TECH OFFERS

This technology is a patented synbiotics (combination of probiotics and prebiotics) cleaning solution that offers a safe and sustainable alternative to traditional cleaning products and disinfectants. When released onto the surface, the probiotics will digest and break down dirt, grime, and other unwanted substances while the prebiotics in the solution act as an additional source of nutrition for the probiotics. The resultant surface microbiome provides a continuous cleaning effect that is longer lasting than traditional cleaning chemicals and disinfectants. Often, the overuse of traditional chemicals and disinfectants results in antimicrobial resistance (AMR), allergenic reactions to the user, negative impact on the environment and short effective lifespan. With this synbiotics technology, users can overcome these limitations and achieve a long-term effective cleaning system and a natural microflora to the environment. When utilised in healthcare settings, the synbiotics cleaning solution demonstrated a higher reduction of pathogens (80% more), decreased AMR (up to 99.9%) and health-associated infections (52% lesser). The technology owner is interested in co-development projects and test-bedding opportunities with companies looking for a sustainable and long-lasting cleaning technology i.e., cleaning equipment and automation manufacturers/suppliers and cleaning service providers. This technology consists of proprietary dual action deep cleaning probiotics enzymes and specially formulated surfactants which helps to detox surfaces, break down biofilm and dirt components through a continuous cleaning effect and microscopically purifying down to the deepest pores of surfaces. Main features of this synbiotics cleaning technology include: High efficacy and able to target broad spectrum of pathogens Long-lasting and continual cleaning efficacy Safe and non-toxic Decreased AMR (up to 99.9%) Reduction in health-associated infections (52%) Suitable for water-resistant surfaces This technology can be deployed across several sectors including healthcare, commercial, industrial, and residential buildings on water resistant surfaces (floor and walls). The technology owner has successfully test-bedded the technology in local healthcare institutions. By varying the probiotics used, this technology may also be used in agriculture, aquaculture, animal husbandry and personal care applications to extend the benefits of probiotics into new products. The global healthcare facilities and household cleaner market is estimated to be valued at US$55 billion in 2022. With the continuous use of chemical disinfectants, multi-resistant bacteria like super bugs and MRSA are expected to raise AMR and account for a rise in AMR-related deaths. This synbiotics cleaning technology can overcome and reduce AMR concerns, maintaining a long-term effective cleaning system and a natural microflora to the environment. This technology overcomes limitations in using conventional cleaning products and disinfectants such as: Limited effective short lifespan results Increasing health risks (acute & chronic) to both the user and consumers Requires more manpower & cleaning frequency Difficultly in breaking down biofilms, causing recurring odour and dirt It also provides and maintains a chemical-free, long-term effective cleaning system through the dual action deep cleaning efficiency. The technology owner is interested in co-development projects and test-bedding opportunities with companies looking for a sustainable and long-lasting cleaning technology i.e., cleaning equipment and automation manufacturers/suppliers and cleaning service providers. probiotics, prebiotics, cleaning, synbiotics, sustainable, eco-friendly, long-lasting, microbiome, antimicrobial, antimicrobial resistance, natural, health associated infections, sanitisation, disinfectant, chemicals Environment, Clean Air & Water, Biological & Chemical Treatment, Sanitisation, Chemicals, Bio-based, Sustainability, Sustainable Living

The regulations aimed at reducing carbon emissions have led to the adoption of a remodelling strategy that focuses on decreasing the energy usage of buildings. This can be achieved through measures such as thermal insulation and retrofitting, which extend the lifespan of buildings while reducing their energy consumption. The proposed technology by a Singapore-based research team utilises proprietary Fibre Reinforced Polymer (FRP) material for reinforcement to enhance the longevity of buildings. It contains a modified epoxy adhesive used in the FRP-adhesive-concrete interfaces to provide a range of advantageous properties, that include being 5 times lighter while 10 times higher tensile and flexural strength than steel, cost-effective in production, easily shaped, demonstrating high corrosion resistance, and offering both flexibility and tolerance to misalignment. In addition, through the modification of bonding agents and surface aerogel insulation, the fire retardancy of the material had been enhanced by 3 classes to V-0 rating according to the UL 94 plastic flammability standard. Among the superinsulation materials, aerogel stands out with its unique acoustic properties and