Aim is to predict novel catalysts using machine learning (ML) and artificial intelligence (AI) techniques
The three-year collaboration will focus on the development of new tools for computational chemistry modelling as well as new molecular representations to advance the next generation of molecular machine learning
Barbara Engelhardt moves her computational and statistics lab to Gladstone
The goal for the project is the identification and optimization of anti-viral compounds.
The collaboration is focused on overcoming a major limitation in existing cancer drugs
Collaboration integrates MERCURIUS DRUG-seq technologies with Revvity’s screening portfolio, enabling scalable transcriptomic profiling for next-generation drug discovery and AI-driven research
Company experts to participate in eight sessions covering AI-powered clinical development, regulatory innovation, oncology research, and patient engagement
Collaboration aims to accelerate medicinal chemistry decision-making, reduce synthesis burden and strengthen data-secure AI adoption in drug discovery
Company launches clinical study of AI-designed oral formulation following MHRA approval, marking a major milestone in AI-driven drug development.
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