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

Designing an efficient platform is crucial for any industrial process. This design process is known as process development, and it has become increasingly important in the pharmaceutical industry at ...

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

A new AI model from Google DeepMind called AlphaGenome can predict how DNA mutations affect biological processes, helping pinpoint genes linked to diseases and speeding up drug discovery.

Eli Lilly and Nvidia are partnering to build what the companies call the pharmaceutical industry's "most powerful" supercomputer and so-called AI factory to help accelerate drug discovery and ...

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 ...

AI has fundamentally altered the feasibility of natural product discovery from fungal endophytes. Advances in genome sequencing, metabolomics, and systems biology have generated vast datasets, but ...

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 ...

The Forum on Drug Discovery, Development, and Translation provides a neutral platform for dialogue and collaboration among thought leaders in government, industry, academia, consortia, foundations, ...

Changes in the political climate of the United States are spilling into scientific research. While many past administrations, of both parties, supported and funded science funding and education, the ...