About National University of Singapore (NUS)
The National University of Singapore (NUS) is Singapore’s flagship university, which offers a global approach to education, research and entrepreneurship, with a focus on Asian perspectives and expertise. We have 15 colleges, faculties and schools across three campuses in Singapore, with more than 40,000 students from 100 countries enriching our vibrant and diverse campus community. We have also established more than 20 NUS Overseas Colleges entrepreneurial hubs around the world.
Our multidisciplinary and real-world approach to education, research and entrepreneurship enables us to work closely with industry, governments and academia to address crucial and complex issues relevant to Asia and the world. Researchers in our faculties, research centres of excellence, corporate labs and more than 30 university-level research institutes focus on themes that include energy; environmental and urban sustainability; treatment and prevention of diseases; active ageing; advanced materials; risk management and resilience of financial systems; Asian studies; and Smart Nation capabilities such as artificial intelligence, data science, operations research and cybersecurity.
For more information on NUS, please visit nus.edu.sg
About NUS Business School
With 50,000 alumni and 60 global chapters, the National University of Singapore (NUS) Business School is known for providing management thought leadership from an Asian perspective, enabling its students and corporate partners to leverage global knowledge and Asian insights.
The school has consistently ranked first in Asia by independent publications and agencies, such as The Financial Times and Quacquarelli Symonds, in recognition of the quality of its programmes, faculty research and graduates.
The school is accredited by AACSB International (Association to Advance Collegiate Schools of Business) and EQUIS (European Quality Improvement System), endorsements that the school has met the highest standards for business education. The school is also a member of the Graduate Management Admission Council (GMAC), Executive MBA Council, Partnership in Management (PIM) and CEMS (Community of European Management Schools).
Established in 2013, the Business Analytics Centre (BAC) is a result of a collaborative effort between NUS and IBM. The Centre is the operational hub for the acclaimed NUS Master of Science in Business Analytics (MSBA) programme which seamlessly blends academic rigor with industrial expertise.
At NUS BAC, the MSBA programme draws on the strengths of both the NUS Business School and NUS Computing, ensuring a curriculum that integrates theoretical knowledge with real-world application. Over the past decade, BAC has built a strong network of over 100 industry partners.
To date, more than 1,000 industrial analytics and operations research projects have been completed by MSBA students in collaboration with leading corporations.
BAC is dedicated to developing future leaders in business analytics, empowering them to drive innovation and create impactful solutions across industries. For more information, visit https://msba.nus.edu.sg/
About Synapxe
Synapxe is the national HealthTech agency inspiring tomorrow’s health. The nexus of HealthTech, we connect people and systems to power a healthier Singapore. Together with partners, we create intelligent technological solutions to improve the health of millions of people every day, everywhere. Reimagine the future of health together with us at www.synapxe.sg
About Infocomm Media Development Authority
The Infocomm Media Development Authority (IMDA) leads Singapore’s digital transformation by developing a vibrant digital economy and an inclusive digital society. As Architects of Singapore’s Digital Future, we foster growth in Infocomm Technology and Media sectors in concert with progressive regulations, harnessing frontier technologies, and developing local talent and digital infrastructure ecosystems to establish Singapore as a digital metropolis.
For more news and information, visit www.imda.gov.sg or follow IMDA on LinkedIn (IMDAsg), Facebook (IMDAsg), and Instagram (@imdasg).
Annex A – Details on top eight projects
1. AAAMedMaster – The GlucoGardener
Team AAAMedMaster's solution is about GlucoGardener, an AI-powered application that connects Type 2 diabetes patients with clinicians through personalised, continuous care support between clinic visits. The platform integrates voice, text, and image inputs to provide nutritional analysis, lifestyle guidance, medication reminders, and emotional support tailored to patients' daily needs.
The solution includes AI-driven food recognition for dietary tracking, a personalised task system with context-aware health prompts, and a two-tier alert mechanism that escalates abnormal readings to caregivers and clinicians when necessary. Clinicians are supported through automated weekly summaries of glucose trends, adherence patterns, and behavioural insights, enabling more proactive intervention and monitoring.
The judges recognised the team's comprehensive multimodal feature set, strong local language support, and holistic approach to patient engagement through personalised care, gamification, and clinician connectivity. The solution stood out for its potential to strengthen continuity of diabetes management outside clinical settings while encouraging more active patient participation in self-care.
Models used: SEA-LION and MERaLiON
2. ASSURE – AssureCare Suite
Team ASSURE's solution is about AssureCare Suite, an AI-enabled home monitoring platform designed to support elderly heart patients during recovery between clinical visits, while providing caregivers with greater visibility into patients' day-to-day health status. The solution combines proactive monitoring, structured alerts, and shared care coordination to enable earlier identification of potential risk signals and more timely intervention.
