TECH OFFERS

Automation for advanced manufacturing has reached its limits due to human biological limitations as well as the need for repetitive, standardized workflows. Deep learning AI is necessary to automate dynamic, non-standard workflows so as to enable true autonomous manufacturing. The product owner has developed an AI controller capable of connecting to manufacturing equipment non-intrusively, through low-level hardware interfaces (e.g. VGA, HDMI, USB), without any modifications or software installation to the existing system. Inside the controller is a powerful manufacturing AI agent that emulates both human judgment and behaviour, capable of fully autonomizing all operations as well as forecast equipment health. With incremental learning capabilities, it can generate new insights for equipment as well as process optimization. Factories can also use this product for intelligent remote control and monitoring (RCM) through their command-and-control platform. Unlike other command centers, this platform need not be manned by subject domain experts. Instead, only an engineer is required to ensure all AI agents are online.  The technology solution has been piloted and successfully deployed within notable semiconductor manufacturers. The technology owner is seeking collaboration opportunities with other advanced manufacturing industries, such as aerospace or medical devices, looking to leverage on smarter autonomous manufacturing and OEM equipment manufacturers looking to explore leveraging on AI capabilities into their existing and future equipment for a more competitive edge. This product combines advancements in AI, software, and hardware as illustrated below: AI Agent Vision-Driven Intelligent Process Automation: With a much more advanced version of robotic process automation (RPA), it is capable of interpreting highly complex UI from the equipment to make real-time dynamic decisions. Equipment Health Prediction: The product automatically collects and analyzes all forms of data from the equipment – process logs, UI information, etc. – and provides a health indicator. A decreasing trend in the health indicator or any anomaly is flagged as a potential issue to be investigated. Equipment Parameter Optimization: Some machines require tuning to ensure that it is performing at its most efficient state or can run the process consistent with expectation. The Equipment Parameter Optimization will analyze and determine the most optimum values for these tuning parameters, and with its Vision-Driven Process Automation, the AI agent can automate the tuning process of any machine with these parameter values. Hardware Non-intrusive compact form factor that supports all major equipment types (e.g. Windows, Linux, Unix, DOS, Sun Microsystem) Multiple low-level hardware interfaces connection (e.g. VGA, HDMI, USB, PS/2) for easy plug-and-play Communicates with equipment via numerous industrial protocols (e.g. MODBUS, RJ45, TCP, RS485/232) Software Remote control and monitoring (RCM) GUI no-code programmer to automate simple workflows using RPA The technology solution can be used for any manufacturing processes (e.g. advanced or precision engineering) that benefits from the utilisation of AI capabilities. These applications include: Equipment with Repetitive Workflow: This is for machines that have simple operation function, workflow, or user interface. The operator is expected to perform simple, repetitive tasks such as start process, pause process, select recipe, and clear a fixed set of alarm notifications. These operations can be automated using the AI’s RPA capabilities. Equipment with Dynamic or Recipe-Dependent Workflow: Many machines require operators to carry out actions based on information set in their recipes. In this case, RPA may be inefficient as it requires an automated RPA workflow for each recipe, with a new workflow for each new recipe created. This technology is able to automate any complex workflow processes into a RPA with dynamic logic. Equipment using Vision Processes (e.g. lithography, visual defect detection): Using the AI’s smart vision capability, it enables autonomous intervention or further automation to improve the vision process by analysing the deployed vision sensors to improve accuracy and optimise parameters which previously require manual intervention. Equipment that Requires Tuning: Some machines require constant/routine tuning as part of the preventive maintenance or for recipe creation/optimisation. The tuning process require high level of technical expertise and experience to analyse current performance and to tune accordingly. The AI is able to shorten the tuning downtime while eliminating inconsistencies, resulting in an improved and consistent autonomous tuning process. The further need for improving productivity and development of AI functionalities enable industrial automation to take a further step. More advanced AI models