This proteomics-driven approach to drug discovery improves target validation and uncovers insights into undruggable proteins, ...

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What if vaccine development didn’t have to take a decade? This piece looks at how AI is helping scientists ask better ...

Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...

Scientists at the Department of Energy's Oak Ridge National Laboratory have developed software that reduces the time needed ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

AI can help protein engineers optimize the transcription enzymes used to make mRNA-based vaccines and therapeutics, say the authors of a new study.

This whitepaper explores the role of process analytical technology (PAT) in enhancing the efficiency of upstream biomanufacturing processes.

Text mining and knowledge graphs connect cell-culture parameters to glycosylation for faster bioprocess optimization.

Pfizer, Eli Lilly, Novartis, Bristol Myers Squibb and AstraZeneca are all ramping up the use of AI, but drug discovery is not the primary success story—yet.

Generative engine optimization (GEO) is the practice of positioning your brand and content so that AI platforms like Google AI Overviews, ChatGPT, and Perplexity cite, recommend, or mention you when ...