A major step toward simpler drug development has been taken at the University of Gothenburg. In a new study, researchers have developed stable boron-fluorine compounds that make it possible to ...

Researchers have applied AI and machine learning to every stage of the drug development process. This includes identifying targets in the body, screening potential candidates, designing drug molecules ...

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

Find out how NAMs are influencing safety assessments and decision-making in the pharmaceutical industry ahead of 2026.

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 ...

Large language models (LLMs) can be broadly applied across multiple key stages in drug development: (1) Target identification and drug screening. Llama-Gram, GPCR LLM, and ProtChat systems effectively ...

Solubility is an essential characteristic for any oral medication, directly governing the drug’s bioavailability and efficacy. However, this requirement is running up against the growing ...

Stability is a critical factor in drug formulation, with implications for product quality, lifecycle management, and ...

A new analysis of drug trials used to approve medicines in the United States shows how far modern medicine still has to go to ...