can now enable further emulation of human judgement and processes on the production floor, shifting from repetitive industrial automation to true autonomy. With more complex and faster workflow requiring immediate responses, there is industrial shift from slower cloud computing to faster edge computing execution. Lastly, legacy equipment currently deployed can now leverage on AI functionalities to further enhance operational efficiency, resulting in an improvement in Overall Equipment Effectiveness (OEE). The technology solution achieves true autonomy in dynamic workflows with any equipment through simple plug-and-play form factor, using advanced computer vision, insight generation and deep learning. This eliminates the need for expert human judgement and technical expertise required to operate and manage. The non-intrusive hardware uses low-level interfaces for connectivity, avoiding the need for long and complex downtime for equipment modification and software installation. With edge computing and easy integration to downstream and upstream processes, the AI agent is able to coordinate across workflows, optimising operations to occur seamlessly without expert monitoring. Lastly, it provides reliable machine performance insights based on current operational data, focusing on proactive and positive maintenance strategies rather than historical failures. Autonomous Manufacturing, Robotic Process Automation, RPA, Intelligent Process Automation, Remote Control and Monitoring, Process Automation, AI, RCM Infocomm, Artificial Intelligence, Manufacturing, Assembly, Automation & Robotics, Robotics & Automation, Smart Cities

AI has the potential to significantly enhance diagnostic efficiency, allowing healthcare providers to quickly analyze medical images (e.g., X-Ray, MRI, CT, PET) and generate preliminary diagnostics for further review. This is achieved through a comprehensive workflow that involves: 1. Leveraging the deep expertise of medical professionals to accurately annotate medical images, creating a robust training dataset for the AI model. 2. Training computer vision models based on these datasets to achieve target performance levels. 3. Continuously refining these models over time through the incorporation of new data. Traditionally, this process demands a team of engineers to set up and maintain multiple tools, making it resource-intensive and costly. The technology offered here is a no-code, end-to-end platform that revolutionizes this process by enabling healthcare professionals to directly contribute their expertise through an AI-assisted image labeling tool. This tool allows technical teams to collaboratively and efficiently label large datasets with pixel-level accuracy. Model training and fine-tuning can then be managed by a single individual, significantly reducing the time from concept to deployment - from months to weeks - while also cutting costs associated with hiring specialized machine learning engineers. The technology owner has worked with universities, hospitals, and MedTech start-ups to develop unique computer vision solutions in the healthcare space. The technology owner is seeking collaborations with healthcare organizations aiming to harness computer vision to enhance operational efficiency and quality of care. Alongside the platform, professional services are available to support development, customize necessary integrations, and ensure the success of client projects. This platform includes the following key features: Labeling Tools for Medical Scans - Supports 2D and 3D scans (e.g., NifTi, DICOM, MPR) - AI-assisted labeling for masks, keypoints, or volume - Collaborative working environment enabling labeling tasks to be distributed, with gates for management review and tie-breaking scenarios for data that are harder to assess - Importable / exportable major annotation formats, including COCO JSON, LabelMe, PascalVOC, COCO MASK, and CSV Width-Height AI-Assisted Labeling  Medical datasets are often large and complex. The AI-assisted labeling feature uses advanced contour analysis methods and deep learning to enable precise labeling with minimal user input. Users simply need to identify areas of interest / not of interest, and the platform will automatically generate accurate masks around the targeted regions. General Specifications - HIPPA and SOC II compliant, with ability to deploy on-premise to protect data security - "One-Click Train" for immediate model training leveraging 50+ foundational models - Audit trails to facilitate approvals for medical AI - documenting characteristics like data sets, model parameters, and model performance This platform addresses one of the major challenges faced by researchers, machine learning engineers, and data scientists in healthcare: the tedious and time-consuming task of data labeling. With this automated segmentation algorithms, teams have successfully labeled thousands of medical images in