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 ...

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 ...

Generative AI based on Large Language Models (LLMs), the technology behind popular tools like ChatGPT and Google Gemini, is revolutionizing various industries, including the world of drug discovery.

In the pharmaceutical discovery process, understanding a drug’s residence time—the duration a molecule remains bound to its ...

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, ...

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 ...

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 RXRX is redefining the traditional model of drug discovery by harnessing the power of artificial intelligence (AI) through its proprietary RecursionOS platform, developed in ...

Artificial intelligence and machine learning are being embedded in every aspect of the drug discovery and development process. In the preclinical stages, for example, companies are using advanced AI ...

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 ...

Drug discovery has traditionally been slow and expensive, often taking decades and costing manufacturers billions. Traditional methods, while advancing, are hitting limits in tackling the complexities ...