2+ hour, 48+ min ago  (636+ words) Tumors are biologically complex and highly heterogeneous, not only across different cancer types, but within a single indication. This heterogeneity is one of the central reasons why programs that look promising and even perform well in early studies often fail…...

2+ mon, 3+ day ago  (651+ words) Single-cell omics is used across a wide range of drug discovery programs, from target identification to biomarker work and translational studies. The technology has made it possible to look at biology at a much finer resolution, often down to individual…...

6+ mon, 3+ week ago  (448+ words) A second wave is changing how the industry thinks about AI for drugs. Rather than simply applying generic AI models to databases of known molecules, some companies now look to combine computational physics, structure-based modelling, and generative AI to design…...

11+ mon, 4+ week ago  (198+ words) Antibody therapies constitute a vast global market: currently valued at over $250 billion, the market for antibodies is expected to exceed $850 billion worldwide by 2032. Driving forces behind this. .. Artificial intelligence and the future of antibody discovery Discover how AI and ML…...