In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...

This figure illustrates three key applications of AI in antimicrobial drug development: (1) target identification and validation, including novel target discovery, affinity prediction, multi-target ...

Baylor College of Medicine will be a site for a new multi-institution project aimed at investigating preclinical drug safety assessments. The project, known as DATAMAP, the Digital Acceleration of ...

Nvidia is no longer content to be the chip supplier behind other companies’ biotech ambitions. With a multibillion dollar ...

“Whether companies are initiating a new program with complex targets or facing challenges in lead optimization, Enki can help them access innovative chemistry beyond the boundaries of conventional ...

In a recent exclusive interview, Fierce Biotech’s Chris Hayden sat down with Alex MacDonald, Vice President of Model-Informed Drug Development at Allucent, to explore the impact of Project Optimus, an ...

Discusses Integrated Prefillable Syringe Systems to Streamline Drug Development and Reduce Complexity February ...

A client of Concept Life Sciences had discovered a series of innovative peptides with strong phenotypic potency. However, progress was hindered by a lack of target engagement data, which limited the ...

This webinar explores how liver microphysiological systems support toxicology from early screening to species-specific risk assessment study design and mechanistic insight into drug-induced liver ...

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 ...

To optimize the final formulation for a drug, it must meet many criteria beyond producing a safe and effective product. For example, it must be stable and amenable to various manufacturing steps, such ...