The development of new drugs and treatments is an extremely complicated and failure-prone process. As an example of the scale of the challenge - developing a drug and getting it to market can take 10-15 years and cost more than $2.5 billion. What’s more, the top selling drugs available today only work for 30-50% of the patients to whom they are prescribed.
Although technology has been an indispensable component of drug discovery for decades, patients are not yet authentically benefiting from its potential at it relates to the generation of new and more effective treatments.
In this podcast, Jackie discuss how the high cost and decline in tangible outputs from drug R&D, has resulted in the need to seek out new inventive solutions to improve the efficiency of medicinal development. We explore a radically different approach - how building machine learning tools and applying artificial intelligence to drug discovery can create new ideas to be interpreted by scientists in the lab.
Listen to Jackie explain BenevolentAI’s approach to drug discovery and the progress we are making to better understand diseases and to develop treatments for the millions of patients that need them.