The collaboration marks a turning point in AI-driven drug design and trial forecasting, de-risking the drug development ...

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 future of clinical research depends on people just as much as strong systems and processes. Learn what makes great ...

For decades, discovery has relied on "brute force" mass-screening – testing thousands of random compounds hoping one will ...

The U.S. Food and Drug Administration (FDA) issued its third Patient-Focused Drug Development (PFDD) guidance titled, “Selecting, Developing, or Modifying Fit-for-Purpose Clinical Outcome Assessments ...

The clinical trial ecosystem is entering a phase of consolidation and reinvention driven by the collapse of boundaries between functions, data, and even companies themselves.

The potential of using artificial intelligence in drug discovery and development has sparked both excitement and skepticism among scientists, investors, and the general public. Researchers have ...

Many clinical trials include a placebo group—participants who receive an inactive treatment—so researchers can compare ...

In Darwinian terms, survival isn’t a matter of being the biggest, the fastest, or the strongest of the species, but instead ...