseases, global warming, and environmental degradation. Indoor air pollution can also cause chronic respiratory conditions and other health issues. According to the World Health Organization (WHO), outdoor air pollution causes approximately 4.2 million premature deaths annually, while indoor air pollution accounts for around 3.8 million premature deaths each year. Traditionally, wet scrubbers are used to reduce air pollution, ensuring regulatory compliance and protecting human health. However, they have drawbacks such as scaling, fouling, inefficient pollutant removal, and generating solid waste. These issues lead to frequent maintenance, high operational costs, and environmental pollution. This technology addresses these pain points by utilizing an array of water jets without the need for packing materials. This innovative solution offers more efficient pollutant removal, reduced maintenance, a compact design, and lower energy consumption, effectively solving the problems associated with traditional wet scrubbers. The technology owner is seeking collaborations with companies in the chemical/ pharmaceutical/ steel manufacturing sector for test-bedding and research and development (R&D) projects that require an eco-friendly scrubber.

Dementia, particularly Alzheimer's disease, is a significant socioeconomic burden in aging societies. Traditional blood tests are unable to  detect Alzheimer's biomarkers despite that the biomarkers appear 10-20 years before the appearance of cognitive decline symptoms. A groundbreaking ultrasensitive blood biomarker detection technology has been developed to overcome this limitation. This patented technology detects disease biomarkers at femtogram (fg/mL) levels, achieving sensitivity over 10,000 times higher than conventional methods. In addition to advanced biomarker detection, a comprehensive lifelog data collection technology has been integrated. Using smart rings and other wearable devices, extensive lifelog data is gathered, including sleep patterns, activities, and urine test results. This multimodal data collection supports the creation of the world’s largest Asian Senior Cohort, targeting over 30,000 individuals for the next 5 years. A key component of this innovative approach is the AI-based data analysis for the diagnosis and prognosis of dementia and cognitive dysfunction. AI algorithms analyze the comprehensive datasets, providing precise diagnostic insights and predicting disease progression. This AI-driven analysis, combined with ultrasensitive biomarker detection and detailed lifelog data, forms a robust data platform for early diagnosis, continuous monitoring, and personalized healthcare solutions. By focusing on these cutting-edge technologies, this platform offers a holistic and precise approach to managing cognitive health in super-aging societies. This innovative solution supports precision medicine and provides a comprehensive method for the early detection and ongoing management of dementia and other age-related diseases.

Singapore is an aged society and is set to be “super-aged” in 2026. This means that 21% of the population are 65 years and above. In a recent study conducted in Singapore, 72% had some form of cognitive impairment. The number of young onset dementia is also on the rise in Singapore. This underscores the critical need for early detection and intervention. However, existing screening tools for dementia have limitations. Their ability to identify Mild Cognitive Impairment (MCI), an early stage of dementia, is limited. Additionally, these tools require specialized instructors for test administration and scoring, which can be inconvenient for seniors who must visit a facility for screening. This innovative app merges mobile technology with artificial intelligence to address these challenges. It outperforms the MMSE (mini-mental state examination), the most widely used dementia screening test, in identifying both Alzheimer’s disease and MCI. Furthermore, the AI-based automatic scoring system provides test results within one minute, eliminating the need for specially trained instructors. This feature makes the app accessible anywhere, including at home. By enhancing the accuracy, accessibility, and usability of dementia screening, the app aims to facilitate equitable access to essential healthcare resources and contribute to the well-being of individuals and communities.