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 ...

The wide range of chromatographic techniques share one common aim: to separate a material into its components. A material, your sample, is dissolved in a solvent, called the mobile phase. This mixture ...

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 ...

Traditionally, developing a new drug takes many years and requires a massive financial investment, often involving significant risk and a high likelihood of failure. AI models trained on extensive ...

Thermo Fisher Scientific Launches Invitrogen™ TaqMan™ Cells-to-CT™ HepatoExpress Kit to Simplify Liver Cell Gene Expression and Help Advance Early-Stage Drug ...

Researchers at Harvard Medical School developed a tool that uses artificial intelligence to accelerate drug discovery and development. The new technology, called PDGrapher, applies machine learning to ...

Nvidia and Eli Lilly are teaming up on a $1 billion AI-powered lab to accelerate drug discovery, combining robotics, molecular modeling and automated research workflows.

A successful drug discovery and development pipeline involves a wide variety of data, including molecular and macromolecular structures, in vivo and in vitro bioactivity, bioavailability, ...

Bissan Al-Lazikani (left) is a Professor of Genomic Medicine and Director of Therapeutics Data Science at The University of Texas MD Anderson Cancer Center (Houston, TX, USA), where she heads an ...

Forbes contributors publish independent expert analyses and insights. Gil Press writes about technology, entrepreneurs and innovation. Will AI transform the typical trials and tribulations of drug ...