Bringing a new drug to market is a complex journey filled with challenges and hurdles. One crucial aspect is understanding and optimising the active compound’s ADMET properties: its absorption, distribution, metabolism, excretion, and toxicity, all of which are critical in determining a drug candidate’s success or failure.

In this article, Dr Robert Scoffin, CEO at Cresset, explores the inherent difficulties of predicting ADMET properties. He reviews the landscape of available solutions and provides insight into how this area could develop through the application of modern machine learning (ML) and artificial intelligence (AI) techniques.

Read the full article ‘Overcoming key challenges in drug discovery and development: ADMET prediction with AI techniques‘ in Scientific Computing World.