However, as groundbreaking as these therapies are, they also pose unique challenges for the drug development process, particularly regarding quality assurance (QA). The role of QA is more critical ...

A high drug failure rate is more than just a pattern recognition problem. Here's how we can address some of the root causes.

The pharmaceutical industry has long been reliant on rigorous research and development processes to bring life-saving drugs to market ... delays in the development process to the tune of months ...

1). PK/PD modeling allows us to address a number of key questions at the various stages of the drug discovery and development process (i.e., PhAT). The main objective of early drug development is to ...

Cell line development plays a pivotal role in the manufacturing of therapeutic proteins, vaccines and other biologics.

“So, we need to increase efficiency on the process development side. While automation is one way of doing that, a much more efficient solution is to use in silico process development data to increase ...

In January, the U.S. Food and Drug Administration (FDA) issued its first guidance on the use of artificial intelligence (AI) models in ...

The average drug now costs more ... very exciting time in drug development,” he adds. “The utilization of AI and big data is revolutionizing our drug-discovery process. What once required ...

Schrodinger (SDGR) and Recursion Pharmaceuticals (RXRX), which both specialize in using AI to hasten drug discovery, are jumping 17% and 11%, respectively. iCAD (ICAD), whose products harness AI ...