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 ...

AI boosts efficiency in early, high-failure R&D, improving success rates and capital efficiency across biotech and pharma.

Overview AI is speeding up drug discovery by analyzing large biological and chemical data in a short time.Deep learning and AI systems help design new drug mole ...

Explore AI in drug discovery and its journey from promise to proof in 2025 with significant achievements and challenges faced.

Experience the forefront of pharmaceutical innovation as Labroots and the Drug Discovery and Development planning committee host the 9th Annual Drug Discovery & Development Virtual Event on February ...

There’s no doubt that large language models and generative AI tools have taken the world by storm. Their ability to create, ...

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

DUBLIN--(BUSINESS WIRE)--The "AI in Biotechnology: Global Markets" report has been added to ResearchAndMarkets.com's offering. The global market for AI in biotechnology was valued at $3.8 billion in ...

In the rapidly evolving field of drug discovery, single-cell analysis has become an invaluable tool for understanding cellular heterogeneity and molecular pathways. However, traditional single-cell ...

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

Traditionally, developing a new drug takes many years and requires a massive financial investment, often involving significant risk and a high likelihood of failure. AI models trained on extensive ...

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