"AI Uncovers Drug Toxicity Risks by Analyzing Human-Animal Model Gaps"

Artificial intelligence is revolutionizing drug safety by identifying Toxicity risks that occur in Clinical trial phases, preventing potentially fatal outcomes like those seen with TGN1412 in the United Kingdom.

• In the United Kingdom, the immunotherapy TGN1412 caused a dangerous cytokine storm, leading to multiple organ failure within hours during its clinical trial, highlighting risks of toxicity.
• The stroke drug candidate Aptiganel was effective in preclinical development but faced human trials where severe side effects like hallucinations prompted its discontinuation.
• A novel machine-learning technology leverages artificial intelligence to analyze discrepancies between animal models and human responses, aiming to enhance safety in drug development.