A key component of the platform is AssureBot, a voice-enabled AI companion that conducts daily check-ins with patients, captures symptom updates and vital readings through natural speech interaction, and provides medication and routine care reminders. This is complemented by a Caregiver Portal, which offers a centralised view of patient status, trend summaries, and escalation alerts to support more coordinated oversight by family members and healthcare providers.
The judges recognised the team's comprehensive approach to supporting home-based cardiac recovery, strong multi-user workflow design, and effective demonstrations from both patient and caregiver perspectives. The solution stood out for its practical use of voice-enabled interaction to improve accessibility for elderly patients and strengthen continuity of care outside clinical settings.
Models used: SEA-LION and MERaLiON
3. Jet2Holiday – SpineAI
Team Jet2Holiday's solution is about an AI-powered visual posture monitoring tool designed to detect sitting positions that may contribute to back pain and musculoskeletal risk in workplace environments. Using a standard webcam, the system applies computer vision techniques to identify key anatomical landmarks on the upper body and calculate biomechanical angles to assess posture quality in real time.
The solution provides continuous posture monitoring through a dashboard that displays risk scores, trend summaries, and personalised recommendations, enabling users to improve sitting behaviour proactively. Built on ergonomic and clinical research standards, the model uses six torso key points to classify posture deviations and trigger alerts when sustained risk patterns are detected.
The judges recognised the team's strong literature-supported methodology, clear domain grounding in posture biomechanics, and practical zero-friction webcam-based monitoring approach. The solution stood out for its structured analytical framework and potential to support preventive workplace health through continuous posture awareness.
Models used: SEA-LION
4. Med-SEAL – Med-SEAL
Team Med-SEAL's solution is about an AI-powered diagnostic support platform designed to streamline clinical workflows by automating preliminary reporting for clinicians while providing patients with clearer, culturally relevant explanations of their medical results. The system integrates multiple specialised AI agents to support medication adherence, lifestyle guidance, risk monitoring, and pre-visit clinical summaries, enabling more proactive and coordinated care between patients and healthcare professionals.
Built on interoperable healthcare standards and multilingual capabilities aligned to the Southeast Asian context, Med-SEAL aims to transform patients from passive recipients of care into active participants in managing their health, while supporting clinicians with timely insights and decision support.
The judges recognised the team's strong technical system design, clear presentation, and effective demonstration of a clinician-supported patient engagement platform. The solution stood out for its comprehensive architecture and potential to enhance existing healthcare workflows through AI-enabled reporting and communication support.
Models used: SEA-LION and MERaLiON
5. NextCare – NextCare
Team NextCare's solution is about a non-contact, AI-powered voice screening tool for at-home cognitive monitoring that enables early detection of cognitive decline through a short 60-second speech recording. The solution applies a dual-engine AI approach that analyses both acoustic speech patterns and linguistic content to identify subtle early changes associated with cognitive impairment.
By enabling accessible, stress-free monitoring outside clinical settings, NextCare supports earlier risk awareness for patients, caregivers, and clinicians while reducing reliance on resource-intensive clinic-based assessments. Designed as a scalable screening tool rather than a diagnostic system, the platform has the potential to support population-level cognitive health monitoring and preventive intervention.
The judges recognised the team's innovative use of non-contact voice-based screening and clear presentation of the solution. The project stood out for its potential to enable earlier detection of cognitive decline through simple, home-based monitoring, although further validation and localisation considerations were noted as areas for future development.
Models used: MERaLiON
6. SHA-2 – RehabCoach
Team SHA-2's solution is about RehabCoach, an AI-powered rehabilitation companion designed to bridge the gap between clinic-based care and home recovery for post-surgery patients. The platform supports patients, clinicians, and caregivers through real-time exercise form analysis, adherence tracking dashboards, and progress alerts that enable more coordinated and effective rehabilitation outside clinical settings.
RehabCoach uses computer vision to monitor exercise performance and detect early signs of fatigue, incorrect movement, or potential re-injury risks, while providing clinicians with visibility into patient recovery trends and caregivers with timely updates to support home-based care. The solution focuses specifically on rehabilitation workflows rather than general remote health monitoring, strengthening its clinical relevance and practical applicability.
The judges recognised the team’s clear clinical focus on rehabilitation, comprehensive multi-stakeholder design, and strong prototype demonstration. The solution stood out for effectively addressing the clinic-to-home recovery gap with a practical and well-integrated approach that supports safer and more consistent rehabilitation outcomes.
