With just 10% of therapeutic programs successfully moving from first toxicity dose to market, drug developers are on a constant hunt for new tricks to put the odds in their favor. Strategies abound, from biomarker-guided patient selection to deeper regulatory engagement. But big pharma executives and an academic expert weighing the challenge at the BIO International Convention said June 14 they see another tool slowly gaining traction with the potential to decrease timelines and boost chances for approval: in-silico modeling.
With just 10% of therapeutic programs successfully moving from first toxicity dose to market, drug developers are on a constant hunt for new tricks to put the odds in their favor. Strategies abound, from biomarker-guided patient selection to deeper regulatory engagement. But big pharma executives and an academic expert weighing the challenge at the BIO International Convention said June 14 they see another tool slowly gaining traction with the potential to decrease timelines and boost chances for approval: in-silico modeling.
The importance of artificial intelligence and machine learning continues to be acknowledged by drug development companies. Recently, to help accelerate the discovery of therapies to treat COVID-19, several deals have been forged to deploy those tools.