a fraction of the time typically required. Computational Pathology and Medical Imaging Applications: - Disease Detection and Identification (e.g., Tumor Lesions, Fractures, Foreign Objects) from X-Ray, MRI, and other medical imaging technologies - Anomaly Detection in Blood Cell Scans and Pathology Scans This platform enables healthcare teams to label data significantly faster, utilizing an AI-enabled segmentation tool that requires only a few clicks to create pixel-perfect masks. The tool can be used collaboratively, to divide up the workload between medical professionals, with built-in gates for management review. Given the high level of expertise required for medical data labeling, this platform allows professionals such as doctors and researchers to perform this task up to ten times faster. Additional benefits include a minimal learning curve, as the platform does not require mastery of many different tools. Moreover, it supports an end-to-end workflow, allowing teams to quickly transition from labeled images to trained deep-learning models (e.g., FasterRCNN, MaskRCNN, DeepLabV3, YOLO). The platform also supports the generation of labeled files compatible with multiple popular frameworks, streamlining the process of building and deploying powerful AI models in healthcare. Most importantly, all project IP is owned by the client. This allows MedTech companies to protect their core business. For healthcare systems looking to do in-house development, this fundamentally changes the current economics of AI in healthcare. Instead of pay per use, where costs scale with increased usage, the costs are concentrated into development and use of the AI can scale while costs remain relatively flat. AI-Assisted Image Labeling, Medical Images, Computational Pathology, Computer Vision Infocomm, Video/Image Analysis & Computer Vision, Big Data, Data Analytics, Data Mining & Data Visualisation, Healthcare, Telehealth, Medical Software & Imaging, Healthcare ICT

This technology is a neurointerventional procedure, focusing on transradial access for acute ischemic and hemorrhagic stroke treatment. Traditionally, neurointerventions utilize transfemoral access, but this solution leverages the radial artery for access, providing a safer and more comfortable alternative. By reducing complications and shortening recovery times, the transradial approach significantly enhances patient experience.  The transradial access system comprises three components: a radial access sheath, a selective catheter, and a guiding catheter. Each component is designed to work in harmony, ensuring the system’s compatibility and optimal performance. The radial sheath maintains high structural integrity while reducing radial artery spasm and occlusion. The selective catheter offers multiple proprietary tip shapes for improved access to neuro arteries. The guiding catheter combines distal flexibility and proximal stiffness to ensure smooth catheter pushability and trackability, providing surgeons with an efficient and seamless experience. The trans-radial access catheters for neurosurgery are developed for Asian population whom have narrow arteries.  The technology owner is interested in joint R&D projects to co-develop the technology. The neuro transradial access system comprises three core technologies: the radial access sheath, the selective catheter, and the guiding catheter. Radial Access Sheath: Designed with an optimal balance of flexibility and strength to enable precise navigation through the radial artery. Features a low-profile, thin-walled design to minimize radial artery spasm and ensure patient comfort. Coated with a hydrophilic layer to reduce friction, facilitating smoother sheath insertion and advancement. Selective Catheter: Equipped with a proprietary tip shape that enhances access to critical arteries, including the right/left ICA, ECA, and VA. Incorporates a U-shape stiffness for superior anchorage, preventing slippage during procedures and ensuring stability post-subclavian artery access. Guiding Catheter: Optimal balance of distal flexibility and proximal stiffness. Features a multi-layer design: a polymeric outer layer for flexibility, metallic coils and braids in the mid-layer for added structural support, and a high-wear resistance inner layer to ensure smooth catheter movement within the vasculature. Enables superior pushability and trackability during neurointerventions. This technology is designed for use in neurointervention procedures, with potential applications in the following areas: Aspiration Catheter Microcatheter Intermediate Catheter Distal Delivery Catheter This technology offers several advantages over conventional solutions in the neurointerventional space: Shorter Recovery Time: The design of this system reduces procedural complications and promotes faster recovery times, allowing patients to return to their normal activities sooner. Tailored for the Asian Population: