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 ...

Designing an efficient platform is crucial for any industrial process. This design process is known as process development, and it has become increasingly important in the pharmaceutical industry at ...

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 ...

Over the past year, drug discovery has gotten a massive boost from the CAS BioFinder Discovery Platform, which allows scientists to explore known and predicted data that accelerate the preclinical ...

Computational drug discovery and design embodies the integration of advanced computational methods, machine learning, and cheminformatics to streamline the identification and optimisation of ...

Clinical trials for drug development are notoriously slow and expensive, and only a small fraction of drug candidates end up being approved by the regulatory authorities. The extensive bottlenecks in ...

Discover how drugs prevent, cure, and alleviate ailments. Learn about over-the-counter vs. prescription drugs and the ...

At the heart of every biological process, from the replication of cells to the functioning of the human brain, lies the intricate world of proteins. Understanding the structure of these molecules, ...

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

Recursion Pharmaceuticals leverages AI and machine learning to revolutionize drug discovery, reducing costs and accelerating development, positioning itself as a leader in tech-driven biopharma. The ...

Discover what the next wave of AI-assisted drug discovery looks like and how it can help biotech - the AI and physics combo.