AI for Health & Biomedical Sciences

Leveraging and advancing digital technologies such as Artificial Intelligence (AI) is essential to address Singapore’s ageing population and healthcare challenges, while improving treatment and patient care. A*STAR’s research institutes, in collaboration with clinical partners and government agencies, are applying AI and data analytics across healthcare and biomedical sciences. This includes AI-driven solutions for disease prediction, diagnosis, personalized medicine, drug discovery, and remote patient monitoring, all aimed at enhancing healthcare outcomes and advancing biomedical research in medicine and drug development.

Key Researchers

  • Dr Sebastian Maurer-Stroh, A*STAR Bioinformatics Institute (BII)
  • Dr Rosa So, A*STAR Institute for Infocomm Research (I2R)
  • , A*STAR Institute for Infocomm Research (I2R)
  • , A*STAR Institute of High Performance Computing (IHPC)
  • , A*STAR Institute of High Performance Computing (IHPC)

Key Projects

AI in Drug Discovery

TISHUMAP: Target Inference from Spatialomics & Histology Using Multimodal AI & Phenotypes

Focusing on cancers (lung, breast, colon, liver, and gastric), chronic kidney disease, and fatty liver disease, TISHUMAP will improve disease classification and patient diagnosis, enabling more precise treatments. Using a trimodal approach powered by multimodal large language models (LLMs), it will build a vast data resource by integrating:

  1. Spatial omics (SO) – Mapping molecular locations within tissues
  2. Tissue imaging – Analyzing microscope images from pathology labs
  3. Clinical data – Applying AI to identify new drug targets

By harnessing multimodal LLMs, TISHUMAP will enhance diagnostic accuracy, uncover new disease biomarkers, and drive the discovery of better treatments.

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AI in Precision Medicine

A*STAR's Genome Institute of òòò½Íø(GIS) is transforming healthcare through AI-driven precision medicine. GIS combines advanced AI algorithms with comprehensive patient data, including genomics, clinical records, and lifestyle factors, to uncover hidden patterns and deliver personalized treatments.

As part of the National Precision Medicine (NPM) Programme, the SG10K_Health project addresses the lack of genetic data specific to Asian populations by creating a large-scale, secure database. This initiative will enable better disease prediction, minimize misdiagnosis, and enhance treatment accuracy, ultimately supporting more effective and tailored healthcare for Asian populations.

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