The Trans-Radial Access Catheters are specifically designed for the Asian population, accommodating narrower arteries and ensuring safer and more effective neurointerventional access. Complete Neuro Transradial System: A fully integrated system that provides seamless access from the radial artery to the neurovasculature, minimizing procedural complications. Optimized Radial Sheath: Engineered to reduce radial artery spasm and occlusion, improving patient outcomes and comfort. Selective Catheter with Anchoring Mechanism: The catheter’s design prevents slippage during procedures, enhancing stability and precision during treatments. Guiding Catheter Designed for Optimal Pushability and Trackability: this catheter ensures smooth navigation through the vasculature, improving the overall user experience for surgeons. Medical Device, Neurointerventional, Catheters, Transradial Access, Radial Access Sheath, Selective Catheter, Radial Guide Catheter Healthcare, Medical Devices

Fungal-like Adhesive Materials (FLAM) represent an innovative family of materials inspired by the cell walls of fungus-like oomycetes. FLAMs are engineered by organizing the two most abundant and widely available natural molecules in their native configuration, resulting in a material that is lightweight, durable, and highly cost-effective. This groundbreaking composite is fully biodegradable, eliminating the need for organic solvents or synthetic materials, making it an eco-friendly alternative. FLAM can be locally produced as part of natural ecological cycles, contributing to sustainable manufacturing and ensuring long-term resource security for industries. In addition to its sustainability benefits, FLAM’s versatility allows it to be easily molded or processed with traditional manufacturing techniques, opening the door to a wide range of applications across various industries. This technology has been locally produced in Singapore as a by-product of waste management. The technology owner is looking for collaboration in test-bedding. FLAM can replace the use of plastic and wood in many applications.  Good strength-to-weight ratio: Inspired by the cell walls of fungus-like oomycetes by combining cellulose and chitin to give a lightweight and strong material. Biodegradable: Fully biodegradable composite with no synthetic additives. Non-toxic: Adding small amounts of a chitinous molecules enables the use of cellulose without any chemical modification and without the use of harmful solvents.  Easy processing: Compability with wood-working machinery and traditional manufacturing methods. FLAM can replace the use of wood in most applications, such as but not limited to: Furniture Architectural components  General and food packaging  Daily household items Large industrial parts: e.g. windmill blades, impact resistors Eco-friendly: Non-toxic, biodegradable material. Lightweight and strong: Able to replace wood and plastic material in most applications. Cost effective: Comparable to high density polyurethane foam. sustainable material, sustainable, biomaterial, FLAM, eco-friendly, biodegradable Materials, Bio Materials, Sustainability, Low Carbon Economy

The rapid growth of the Internet of Things (IoT), 5G, and Artificial Intelligence (AI) is driving the miniaturization, integration, and diversification of electronic devices. Till date the fabrication of electronics parts is largely based on traditional methods which does not lead themselves well to the construction of 3D electronic structures. Printed electronics are largely based on non-functional printing technologies which are optimised for 2D printing. Despite the potential, current 3D printing technologies face challenges in material compatibility, resolution, and complexity, making it difficult to create intricate, multi-material electronic devices. A novel approach using selective metal deposition (electroless deposition) combined with projection micro-stereolithography (PµSL) 3D printing offers a solution to address many of the challenges faced. This technology allows the creation of complex metal-plastic hybrid microstructures, potentially extending to other material combinations such as ceramic-metal, glass-metal, and semiconductor-metal hybrids, advancing the capabilities of 3D printed electronics. Besides, the 3D fabrication technique, the other core aspect of the solution included the know-how to formulate the special precursor materials that will allow metallic portions to be printed in-situ. These will combine to form hybrid structures that are functional thereby making it possible to create functional 3D parts. The technology owner is seeking partners with complex applications that involved functional 3D parts to co-create and develop the new applications with them using this technology.     