Advancing predictive toxicology: overcoming hurdles and shaping the future
Sara Masarone, Katie V Victoria Beckwith, Matthew R. Wilkinson, Shreshth Tuli, Amy Lane, Sam Windsor, Jordan Lane, Layla Hosseini-Gerami
Abstract
Exploring the integration of AI, data-driven approaches, and systems biology to advance predictive toxicology, leveraging ‘omics’ data and in silico modelling to address translational challenges and improve safety assessments in drug discovery.
Topics & Concepts
Risk analysis (engineering)ToxicologyEngineering ethicsMedicineEngineeringBiologyComputational Drug Discovery MethodsAnimal testing and alternatives