Medicine & Healthcare Clinical pathology

Kelli canines, Healthy fats in rice, Mercury and Earth in chorus, AI lights up materials discovery, Radiation detection with phones and Down to one. Read all in the latest Editor's Choice. Plus Women's Month 2026.

Duke-NUS scientists have identified how a small number of overactive genes may drive widespread changes in brain function in Down syndrome, helping explain how an extra chromosome affects learning and memory.

Recipient Professor Enrico Petretto from Duke-NUS is spearheading groundbreaking research to develop new drugs for lung disease and uncover new therapeutic targets for kidney disease.

Meta-analysis of medical research with LLMs reveals diagnostic accuracy

First-of-its-kind in Singapore, the clinical trial will test a technology that enables specific cell therapy products to be manufactured for use in patients.

• Only 20% of primary liver cancer or hepatocellular carcinoma (HCC) are diagnosed at an early stage, which makes early detection an urgent, unmet healthcare need. • Study aims to develop more accurate diagnostics for early HCC, an AI algorithm to predict an individual’s risk of developing HCC, and discover novel molecular targets to prevent the development of HCC. • Study aims to recruit 2,000 participants at high risk of developing HCC from six healthcare institutions and eight polyclinics across Singapore.

Dr. Timothy Liong Tipoe, a 2019 graduate of the MBChB programme in the Global Physician-Leadership Stream of The Chinese University of Hong Kong (CUHK), has been awarded the Esther Yewpick Lee Millennium Scholarship to pursue a DPhil in Clinical Medicine at the University of Oxford, starting from October this year. Timothy has always excelled in academics, as demonstrated by his 11A*s in the 2012 General Certificate of Secondary Education (GCSE) and a perfect score of 45 in the 2014 International Baccalaureate (IB) Diploma.

STAMP technology is a million times more sensitive and comprehensive to accurately detect and classify tumours from a small clinical sample