Developing high-quality, safe, and effective drugs is a complex process that requires varied scientific skills and stringent regulatory assessments. Drug development is a process that spans many years ...

Drug discovery requires two separate steps: checking whether a drug can bind to a harmful molecule or its receptor, and ...

Overview AI is speeding up drug discovery by analyzing large biological and chemical data in a short time.Deep learning and AI systems help design new drug mole ...

Researchers from The Ohio State University and the Indian Institute of Technology Madras have developed an artificial intelligence framework to rapidly generate drug-like molecules that are easier to ...

UM researchers have developed a deep learning model to predict compound protein interactions. GraphBAN is an inductive graph-based approach. The model is all about discovering new drug candidates in ...

Pfizer, Eli Lilly, Novartis, Bristol Myers Squibb and AstraZeneca are all ramping up the use of AI, but drug discovery is not the primary success story—yet.

Antimicrobial resistance (AMR) is diminishing the effectiveness of existing antibiotics and intensifying the need for discovery pipelines that are both ...

Digital twins revolutionize drug discovery by integrating AI and biological data, enhancing prediction, trial design, and ...

There’s no doubt that large language models and generative AI tools have taken the world by storm. Their ability to create, ...

The world of medicine has taken a significant leap forward with the first AI-generated drug entering clinical trials. This breakthrough has the potential to revolutionize drug discovery, transforming ...

TOKYO--(BUSINESS WIRE)--Elix, Inc. (CEO: Shinya Yuki / Headquarters: Tokyo; hereinafter “Elix”) is pleased to announce that its AI drug discovery platform, Elix ...