Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

Tamarind’s platform for model coordination and inference enables user-friendly AI tools for life science researchers.

Artificial intelligence has solved one of biology’s most stubborn mysteries: how proteins fold into their intricate three-dimensional shapes. But as the field shifts from prediction to application, a ...

Isomorphic Lab’s proprietary drug-discovery model is a major advance, but scientists developing open-source tools are left ...

Research has revealed the neurotoxic mechanism of nicotine at environmentally relevant concentrations in zebrafish embryos. By integrating computational predictions with multi-omics experimental ...

University of Missouri researchers have released the world's largest collection of protein models with quality assessment—a ...

BANGALORE, India , Feb. 17, 2026 /PRNewswire/ -- According to Valuates Reports, The global market for AI in Biotechnology was valued at USD 1033 Million in the year 2024 and is projected to reach a ...

“Many antibodies that were not functional when expressed as intrabodies were ultimately found to be converted into functional ones in our study,” commented Kimura. “This confirms that AI allowed us to ...

Five years ago, our AlphaFold AI system solved the 50-year grand challenge of protein structure prediction. But that's not ...

Explore the impact of AI in drug discovery as 2026 promises critical clinical results and industry transformations.