Lab profile
About C-AIM
C-AIM is dedicated to transforming patient care and shaping public health policies through cutting-edge Artificial Intelligence technologies. The centre focuses on bridging the gap between innovative AI technologies and their practical applications in medicine, prioritizing four clinical domains: mental health, elderly frailty, medical imaging, and cancer screening, supported by research themes in clinical outcomes studies, human-AI interaction, education and training, and governance and implementation studies.
01 · Research focus
Research areas and highlights
Topics and recent work as stated on the lab’s own site.
- IMH-NTU study identifies blood-based markers that may help predict development of psychosis in at-risk Asian youthsStudy on blood-based markers for predicting psychosis development in at-risk Asian youths.
- Batch-sensitized preprocessing of data to preserve genuine biological signs in analysis of multi-omics medical dataResearch on preprocessing methods for multi-omics medical data analysis.
- Moving from symptom-based diagnosis to AI-driven precision psychiatry, integrating multi-omics data for mental health diagnosis and prognosisResearch on AI-driven precision psychiatry using multi-omics data.
- Digital Technology and Clinical Evidence (DTCE) in Future Healthcare for ElderlyResearch on digital technology and clinical evidence for elderly healthcare.
- Advancing Precision Medicine: Leveraging Genomic and Aging Biomarkers for Enhanced Cancer Risk PredictionResearch on genomic and aging biomarkers for cancer risk prediction.
- ELectronic PHenotyping to Enhance Patient Access to Precision Medicine (ELPHA)Research on electronic phenotyping for precision medicine access.
02 · People
Leadership and researchers
People listed on the lab’s team pages, by role.
03 · Research intelligence
Research Intelligence evidence
Publications, grants and clinical trials linked to the lab’s researchers in Health AI Central’s research data.
Publications & preprints
- Large-scale integration of functional assay data for the resolution of germline BRCA1 and BRCA2 variants of uncertain significance.American journal of human genetics · 2026
- AAC-TTA: Anti-adversarial consistency with test-time adaptation for imbalanced histopathology classification under scanner-induced domain shift.Computers in biology and medicine · 2026
- The 2025 Westlake Autumn Symposium for AI Proteomics and Virtual Cell.Genomics, proteomics & bioinformatics · 2026
04 · Updates
Updates and lab news
News and events from the lab’s own site.
- The Centre of AI in Medicine (C-AIM) at NTU is expanding.AnnouncementJul 23, 2026
- IMH-NTU study identifies blood-based markers that may help predict development of psychosis in at-risk Asian youthsNewsMay 20, 2026 · ntu.edu.sg
- Workshop with Renmin Hospital, 27 April 2026EventApr 27, 2026
- Building Closed-Loop LLM Systems for Scalable Mental Health Support on 4 March 2026: SeminarEventMar 6, 2026 · ntu.edu.sg
- Roundtable on Privacy and Responsible AI in Mental Health on 23 February 2026EventMar 4, 2026 · ntu.edu.sg
- AIFE 2025 - Educating for an Intelligent Future, Opening Keynote by Prof Joseph Sung, Director - C-AIM held on 18-20 Nov 2025EventNov 21, 2025 · ntu.edu.sg
- Responsible AI Roundtable on 1 Sep 2025EventSep 2, 2025 · ntu.edu.sg
- C-AIM 2025 Workshop on Mental HealthEventMar 26, 2025
05 · Official presence
Lab sources and channels
The lab’s own pages and accounts.
06 · Related
Related labs and centers
Labs at the same institution and labs working on similar topics.