Insights to innovation: Insilico Medicine AI-driven practice published on Springer Nature in latest AI for Drug Discovery Volume
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Updates every hour. Last Updated: 9-Jun-2026 12:16 ET (9-Jun-2026 16:16 GMT/UTC)
On January 9, 2026, the latest edition of Applied Artificial Intelligence for Drug Discovery was published online as a Springer Nature volume, spanning 27 chapters authored by leading international experts to present state-of-the-art approaches in the whole drug discovery process. As a pioneering global biotechnology company, Insilico Medicine (3696.HK) made exclusive contributions to two chapters in the comprehensive and forward-looking volume, sharing experience in real-life application of AI in early drug target-related tasks including evaluation, and giving prospects for the future assisted with quantum computing. The book has obtained 1700+ accesses, only 10 days after publication.
A new University at Buffalo study examines what happens to discarded cigarette butts when released into the environment. Findings showing that one cigarette filter can release up to two dozen microfibers almost immediately upon contacting water. More than 100 additional microfibers may break free of the filter within 10 days depending on how the water is moving.
This quick release of cellulose acetate fibers – what most cigarette filters are made of – had not been precisely measured before. This builds upon the evidence that cigarette butts –the most littered item worldwide – are a direct and underestimated source of microplastic pollution.
Researchers have mapped the cellular diversity of the eye’s fluid drainage tissue, identifying a cell subtype that shows early signs of dysfunction in a genetic mouse model of glaucoma. Their study, published today in eLife as the final Version of Record after appearing previously as a Reviewed Preprint, provides what the editors say are fundamental findings, highlighting vitamin B3 treatment as a potential therapeutic strategy for preventing or slowing the development of glaucoma.
Negative memory bias, the tendency to remember negative experiences more easily than positive ones, can fuel cycles of anxiety and depression. In a recent study, researchers from the University of Toyama identified Cognitive bias modification for memory bias (CBM-M) as a potential, accessible intervention for people at risk. Using a randomized controlled trial and brain imaging techniques, the study shows that CBM-M can reduce psychological and biological stress and alter brain circuits linked to emotional memory.