Lilly and NVIDIA launch AI co-innovation lab to tackle drug discovery challenges.NVIDIA collaborates with Thermo Fisher to ...

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 ...

Recursion Pharmaceuticals leverages AI and machine learning to revolutionize drug discovery, reducing costs and accelerating development, positioning itself as a leader in tech-driven biopharma. The ...

Drug discovery has traditionally been slow and expensive, often taking decades and costing manufacturers billions. Traditional methods, while advancing, are hitting limits in tackling the complexities ...

One of the major promises of artificial intelligence (AI) is its role in speeding up drug discovery. AI can process massive ...

In this interview, Dr. Malika Bsibsi discusses the role of iPSC models in advancing neuroscience drug discovery, focusing on neurodegeneration, neuroinflammation, and innovative in vitro approaches.

Artificial intelligence (AI) can accelerate drug development, reduce costs, and improve treatment efficacy, but faces challenges like data quality and regulatory hurdles. Over 900 FDA-approved ...

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 ...

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 ...

Explore the impact of drug discovery automation in 2026, addressing complexity and improving decision-making across ...

Nvidia and Lilly are already partnering on an “AI factory,” a supercomputer system that allows researchers to train AI ...