Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

Machine learning (ML) is transforming protein structure prediction. Algorithms can predict 3D structures from amino acid ...

Researchers have developed a deep-learning model, called PepFlow, that can predict all possible shapes of peptides -- chains of amino acids that are shorter than proteins, but perform similar ...

Managing real-time data is crucial for technologies that help computers learn and make decisions, a field known as machine learning. In simple terms, machine learning teaches computers to find ...

Researchers developed a fully open-source biomolecular structure prediction model that achieves state-of-the-art performance, at the level of AlpahFold3, in an effort to democratize biomedical ...

Software engineers are increasingly seeking structured pathways to transition into machine learning roles as companies expand ...

A new research paper featured on the cover of Volume 17, Issue 11 of Aging-US was published on October 30, 2025, titled "SAMP ...

Retrospective validation of a novel multimodal AI prognostic tool integrating digital pathology and clinical data against real world data and Oncotype DX in a Swiss breast cancer cohort. This is an ...