Can AI Revolutionise Cancer Care in Malaysia?
A conversation with Prof. Dr. Sarinder Kaur of Universiti Malaya on moving beyond sophisticated algorithms towards AI that genuinely improves patient outcomes.
Professor, Faculty of Science, Universiti Malaya · Founder of Sarinder Labs
A pioneering figure in Malaysian bioinformatics, Prof. Sarinder leads multidisciplinary teams across Universiti Malaya's Faculties of Science, Medicine, Computer Science and Law, working with the Ministry of Health to build Malaysia's national cancer data infrastructure. Her lab works where artificial intelligence, clinical medicine and biodiversity science meet, building systems hospitals actually use.
AI for Medicine Research Grant Scheme 2025
Malaysia's first interoperable cancer data platform bringing together clinical records, imaging, pathology, genomics and outcomes, aligned with FHIR and OMOP and built with the Ministry of Health.
Universiti Malaya · 2020 to present
Automated data science pipelines that turn narrative radiology and pathology reports into structured, usable clinical data.
Sarinder Labs · 2025 to present
Clinical retinal screening that detects diabetic retinopathy, glaucoma and hypertensive retinopathy from standard fundus images.
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Sarinder K. Dhillon and Amandeep S. Sidhu
Springer · 2013 · Studies in Computational Intelligence, volume 485
A research monograph on connecting distributed biodiversity databases while allowing their owners to retain control over the information they share. It introduces the data integration foundations behind this strand of her research.
Explore at the publisherHow close are we to AI that meaningfully improves early detection, clinical prediction and personalised treatment? Where is the strongest evidence today?
How can Malaysia overcome fragmented healthcare data and integrate clinical records, radiology, pathology and genomics into intelligent, connected cancer care?
Why do promising medical AI innovations struggle to reach everyday practice, and what must change to deliver measurable improvements in patient care?
How can federated learning, secure health data environments and explainable AI protect patients while accelerating research?
Could Malaysia lead the region in AI driven precision oncology, and how can Malaysian and British universities, hospitals and companies collaborate?
This session forms part of NeuroCampur's wider work to strengthen Malaysia and UK collaboration in AI, including the forthcoming Akal Budi AI 2027 at Oxford, where healthcare and AI will be central themes.
Sunday 1 November 2026 · Online · 10:00 UK time / 18:00 Malaysia time · Free to attend
Only registered participants receive the online joining link. No website account is needed.
All queries:aisyah@neurocampur.ai