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

Find out how AI influences drug discovery, enabling earlier predictions and reducing the risks in clinical 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 ...

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 ...

Insilico Medicine, a clinical-stage biotechnology company powered by generative AI, and Qilu Pharmaceutical Group, a major comprehensive modern pharmaceutical enterprise in China, as well as its ...

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 ...

Venture Partners at CU Boulder has announced the first recipients of a new translational funding program designed to advance promising, early-stage therapeutics with strong commercial potential. The ...