Drug Target Review has published the final instalment of Dr Raminderpal Singh's conversation with Dr Layla Hosseini-Gerami about AI-driven approaches to solving toxicity challenges in drug discovery.
What role could large language models and AI agents play in drug safety? In part 3, they discuss how emerging technologies might make toxicity analysis faster, more accessible and part of the drug discovery workflow from day one.
"The statistics are sobering – 56 percent of drug candidates failing due to safety issues represents an enormous waste of scientific potential and investment capital, alongside delayed treatments for patients.
While recent advances in multiomics data generation, systems biology approaches and AI methods offer promising new directions, realising their full potential will require addressing systemic issues in how the industry approaches safety evaluation and data sharing."
Read more:
Part 3 of 'Fixing failed drugs - AI solutions for toxicity in drug discovery,' can be read in full at Drug Target Review.
Published: 28 July 2025 by Drug Target Review.