significantly lower thermal conductivity of approximately 0.014 W/m.K. Additionally, it possesses exceptional physical and chemical attributes, such as its translucent structure. As a result, it is widely regarded as one of the most highly promising materials for thermal insulation in building applications. The FRP technology is currently pending fire testing to meet local regulatory requirements (e.g., BS 476 Part 20-23) and will be subjected to evaluation by the Building Innovation Panel of BCA in coming months. The technology owner is keen to support interested industrial partners to fabricate larger prototype of the FRP for test-bedding on site, and eventually license the intellectual property to the industrial partner for commercialisation. Through the external strengthening of structural components, the fire retardant FRP improves structural properties, leading to reduced environmental concerns, lower construction material costs, decreased labour requirements, and reduced CO2 emissions into the atmosphere. Silica aerogels typically exhibit a longitudinal acoustic velocity on the order of 100 m/s, making them suitable for various applications in acoustic devices for noise insulation. Furthermore, aerogels boast the lowest refractive index and dielectric constant among all solid materials. FRP is regarded as superior to conventional steel due to its notable advantages, including exceptional corrosion resistance, high flexibility, and tolerance to misalignment. It is also lightweight, cost-effective to produce, easy to shape, and possesses high tensile and flexural strength. Furthermore, FRP exhibits elastic properties. By modifying the bonding agent used in FRP-adhesive-concrete interfaces, the strength from the FRP developed using the proposed technology can be enhanced by 12%, and its flammability can be improved from an unclassified level to achieving a V-0 rating under the standard UL-94. Previously, aerogel found limited use in small-scale applications within the aerospace industry. However, there is now a growing trend of employing aerogel for larger building-integrated applications, aiming to reduce energy consumption. This has sparked renewed interest from both start-ups and established insulation manufacturers. The technology itself is relatively straightforward, making it an attractive choice for building owners and architects seeking a simple solution to lower energy costs. By incorporating aerogel insulation, buildings can enhance their energy performance and provide improved comfort and satisfaction for occupants. Remarkably, this technology can be applied to various types of buildings, including HDB flats, shop houses, commercial and industrial buildings, as well as both landed and non-landed housing units. Moreover, its versatility extends to both existing structures and new construction projects. Looking ahead, aerogel insulation is poised to play a significant role in the future of green building materials. Its applications extend beyond buildings and encompass areas such as architecture, vehicles, aircraft, spacecraft, and marine insulation. Meanwhile, fire retardant fibre reinforced polymer (FRP) materials have emerged as a valuable solution for building retrofitting and structural strengthening applications, particularly in terms of fire safety. These materials combine the strength and flexibility of FRP with fire-resistant properties, making them an effective choice for enhancing the fire resistance of existing structures or strengthening them to withstand fire-related incidents. When applied to building retrofitting, fire retardant FRP materials can be used to upgrade the fire performance of structural elements such as columns, beams, slabs, and walls. This approach is particularly beneficial for structures that do not meet current fire safety codes or have aged fire protection systems. The unique value proposition of aerogel insulation materials lies in their exceptional thermal performance, lightweight nature, versatility, moisture management capabilities, enhanced comfort, longevity, and environmental sustainability. These qualities make aerogel insulation materials an attractive choice for a wide range of building applications, offering significant energy savings and improved building performance. The fire retardant FRP is able to enhance fire resistance, provide structural strengthening, resist corrosion, offer lightweight and space-efficient solutions, ensure flexibility and ease of installation, offer cost-effectiveness, and provide design versatility. These qualities make fire retardant FRP materials a compelling choice for improving the fire safety and structural integrity of buildings. Aerogel blanket, Thermal insulation, Acoustic insulation, Fibre reinforced polymer, Fire retardant Materials, Composites, Environment, Clean Air & Water, Biological & Chemical Treatment, Green Building, Façade & Envelope