The technology platform features an innovative approach for creating micro-hybrid devices through multiphase and multi-material integration. The core of the additive manufacturing technique involved the combination of UV light-based projection micro-stereolithography (PµSL) combined with electroless deposition method. It employs active precursor materials, specifically an active polymer that induces selective metal deposition, acting as a bridge between plastic and metal. Key technical features include: Multiphase and Multi-Material Integration: Enables the fabrication of devices with diverse material properties (e.g., conductive, insulating, and structural) in a single manufacturing process. High-Resolution Accuracy: Achieves micron-level precision, essential for producing complex, next-generation electronic components. Multifunctional Material Compatibility: Supports a wide range of materials, including conductive metals, ceramics, and advanced polymers, allowing for the creation of multifunctional devices. Enhanced Design Flexibility: Overcomes traditional manufacturing limitations, enabling the creation of complex geometries and hybrid material designs tailored for specific electronic functions. Scalability and Customization: Facilitates rapid prototyping, scalable production, and customized solutions, particularly for niche applications. Largest work piece: 100mm x 100mm x 100mm Smallest resolution: 2.5um Its potential applications include but are not limited to: Electronics Manufacturing 3D Electronics Intelligent Manufacturing for Robotics Medical Devices Semiconductor Manufacturing Automotive Energy Storage & Management Internet of Things (IoT) Devices Fast Fashion Jewellery & Accessories The technology can revolutionize the production of electronic devices by seamlessly integrating metals and plastics into complex, high-resolution microstructures. This process combines multi-material 3D printing with in-situ metal deposition to provide unrivalled design flexibility, precision and efficiency. By overcoming traditional manufacturing constraints, this technology delivers highly customizable, functional components that can set a new benchmark in the production of advanced electronics. Multi-material 3D Printing, Selective Metallization, Microstructures, Hybrids, Electronic Devices, Sensors, 3D Printed Jewellery Materials, Semiconductors, Plastics & Elastomers, Metals & Alloys, Manufacturing, Additive Manufacturing

The rise of digitalization of infrastructures via digital twins and increased industrial automation, there is an increased need for better prepared for cyber and physical attacks. The digitalization trends also underscore the increased threat of cyber or physical (“cyber-physical”) attacks that can now easily crimple critical infrastructures if unprepared. The technology owner leverages on the use of a digital twin and mock-up infrastructure to develop a technology solution that is able to mimic and simulate the behaviors of a physical infrastructure under cyber-physical attack. The realistic simulation and have been developed with a focus on large-scale cyber exercises such as Locked Shields (a cyber defense exercise by NATO CCDCOE) in mind. The digital platform enables users to understand and evaluate potential weakness of existing infrastructure via simulated cyber-physical attacks on operational technology (OT) to improve operation resilience. The digital platform is not dependent on the mock-up infrastructure and can be customized for specific simulations. The technology owner has successfully emulated a cyber twin of a Secure Water Treatment System (SWaT) with a physical testbed system for a testbed to launch and study cyber-physical attacks in a realistic water treatment plant. The technology owner is seeking collaboration partners who wish to accelerate understanding and build resilience from potential cyber-physical attack via simulations of critical infrastructures. The technology solution of Secure Water Treatment System (SWaT), comprising of the mock-up IT/OT infrastructure and digital twin, includes the following functionalities: Emulation of IT and OT network for a realistic 6-stage water treatment plant with the following stages: Raw water inlet Chemical dosing Ultrafiltration UV dichlorination Reverse Osmosis Backwash Customizable learning management platform for specific cyber-physical attack simulations Launch attacks for both OT and IT attacks with integrated IT/OT anomaly detector Conduct simulated and live-firing exercises using a configurable classroom orchestrator software within a physical, remote, or hybrid setting (with remote monitoring of participants) Ability to enhance learning using AR/VR emerging technology This technology solution of simulating cyber-physical attacks can be used for enhancing cyber resilience in critical infrastructure such as: Energy and Utilities: Power plants, electrical grids, water treatment facilities, renewable energy systems. Oil and Gas: Drilling operations, refining processes, pipeline monitoring, distribution