Predictive Modeling Archives - Medical Design Sourcing

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. BIOiSIM’s scoring system draws from an inferential search space of more than 1 billion drug-like compounds and capacity to model 800 billion total simulation scenarios powered by 10 billion deep learning neural network effects. The vast search space of drug-like compounds and data processing capabilities enable it to evaluate numerous factors such as its potency, selectivity, and safety profile to determine a drug’s overall likelihood of success.

BIOiSIM focuses on predictive insights

The considerable scale of data allows for a comprehensive analysis of drug compounds, bolstering the pr…

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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, but the path to regulatory approval can also be far less costly and risky than the traditional approach to drug development, largely because clinical evidence of safety already exists. And most importantly, the result is more and better treatment options for patients.

In keeping the law of unintended consequences, recent provisions introduced by the 2022 Inflation Reduction Act (IRA) blunted the potential benefits of drug repurposing. As a result of limiting the window of time during which pharmaceutical companies can recoup investments before…

Predictive Modeling

BIOiSIM assigns ‘credit scores’ to drug candidates

Using AI to unlock new uses for existing cancer medicines