Merck partners with California-based research group to study catalysis innovation through machine learning

Aim is to predict novel catalysts using machine learning (ML) and artificial intelligence (AI) techniques

AMPEL BioSolutions' predicts drug options with RNA analytics & machine learning

Merck KGaA collaborates with University of Bonn to advance molecular machine learning

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

Machine Learning to understand and prevent disease

Barbara Engelhardt moves her computational and statistics lab to Gladstone

AIkido updates on use of machine learning in drug development orogram

The goal for the project is the identification and optimization of anti-viral compounds.

National Health Authority set to host AB PM-JAY Auto-Adjudication Hackathon Grand Finale

More than 3,500 participants will join the nationwide AI-focused hackathon hosted as Indian Institute of Science

NIT Rourkela secures patent for rapid spice adulteration detection system

FTIR and machine learning-based technology enables real-time, cost-effective quantification of food adulterants

BioMed X launches AI-driven bispecific antibody research team in France

The newly formed team is led by Tomabu Adjobimey, an immunologist known for his work in host-pathogen interactions and immune modulation

Novo Nordisk and OpenAI forge major AI alliance to accelerate drug discovery & healthcare operations

The collaboration will embed OpenAI’s advanced AI systems across Novo Nordisk’s global operations

OneCyte and Kemp Proteins to revolutionize cell line development

Biopharma companies face persistent hurdles in cell line development, including long timelines, low yields, and high failure rates for novel molecules