As the world continues to make strides in artificial intelligence (AI), the need for transparency in the field intensifies. Clear and understandable explanations for the predictions of AI models not only enhances user confidence but also enables effective decision-making. Such explanations are especially crucial in sectors like healthcare where predictions can have significant and sometimes life-changing consequences. A prime example is the diagnosis of cardiovascular diseases based on heart murmurs, where an incorrect or misunderstood diagnosis can have severe implications. The technology, DiagramNet, is designed to offer human-like intuitive explanations for diagnosing cardiovascular diseases from heart sounds. It leverages the human  reasoning processes of abduction and deduction to generate hypotheses of what diseases could have caused the specific heart sound, and to evaluate the hypotheses based on rules. The technology tests which murmur shapes are present in the heart sound to determine the underlying cardiac disease. This approach of abductive-deductive AI reasoning can also be applied to other diagnostic or detective tasks. DiagramNet uses deep learning AI to perform four key steps: ‘Observe event’ by observing displacement to interpret its amplitude, murmur location, and the heart phase in which the murmur occurred. ‘Generate plausible explanations’ by listing possible diagnoses, retrieving respective murmur shape functions, and initialising their corresponding shape hypotheses. ‘Evaluate plausibility’ by fitting each hypothesis to the observation, evaluating the rules in terms of shape goodness-of-fit in conjunction with matching the murmur heart phase. ‘Resolve explanation’ with the hypothesis-fitted inference and the initial inference to make a final inferred diagnosis. By offering clinically relevant explanations in an accessible format, DiagramNet bridges the gap between complex AI predictions and user understanding, fostering trust and actionable insights in critical healthcare applications. Many existing AI models struggle to provide meaningful and easily interpretable explanations—they are either too technical or too simplistic. As such, there is an opportunity for a novel AI model that can generate thorough and easily understandable explanations. In the medical field, diagrams can be particularly beneficial when it comes to illustrating complex observations and making interpretations more accessible to non-technical users and patients alike. Enhances interpretation of AI decisions through a design framework for diagrammatic reasoning. Accelerates and strengthens the adoption of AI technology by leveraging diagrams that adhere to domain conventions. Presents a diverse array of explanation types, namely, abductive, contrastive and case-based explanations. Facilitates trust and consistency in AI-based cardiac diagnosis by providing murmur diagrams which are a universally understood tool among clinicians. Explainable Artificial Intelligence, Healthcare ICT Infocomm, Artificial Intelligence

In a world where resources are diminishing and demands are rising, the value of land has significantly increased for clean energy and food production. Agrivoltaic farming represents a potential game-changing solution that can bring substantial benefits to both the energy and food sectors. The patented technology is a tubular solar photovoltaic (PV) module designed for agrivoltaic farming. The unique tubular nature of the system allows sunlight, water, and wind to reach the plants below while simultaneously harnessing solar power. Moreover, the tubular modules can provide consistent partial shading to protect the plants and reduce ambient temperature and ground moisture loss. This technology enables the dual use of land by integrating agricultural activities such as farming and gardening with solar power generation, maximising the value derived from the limited land. The combination of energy harvesting and agriculture has significant potential to improve farming productivity, increase land-use efficiency, reduce carbon emissions, and promote environmental sustainability. The technology owner is keen to collaborate with partners interested in agrivoltaic farming like farmers, gardeners, agritech companies, research centres, and ministries to test-bed and adopt their tubular solar PV technology. The technology owner is also seeking industrial partners (e.g., manufacturers, system integrators, architects, designers, etc) to co-develop a complete solar energy solution or integrate the tubular solar PV modules into specific use cases. The technology owner has developed an innovative tubular solar PV module that integrates flexible thin-film solar PV stripes into glass tubes arranged in parallel. The unique design allows for the permeation of sunlight, rain, and wind through the module. The key features of this technology are: Efficient sunlight utilisation: unique design allows it to capture more direct sunlight for electricity conversion Sunlight and rainwater permeability: increase productivity and crop yields Wind permeability: enable the usage of structures with lower load bearing, reducing the system cost Partial cooling shading: reduce moisture loss and protects the plants from excessive solar radiation Consistent protection: protect the plants below from heavy rain and hail damage Long-term reliability: monolithic PV cells continue work when partially damaged or shaded Self-cleaning capability due to cylindrical shape: reduce maintenance cost compared to conventional panels Modular design with various sizes: allow customisation for specific requirements and facility scalability Horizontal solar PV elevation: enable simple and fast installation (seamless array over large area) The potential applications include but are not limited to: Farms (agriculture, aquaculture, viticulture, horticulture, etc.) Gardens (open gardens, green roofs, etc.) Building façade and rooftop Greenhouses Natural parks, reservoirs, and lakes Other applications (EV charging stations, outdoor canopies, cabanas, pergolas, etc.) The patented technology offers the following unique features: Maximised land-use efficiency: dual use of the land High energy efficiency: constant direct sun exposure Optimised plant growth: light, water, and wind permeability High reliability and good long-term performance Low operating expense (OPEX): negligible maintenance Agrivoltaic Farming, Agrophotovoltaics, Agrisolar, Dual-Use Solar, Ultra Low Light Sensitive PV, Agrivoltaics Energy, Solar, Sustainability, Low Carbon Economy

Recently, the rising adoption of Internet of Things (IoT) devices and portable electronics has made electronic waste (e-waste) pollution worse, especially when small and low-power IoT devices are single-use only. As such, low-cost and environmentally friendly power sources are in high demand. The technology owner has developed an eco-friendly liquid-activated primary battery for single-use and disposable electronic devices. The battery can be activated by any aqueous liquid and is highly customisable to specific requirements (i.e., shape, size, voltage, power) of each application. This thin and flexible battery can be easily integrated into IoT devices, smart sensors, and medical devices, providing a sustainable energy solution for low-power and single-use applications. The technology owner is keen to do R&D collaboration and IP licensing to industrial partners who intend to use liquid-activated batteries to power the devices. The technology is a single-use and non-rechargeable battery that can be instantly activated by any aqueous liquid (e.g., water, fruit juice, soft drink, etc.) as well as all types of body fluids (e.g., blood, saliva, urine, sweat, bile, etc.). The features of this technology are: Customisable shape, size, and power (1.5 to 6.0 V at 4 to 50 mW) Ultra-thin and flexible (<1 mm in thickness) Lightweight (when dry) High energy density (less than 5 mm2 for low-power application: 1.5 V, 2 mAh) Indefinite pre-activation shelf-life (no self-discharge) Non-toxic and biocompatible (safe for human beings) Environmentally friendly (no disposal pollution) This inherently safe and non-toxic battery can be widely applied in MedTech applications, disposable IoT, smart sensors, and low-power electronics. The potential applications include but are not limited to: Medical devices: digital pills, ingestible sensors, smart bandages, wearable biosensors, in-vitro diagnostics (IVDs), body fluid testing, etc. Disposable IoT: Bluetooth Low Energy (BLE) chips, microprocessors, wireless sensors (pH, temperature, humidity), micromotors, LEDs, heaters, etc. Other low-power electronics: smart labels, electronic skin patches, cold chain monitoring, smart packaging, etc. The technology offers the following unique features: Highly customisable for different applications Thin and flexible (adaptable to various designs) Long shelf-life (can be sealed for a very long time) Biocompatible (can be safely consumed) Environmentally friendly and non-toxic The technology owner is keen to do R&D collaboration and IP licensing to industrial partners who intend to use liquid-activated batteries to power the devices.  Primary Battery, Environmentally Friendly, Non-Toxic, MedTech, Disposable IoT Energy, Battery & SuperCapacitor, Healthcare, Medical Devices, Infocomm, Internet of Things

The latest Singapore National Population Health Survey has reported a concerning diabetes trend. From 2019-2020, 9.5% of the adults had diabetes, slightly dropping to 8.5% from 2021-2022. About 1 in 12 (8.5%) of residents aged 18 to 74 were diagnosed, with an age-standardised prevalence of 6.8% after accounting for population ageing. Among the diabetes patients, close to 1 in every 5 (18.8%) had undiagnosed diabetes, and 61.3% did not meet glucose control targets. Prediabetes is also prevalent, with 35% progressing to type 2 diabetes within eight years without lifestyle changes. Untreated Type 2 diabetes can lead to severe health issues. Tackling this challenge requires a holistic approach, focusing on awareness, early diagnosis, and lifestyle adjustments for diabetes and prediabetes. Recognising the need for innovation to address this, the technology owner develops a cost-effective and non-invasive AI-powered solution, Blood Glucose Evaluation And Monitoring (BGEM), that detects glucose dysregulation in individuals to monitor and evaluate diabetic risks. BGEM allows users to track their blood glucose levels regularly, identify any adverse trends and patterns, and adopt early intervention and lifestyle changes to prevent or delay the onset of diabetes. Clinically validated in 2022, with a research paper published