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

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

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

Pfizer scrapped its own obesity drug candidate, Danuglipron, in early 2025, citing risks of liver enzyme elevations. ・The ...

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 ...

Early-stage regulatory strategy is becoming a powerful driver of speed, risk reduction, and commercial value in drug ...

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 ...

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

Produced in Partnership with ERWEKAReviewed by Emily MageeJan 6 2025 Tablets are the most common solid dosage form of medication by far, with over one trillion produced annually. 1 Tablets are mainly ...