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 ...

Following my previous post, I have been thinking about the current state of AI drug discovery. In the first part, I defined ...

The six-day programme, organised by FABA with academic and industry partners, covers medicinal chemistry, AI-based drug ...

Drug discovery is the process through which potential new medicines are identified. It involves a wide range of scientific disciplines, including biology, chemistry and pharmacology. New work reveals ...

It is easy to get the impression that once AI finds a new drug candidate, it can be used for treatment immediately.However, ...

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 ...

AI drug discovery is changing biotechnology by analyzing biological data, identifying candidates and improving clinical trial ...

Warp Sciences, a San Francisco-based biotechnology infrastructure company, has emerged from stealth with $215 million in ...

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, ...

The process of discovering new drugs and bringing them to market is notoriously slow and inefficient. Amazon Web Services is hoping to use AI to streamline this process, it announced Tuesday. Amazon ...

Goldman Sachs estimates that AI drug discovery and breakthroughs like gene editing will add 0.5% to 2.5% to the U.S. gross ...

Conventional drug delivery is known for being both a lengthy and expensive process, with pre-clinical testing taking between three to six years and costing between hundreds of millions of dollars to ...