Models used: MERaLiON
7. SilverGait – SilverGait
Team SilverGait's solution is about a multi-modal, agentic AI system for longitudinal frailty detection, risk stratification, and personalised intervention for elderly adults in the community. The solution enables earlier identification of frailty through continuous monitoring using computer vision, wearable data, and validated clinical assessment scales.
SilverGait supports both seniors and healthcare professionals by providing structured frailty classification, tracking functional changes over time, and recommending targeted interventions across areas such as exercise, physical education, and sleep. The system integrates established clinical frameworks to ensure medically grounded assessment while improving consistency in screening across care settings.
The judges recognised the team's strong clinical grounding, comprehensive system design, and effective demonstration of a longitudinal approach to frailty detection and intervention. The solution stood out for its practical relevance to ageing populations and its potential to support proactive, community-based preventive care.
Models used: MERaLiON
8. Wait For A Name – VitalSense
Team Wait For A Name's solution is about VitalSense, a privacy-first, browser-based multimodal AI wellness assessment platform that enables users to complete a structured health screening in under five minutes using only a standard webcam, microphone, and self-reported vitals, without requiring a clinic visit.
The platform combines facial expression analysis, motion coordination tests, voice feature analysis, and physiological indicators to generate a structured AI health report that supports early risk awareness across multiple population groups, including seniors, chronic disease patients, working adults, and youth. Designed with on-device processing and anonymised data transmission, the solution emphasises accessibility, scalability, and privacy in remote wellness monitoring.
The judges recognised the team's clear assessment workflow, strong presentation, and comprehensive multimodal approach to rapid health screening. The solution demonstrated the potential to improve access to early health insights outside traditional clinical settings through a fast and accessible screening tool.
Models used: SEA-LION
Annex B – Details about Singapore’s National Multimodal Large Language Models (MERaLiON and SEA-LION)
MERaLiON (Multimodal Empathetic Reasoning and Learning in One Network) is a large language model developed by the A*STAR Institute for Infocomm Research (A*STAR I²R) and supported by IMDA, with regional AI capabilities, including enhanced multilingual processing and emotional intelligence. The model now handles Malay, Tamil, Thai, Bahasa Indonesia, and Vietnamese in addition to English, Mandarin and Singlish, with advanced code-switching abilities and emotion-recognition features.
SEA-LION (Southeast Asian Languages In One Network) is a family of open Large Language Models (LLMs) developed by AISG to better represent Southeast Asia’s diverse contexts, languages, and cultures. Local developers and researchers are able to adopt the model, customise, fine-tune, and innovate, accelerating the deployment of locally relevant AI applications across key sectors. SEA-LION has also expanded its capabilities to include multimodal inputs, supporting both image and text input.
Annex C – Spokesperson’s quotes
Reagan Chan, Team ASSURE’s representative said, “‘With many Singaporean families away from home during the day, there is a growing need for reliable and proactive health monitoring for seniors. Existing solutions on the market are not as connected or responsive to medical needs. Our innovation aims to close this gap with a voice-enabled companion that checks in daily, captures symptoms in multiple dialects, including Singlish, and alerts caregivers before conditions worsen. We hope to prototype this life-changing solution within a year.”
Professor James Pang, Co-Director of the NUS Business Analytics Centre, said, “Chronic disease is one of the most pressing challenges facing Singapore. It has been inspiring to see young innovators respond with solutions that are technically rigorous and genuinely human-centred. We hope this Challenge has given students a window into the meaningful role AI can play in shaping healthier lives for all Singaporeans.”
Alan Goh, Assistant Chief Executive at Synapxe says, “Partnerships like these reflect how cross-sector collaboration can bridge real-world healthcare needs with emerging AI talent, giving students a safe platform to turn their innovative ideas to action. These student-led innovations bring fresh perspectives and bold ideas that could improve lives and the diverse solutions presented at the Finals reflect their immense creativity. Choosing the winners was difficult as each finalist demonstrated strong technical rigor and a clear understanding of patient needs, precisely the kind of patient-centred thinking Synapxe prioritises to ensure technology helps healthcare workers deliver better outcomes for patients.”
Dr Lawrence Wee, Director for Business & Ecosystems, BizTech Group, IMDA, said, "Our students leveraged homegrown AI models, SEA-LION and MERaLiON, that understand local languages and culture to solve real problems, from early detection of cognitive decline, to helping elderly heart patients recover at home. Through the National Multimodal Large Language Model Programme, IMDA is growing a strong ecosystem of industry partners and innovators, translating SEA-LION and MERaLiON into impactful solutions that truly serve Singapore and the region.”
