Biomarkers are strategic assets for biopharma companies, significantly improving the success rate of clinical trials1. Yet, discovering them often feels like navigating through a blizzard of unstructured information, searching for the one true signal that can guide the way. While laboratory automation has eased benchwork, the real storm rages in the data, obscuring access to…
BIOiSIM assigns ‘credit scores’ to drug candidates
VeriSIM Life, a San Francisco-based startup, has created BIOiSIM, an AI-powered platform that simulates drug compound behavior in the human body by acting like a virtual laboratory. It assigns each a predictive “credit score” predicting its viability for drug development. “It’s like a FICO score for drug development,” founder and CEO Dr. Jo Varshney said.…
Using AI to unlock new uses for existing cancer medicines
Repurposing is a drug development strategy that has been widely applied in cancer. This strategy, sometimes called label expansion, involves obtaining FDA approval to market a drug for the treatment of new indications, alone or in combination with other drugs. Not only can this approach extend the window of patent protection for a commercialized drug,…
New AI tool InClinico predicts clinical trial outcomes with 79% accuracy: A closer look with InSilico CEO, Alex Zhavoronkov
Roughly nine out of ten clinical trials fail as a result of factors such as lack of efficacy and unmanageable toxicity, as the journal Pharma Excipients has noted. After seven years of development, Insilico Medicine has scored a breakthrough with its generative AI tool, inClinico. In particular, the tool demonstrated 79% accuracy in predicting the…