in October 2023, the technology is open for licensing to senior care/home care providers, telehealth platforms, health wearables companies, and more. The BGEM technology is an end-to-end managed AI platform that leverages Photoplethysmography (PPG) enabled wearable sensors to monitor various heart rate variability (HRV) features associated with blood glucose fluctuation. The solution comprises the following features: Optimised and validated AI algorithm Mobile Demo App Including UI/UX design guideline User-friendly visualisations SaaS Scalability Security API Integration The BGEM technology offers a cost-effective, non-invasive approach to predicting an individual's diabetes risk. The applications include: Population Health Perspective: The technology leverages the high growth rate of smart wearables and hearables, presenting an opportunity to identify undiagnosed diabetes individuals within the population. Preventive Health Monitoring: With the ability to monitor blood glucose changes regularly at minimal cost, the technology empowers high-risk users to adopt a healthier lifestyle and, therefore, prevent or delay the onset of diabetes. Diabetes around the world in 2021: 537 million adults (20-79 years) are living with diabetes, 1 in 10. This number is predicted to rise to 643 million by 2030 and 783 million by 2045. Over 3 in 4 adults with diabetes live in low- and middle-income countries. Diabetes is responsible for 6.7 million deaths in 2021 - 1 every 5 seconds. Diabetes caused at least USD 966 billion dollars in health expenditure – a 316% increase over the last 15 years. 541 million adults have Impaired Glucose Tolerance (IGT), which places them at high risk of type 2 diabetes. Overview of the wearable technology market: The market is projected to expand at a compound annual growth rate (CAGR) of approximately 12.5% between 2023 to 2030. Estimated to be worth USD 55.5 billion in 2022, with a projected revenue of USD 142.4 billion by 2030. Current blood glucose monitoring technologies either require finger pricking for blood extraction or the insertion of sensors into the skin and discomfort through wearing patches for extended periods. Instead, the technology uses external sensors and algorithms to detect and predict diabetes risk. No object needs to be inserted into the user's body or continuously worn throughout the day, resulting in minimal pain and discomfort. Additionally, the only equipment required for testing is the wearable device. No additional disposable equipment needles or test strips are needed, which makes blood glucose monitoring much more convenient and cost-effective than other "State-of-the-Art" solutions. The Unique Value Proposition of BGEM include: Market-ready: It is a market-ready non-invasive diabetes risk detection and prediction AI solution that leverages consumer-grade wearables to detect blood glucose dysregulation. Performance: Demonstrates outstanding prediction and detection capabilities. Cloud-based: Operates on a cloud-based platform for seamless integration. Third-party compatibility: Easily implemented with third-party devices and apps. Sustainability: Reduction in bio-medical waste such as needles, test strips etc User-friendly: Non-invasive, convenient and allows frequent measurement. Non-invasive measurement, blood glucose, diabetes mellitus, preventive healthcare, AI, ML, Wearables, PPG, Blood Glucose Monitoring, Diabetes Monitoring, Diabetes Evaluation, Non-Invasive Diabetes Monitoring, Diabetic Risk Assessment Infocomm, Artificial Intelligence, Healthcare, Diagnostics

In Singapore, more than 30,000kg of okara are generated from soya milk and tofu production. Due to the high amount of insoluble dietary fiber and a unique, poignant smell of okara, it is often discarded as a waste product. Despite okara's low palatability, it is rich in nutrients. Therefore, the technology owner has developed a cost-effective formulation to include okara in feed for abalone. The formulation can potentially be adapted and customised for other aquatic species. The technology owner is seeking potential partners to license and commercialise the technology. The technology allows for an alternative nutrient source for animal feed allowing for the sustainability of food supply and reduction of food waste. The formulation consists of a cost-effective plant-based functional ingredient, lowering the costs of feed for aquaculture farms. The nutritional composition can be tailored for different species to increase growth rates and survivability. Okara is used as a cost-effective feed for high-value abalone, a commonly cultured species of mollusc. Okara-based feed results in the beautiful purple colouration of the shell and increased growth and survivability of abalone. In comparison, the okara-based feed costs ~30% less than commercial feed used in the industry. There is potential for okara to be included in feed for other aquatic species such as shrimp and fish. The success of this method will valorise okara, transferring them into a nutrient-dense aquatic feed while promoting a more environmentally sustainable food production chain.       okara, aquatic feed Foods, Ingredients

