Shanghai, China, May 12, 2026 --- Insilico Medicine ("Insilico", 03696.HK), a biotechnology company powered by generative artificial intelligence, today announced that the company has entered a strategic collaboration agreement with Suzhou Ribo Life Science Co., Ltd.  ("Ribo", 06938.HK), a globally leading clinical-stage company in oligonucleotide therapeutics. Building upon the automation, intelligence and scalability capabilities of Insilico's LifeStar 2 laboratory, the two parties will further deepen the existing experimental service cooperation, combining the end-to-end R&D capabilities of Insilico's proprietary Pharma.AI platform with Ribo's profound expertise in oligonucleotide therapeutics development, aiming for comprehensive efficiency boost in the oligonucleotide drug R&D cycle.

Korea University's College of Medicine (Dean Pyun Sung-bom) has been simultaneously selected for the undergraduate and graduate programs of the '2026 Convergence Physician-Scientist Training Project' organized by the Korea Health Industry Development Institute.

A recent study conducted at the University of Jyväskylä, Finland, investigated the emotions evoked by physical activity and what motivates people across different weight groups to exercise. The study found that individuals with obesity experience fewer pleasant emotions during exercise compared with those of normal weight. The researcher recommends that pleasure and enjoyment should be considered in exercise counselling aimed at weight management.

Researchers from some of the UK’s leading academic institutions have warned that simply hiring more NHS staff will not be enough to reduce surgery backlogs, in newly published research.

Proteins change shape as they function, and these changes are essential for processes such as drug interactions and cellular activity. Researchers from the Tokyo University of Science developed an AI-based method called DeepAFM that is trained on millions of simulated images representing different protein states, accurately identifying transitions between closed and open states in a protein called SecA. This approach highlights the growing potential of AI to solve complex challenges in biology and medicine.