networks. Transportation and Logistics: Automated control systems for railways, ports, warehouses, and supply chain management. Chemical Processing: Reaction monitoring, safety systems, quality control in chemical production. Manufacturing: Production lines, assembly processes, quality control systems. The technology solution provides the capability to accelerate understanding of cyber-physical attacks by supporting live-firing cyber simulations at the scale of Locked Shields (from NATO CCDCOE). The solution platform enables customisable digital twin of infrastructures with a configurable management software to facilitate multi-modal learning. Due to the integrated IT and OT anomaly detector, specific IT or OT attack launcher can be provide simulate realistic scenarios to improve operational resilience. Infocomm, Computer Simulation & Modeling, Educational Technology

The trend for embracing industrial digitalisation and automation is increasing due to enhancement in productivity and operational efficiency it brings. However, as industries increasingly rely on more interconnected systems, the potential risks associated with cyber-attacks and system anomalies have grown significantly. With no method to monitor, verify and neutralise these digital attacks, this makes them more vulnerable which can potentially cripple their critical infrastructures. The technology owner has developed a technology solution that leverages on advanced AI-driven technology to provide a robust defence mechanism, ensuring seamless and secure interactions between Information Technology (IT) and Operational Technology (OT) layers. Through the use of their proprietary AI algorithm, it is able to detect and neutralise anomalous network packets with the ability to incrementally learn in real-time. This not only results in preventing potential damage to critical industrial systems but also ensures continuity in production processes, thereby avoiding costly downtime and maintaining productivity. This technology solution helps businesses meet stringent cybersecurity compliance requirements, providing long-term cost-saving and peace of mind. The technology owner is currently undergoing pilot tests for critical water infrastructures, locally and overseas, by integrating this technology solution to existing industrial IT-OT control system. The technology owner is seeking industrial partners who are either open to explore integration into their critical infrastructure enhance their IT-OT cybersecurity or open to explore licensing opportunities. The technology solution to detect and neutralise anomalous network packets have the following capabilities: Real-Time Network Packet Decoding: Decodes network packets as they traverse the IT-OT layers, including PLCs, workstations, SCADA systems, and HMIs, ensuring that only legitimate data reaches its destination. AI-Driven Anomaly Detection: Utilizes advanced artificial intelligence to continuously monitor and analyze network packets flowing through IT-OT interaction layers, identifying any anomalies in real-time. Threat Detection and Intention Extraction: Detects potential cyber threats and extracts the attacker's intent from the anomalous packets, providing critical insights into the nature of the attack. Automated Threat Response: Automatically reports detected threats to plant management and discards malicious packets, preventing them from causing operational disruptions or pushing the plant into an anomalous state. Seamless Integration: Designed for easy integration into existing IT-OT infrastructures, the solution ensures minimal disruption during deployment and compatibility with a wide range of industrial systems. High Reliability and Precision: Offers high accuracy in anomaly detection with minimal false positives, ensuring that the critical infrastructure operates smoothly without unnecessary interruptions. Scalable Architecture: The solution can be scaled to fit different industrial environments, from small facilities to large, complex operations, ensuring robust security across various scales of deployment. The technology solution’s AI-driven anomaly detection and real-time monitoring capabilities make it an essential solution for safeguarding the interaction layers between IT and OT systems. Its ability to detect and neutralize threats before they impact industrial operations ensures the continued security and efficiency of critical infrastructure. This technology is particularly valuable in environments where seamless IT-OT integration and protection against cyber threats are crucial. The applications of the IT-OT Bridge include, but are not limited to: Energy and Utilities: Power plants, electrical grids, water treatment facilities, renewable energy systems. Oil and Gas: Drilling operations, refining processes, pipeline monitoring, distribution networks. Transportation and Logistics: Automated control systems for railways, ports, warehouses, and