After securing US orphan designation for an artificial intelligence-assisted therapeutic, Insilico's co-CEO Feng Ren sits down for a wide-ranging interview in which he discusses why AI drug discovery is more predictable, efficient and cost-effective than the conventional bench-to-bed model. AI's limitations and validations, why the industry should get excited about algorithms, data sets and deep learning are other topics to consider in this fast-growing field. 

After securing US orphan designation for an artificial intelligence-assisted therapeutic, Insilico's co-CEO Feng Ren sits down for a wide-ranging interview in which he discusses why AI drug discovery is more predictable, efficient and cost-effective than the conventional bench-to-bed model. AI's limitations and validations, why the industry should get excited about algorithms, data sets and deep learning are other topics to consider in this fast-growing field. 

In a crowded AI-driven drug development sector, BenevolentAI stands out with its broad pipeline of drug candidates, deep pockets, and a growing partnership with AstraZeneca. Ivan Griffin, company co-founder and chief operating officer spoke with In Vivo about the formula behind the company’s successes.

With valuations down and borrowing costs up, many industry insiders are expecting Darwinian scenes in biotech this year. Survival of the fittest is the order of the day: companies with riskier, less commercially defined propositions will struggle, while platform companies with multiple shots on strong goals will increasingly find favor in a more risk-averse environment.