NUS, Synapxe and IMDA target chronic diseases affecting 1.8 million Singaporeans in AI Challenge


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Artificial intelligence (AI) has demonstrated tremendous potential in addressing some of the most complex challenges faced by societies across industries. In healthcare, AI is already being applied to detect, prevent and manage chronic diseases more effectively.

The NUS–SYNAPXE–IMDA AI Innovation Challenge 2026 will be focusing on healthcare to address a pressing national challenge as recent data indicates that diabetes, hypertension, and high lipid levels now affect approximately 1.8 million people, with many unaware of their condition.

Organised by the National University of Singapore (NUS) Business Analytics Centre, national healthtech agency Synapxe, and the Infocomm Media Development Authority (IMDA), the latest edition of the annual competition aims to harness data-driven innovation to prevent complications and reduce avoidable hospitalisations. 

Reflecting the theme, “Empower Patients, Enable Community, Elevate Healthcare,” students will be challenged to build AI-powered solutions that:

  • Identify at-risk individuals before symptoms appear;
  • Support timely screening and diagnosis;
  • Enable continuous remote monitoring for chronic conditions, and;
  • Empower patients to manage their health effectively from the comfort of their home.


This is the 10th edition of the AI Innovation Challenge since it began in 2016. Initially open to NUS students, the annual Challenge was expanded in 2023 to include polytechnic students and participants from other universities. This year marks another milestone with junior college students coming on board, reflecting their growing engagement with computing, data analytics, and AI through school programmes and extracurricular activities. Their participation encourages early interest in these fields, fosters collaboration and knowledge sharing across institutions, and helps build a sustainable talent pipeline for Singapore’s growing AI ecosystem.

To ensure that their solutions are both practical and relevant, students are encouraged to use the MERaLiON and SEA-LION Large Language Models (LLMs) (see Annex A for details). These two LLMs, developed under the National Multimodal Large Language Model Programme (NMLP) supported by IMDA and the National Research Foundation (NRF), are designed to handle the complex language-switching communication styles and cultural nuances common in local settings. These models reflect Singapore’s and Southeast Asia’s diverse cultures, languages, and values. By understanding local languages and context, they can enable AI‑powered healthcare solutions that are not only linguistically accurate but also empathetic and culturally sensitive. This supports the development of more personalised, inclusive, and accessible healthcare in Singapore.

One student team in the final round of this year’s AI Innovation Challenge that demonstrates the most effective and innovative use of the SEA-LION and MERaLiON models will receive the NMLP Special Award and a cash prize of $5,000. 

Professor James Pang, Co-Director of the NUS Business Analytics Centre, said, “The aim for this year's AI Innovation Challenge is to mobilise the next generation of talent to think about critical healthcare challenges and design solutions that harness cutting-edge AI capabilities. Together with Synapxe and IMDA, we want to imbue young innovators with a strong interest in the healthcare sector. Ultimately, we envision solutions that will bring measurable health outcomes and improved quality of life for all Singaporeans.”

Andy Ta, Director of Data aNalytics and AI, and Chief Data Officer at Synapxe says, “As a learning organisation, Synapxe strongly believes in supporting young innovators on their learning journey with the knowledge and skillsets to harness emerging technologies like AI, while incorporating safety, responsibility and trust at every step. By presenting real-world challenges, we aim to spark fresh ideas and help nurture the next generation of healthtech leaders.”

Dr Lawrence Wee, Director for Business & Ecosystems, BizTech Group, IMDA, said, "At IMDA, we are harnessing emerging technologies to benefit Singapore and Singaporeans. Our National Multimodal Large Language Model Programme (NMLP) has produced SEA-LION and MERaLiON – two AI models built with multilingualism and cultural nuance at their core, ready to serve across sectors. In healthcare, for instance, these models can help to bridge the language gap between elderly patients and healthcare professionals, enabling more empathetic, inclusive, and tech-enabled care. Through the NMLP Special Award, we hope to catalyse the use of MERaLiON and SEA-LION by having students use these models to develop practical solutions for our community.”

Registration for the challenge closes on 15 February 2026 at 12 noon. Interested students can visit https://www.sg-innovationchallenge.org/ for details.

 
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 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.
 

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