supply chain management. Chemical Processing: Reaction monitoring, safety systems, quality control in chemical production. Manufacturing: Production lines, assembly processes, quality control systems. The technology solution’s AI-driven ability to proactively detect and neutralise anomalous network packets before they can cause harm in real-time helps enhance the cybersecurity of IT-OT communication within any critical infrastructures. The proprietary AI algorithm enables incremental learning to further improve its high accuracy and precision with minimal false positives. With its seamless integration and scalable architecture, the deployment time required is reduced and can be scaled to fit various industrial environment, ensuring a reliable protection against potential cyber threat and ensuring the continuity and safety of any essential industrial operations. Infocomm, Security & Privacy, Networks & Communications, Artificial Intelligence

Singapore is ranked second highest among developed countries for incidence of diabetes. Previously, glucose monitoring is performed through a needle prick test or capillary blood glucose test. Compared with blood testing, sweat testing offers the advantages of non-invasiveness, portability, and persistence. Analysis and detection of biomarkers in sweat can assist in the prevention, diagnosis, and especially monitoring of chronic diseases.  Wearable devices have been extensively explored in the last decade owing to their lightweight, bendability, stretchability, and ease of integration with human interfaces. Optical wearables are also known for their potential capability to perform remote sensing and detection of multi-parameters at the same time. Despite the rapid advancement in wearable optical sensors, one of the greatest challenges is the capability of multiplexed detection or multifunctionality on a single device. To overcome this limitation, micro-lasers offer unique advantages in terms of signal amplification and narrow linewidth. Strong light interactions between optical microcavities and biomolecules would therefore lead to distinctive lasing signals for sensing. However, there are no laser emitting based device which have been invented for physiological and clinical sensing applications on human before. This technology has developed the first laser emitting bandage for multiplexed detection through a non-invasive wearable laser device. The smart bandage can quickly detect metabolites in 2 minutes through sweat secreted on human skin. The technology owner is seeking collaborations with medical institutions to extend this technology to patients health monitoring or daily monitoring. This new technology is formed by embedding tiny laser sensors in a hydrogel patch. The bandage uses laser light emitted from the bandage to identify tiny fluctuations of glucose level in sweat and can offer a record low Limit of Detection (LOD). In addition, the device can detect multiple metabolites at the same time to help monitor health conditions more precisely. To obtain an active microlaser with biochemical sensing functions, a wearable thin film laser is developed by encapsulating cholesteric liquid crystal (CLC) droplets in a flexible hydrogel thin film. Each single CLC microdroplet serves as a WGM microresonator. The three-dimensional cross-linked hydrophilic polymer serves as the adhesive layer to allow small molecules to penetrate from human tissue to the surface of droplet laser resonators. Due to the high-quality factor of the whispering gallery mode (WGM) resonator, subtle changes in the liquid crystal droplets will be amplified, resulting in a wavelength shift in the laser emission spectra, which can then be applied for sensing and monitoring metabolite. Using a laser emitting technology, the flexible bandage is able to perform multianalyte sensing and detection of metabolites.  The market potential is substantial, with hundreds of millions of patients requiring daily glucose monitoring. Additionally, the device can be adapted to track multiple metabolites, further broadening its market scope. There are two primary factors that contribute to the appeal of this device. Firstly, it enables monitoring through sweat, eliminating the need for blood samples. Secondly, the technology is both cost-effective and affordable. Previous studies have investigated the possibility of using surface-enhanced Raman scattering, photonic crystals-based structural color, and polarized microscope for sweat sensing. This technology offers several advantages:  1. This device fulfils the required dynamic range, envisioned to be applied to daily health monitoring for low-cost and disposable usage. 2. This device is able to detect any desired target metabolites by simply modifying the CLC microdroplets. By embedding modified CLC microdroplets within a PAAm hydrogel film, both flexibility and physiological sensing capabilities on human skin was achieved, including lactate, glucose, and urea. The testing results has successfully attained remarkable levels of sensitivity and minimal limits of lactate, glucose, and urea detection. 3. This platform is very versatile. By altering the components of the droplets or the hydrogel substrate itself, the structure of microdroplets in the hydrogel film can be adjusted to any lasing wavelengths. Glucose Sensor, Micro Laser, Liquid Crystal, Hydrogel Materials, Nano Materials, Electronics, Lasers, Optics & Photonics, Healthcare, Diagnostics, Medical Devices

