
After several months of collaboration, the US Food and Drug Administration (FDA) and the European Medicines Agency (EMA) have released a common set of 10 guiding principles to inform, enhance, and promote the use of artificial intelligence (AI) for generating evidence across all phases of the drug product life cycle.
The integration of AI in drug development has the potential to transform the way drugs are developed and evaluated, ultimately improving health care. AI technologies are anticipated to help promote innovation, reduce time-to-market, strengthen regulatory excellence and pharmacovigilance, and decrease reliance on animal testing by improving the prediction of toxicity and efficacy in humans.
These 10 guiding principles lay the foundation for developing good practice that addresses the unique nature of these technologies and identifies areas for potential collaboration by international regulators, international standards organizations and other collaborative bodies.
This article is accessible to registered users, to continue reading please register for free. A free trial will give you access to exclusive features, interviews, round-ups and commentary from the sharpest minds in the pharmaceutical and biotechnology space for a week. If you are already a registered user please login. If your trial has come to an end, you can subscribe here.
Login to your accountTry before you buy
7 day trial access
Become a subscriber
Or £77 per month
The Pharma Letter is an extremely useful and valuable Life Sciences service that brings together a daily update on performance people and products. It’s part of the key information for keeping me informed
Chairman, Sanofi Aventis UK
| Headless Content Management with Blaze