One use of AI, including deep learning, is in prediction tasks, such as image scene understanding and medical image diagnosis. As deep learning models are complex, heatmaps are often used to help explain the AI’s prediction by highlighting pixels that were salient to the prediction. While existing heatmaps are effective on clean images, real-world images are frequently degraded or ‘biased’-such as camera blur or colour distortion under low light. Images may also be deliberately blurred for privacy reasons. As the level of image clarity decreases, the performance of the heatmaps decreases. These heatmap explanations of degraded images therefore deviate from both reality and user expectations.  This novel technology-Debiased-CAM-describes a method of training a convolutional neural network (CNN) to produce accurate and relatable heatmaps for degraded images. By pinpointing relevant targets on the images that align with user expectations, Debiased-CAMs increase transparency and user trust in the AI’s predictions. Debiased-CAMs are effective in helping users identify relevant targets even on images affected by different clarity levels and multiple issues such as camera blur, poor lighting conditions and colour distortion. The AI’s prediction also becomes more accurate. As the model is trained using self-supervised learning, no additional data is needed to train it.  The training for Debiased-CAM is generalisable, and thus applicable to other types of degraded or corrupted data and other prediction tasks such as image captioning and human activity recognition. Used to train a convolutional neural network (CNN) to produce accurate and relatable heatmaps for degraded images. By pinpointing relevant targets on the images that align with user expectations, Debiased-CAMs increase transparency and user trust in the AI’s predictions. It also increases the ability of meeting regulatory standards to deploy CNN models in the following applications, where explainable AI is required. Healthcare, eg. Radiology Autonomous Vehicles   Produces accurate, robust and interpretable heatmaps for degraded images Works on images with multiple degradation levels and types such as blurring and improper white balance Agnostic to degradation level, so that enhancement can be applied even when the level is unknown Perceived by users to be more truthful and helpful as compared to current heatmaps distorted due to image degradation Method of training can be applied to other degradation types and prediction tasks Explainable AI Infocomm, Video/Image Analysis & Computer Vision, Artificial Intelligence

Cadaveric bones are used to carry out medical training for surgeons and trainees. However, such bones are limited in supply, difficult to store, inconsistent in terms of quality and costly to use for repeated training. As such, it is necessary to create an alternative to cadaveric bones that is equally realistic while being more cost effective and easier to obtain. This technology can resolve the limitations of cadaveric bones by offering the formulation and processing method to produce a Fused Deposition Modelling (FDM) system-agnostic bone-like 3D printing filaments for surgical models printing. Printed anatomical bone models developed from this technology will have the look and feel of the real bone. The technology presents an affordable and readily available alternative that minimises the demand for cadaveric bones while still providing realistic training to medical professionals. The technology owner is seeking for collaborations with companies interested to scale-up the manufacture of the filaments and/or licensing of the technology.   The technology offers the formulation and processing method to produce bone-like filaments that allows users to 3D print realistic and relatively lower cost cadaver bone models for use in medical training of surgeons and trainees. These bone-like filaments have the following features: Compatible with all FDM 3D printers Achieves good mechanical properties  (~80% improvement in tensile strength) compared to the commercial bone-like filament. Printed bone models using this technology feel realistic to drill and cut and screws can be tightened nicely, just like real cadaveric bones. This technology is primarily targeted for use in the healthcare industry (hospitals, medical schools, and biomedical companies) to obtain realistic anatomical bone models for surgical training and workshops at a more affordable price compared to cadaveric bones. Surgeons can also create 3D printed bone structures to help them plan surgical procedures before operating on the patient to better understand the procedure. Significantly lowers the cost for realistic medical trainings and workshops as compared to using cadaveric bones Fabricated bone models are equal in quality with actual cadaveric bones cadeveric bones, cadever, cadevers, 3d printing, fdm, medical training, surgery, surgeon, medicine, bone models, additive manufacturing, fused deposition modelling, printed anatomical bone models, surgical models, printing, bone-like Materials, Composites, Manufacturing, Additive Manufacturing, Moulding, Sintering, Casting & Nanoimprinting, Life Sciences, Industrial Biotech Methods & Processes