Water plays a vital role in various biological and industrial processes, but its effectiveness can be enhanced by modifying its molecular structure. This Ultra-Low Frequency (ULF) platform technology leverages ULF electromagnetic waves to alter the properties of water, aiming to improve its performance in specific applications. By applying low-frequency electromagnetic fields, this technology has been observed to affect water's oxidation-reduction potential (ORP), potentially increasing its antioxidative properties. Empirical data suggests that ULF-treated water may enhance cellular hydration and support metabolic functions in biological system. The technology’s ability to alter water at the molecular level offers potential benefits for agriculture, health and wellness, and food and beverage (F&B) processing. The technology owner is seeking potential collaborators: Companies or individuals, interested in integrating this breakthrough technology into their products or exploring new applications across industries such as agriculture, health and wellness, and the F&B sector. Companies or individuals who are looking to acquire the intellectual property (IP). The IP can be specifically carved out for various applications, allowing flexibility and tailored use across different sectors. ULF Electromagnetic Wave Application: The technology uses ULF electromagnetic waves to alter the properties of water by using time varying frequencies and a combination of pulsating AC wave currents along with a DC component of the generated field. Antioxidant Enhancement: By reducing the ORP of water, the technology boosts its antioxidative properties without the need for additional chemicals or additives. Importantly, this process does not make the water more alkaline. No Consumables Required: The device operates without the need for filters, chemicals, or other consumables, allowing for continuous, long-term use with minimal maintenance. The ULF electromagnetic wave technology demonstrates versatile potential across various sectors, with empirical evidence suggesting its applicability in areas such as health and wellness, agriculture, F&B, and industrial water treatment. It has the potential to  Health and Wellness: Antioxidative Benefits: The reduced ORP may enhance water's ability to neutralize free radicals, supporting general health in consumers. Metablic Support: The technology has the potential to enhance molecular energy dynamics to promote improved cellular health and overall metabolic function in the body.  Agriculture: Improved Plant Hydration and Growth: The enhanced capillary action of ULF-treated water allows for more efficient absorption and nutrient delivery in plants. This can optimize crop yield, making it useful for irrigation in agriculture. The improved water absorption can result in healthier plants, faster growth, and better nutrient uptake. Food and Beverage Industry: Extended Shelf Life: The technology can be applied to extend the shelf life of beverages, such as juices, by maintaining their freshness and reducing the need for preservatives. This reduces waste and ensures better product quality over time. Improved Taste and Texture: ULF treatment can reduce bitterness, astringency, and harsh flavors in beverages like coffee, tea, juices, and spirits, enhancing the overall taste profile and consumer experience. It also accelerates the aging process in wines and liquors, producing smoother and more palatable beverages in less time. Cosmetics and Skincare: Antioxidant-Rich Water: The water’s enhanced antioxidative properties could be integrated into cosmetic products and skincare formulations, potentially improving the effectiveness of hydration-based products and promoting healthier skin by neutralizing oxidative stress. Chemical-Free Enhancement: This technology utilizes a pure physical treatment to boost the water’s properties. Additionally, it enhances the taste and extends the shelf life of beverages without any added chemicals. Sustainable and Long-Term Use: No filters or consumables are required for the long-term application of the technology, ensuring a sustainable and hassle-free solution. Electronics, Health and Wellness, Food and beverages, Water, Personal Care, Agriculture, Antioxidant Personal Care, Wellness & Spa, Nutrition & Health Supplements, Manufacturing, Chemical Processes, Foods, Processes