Researchers from Google DeepMind, BIFOLD, and TU Berlin have unveiled AI models that simulate molecular behavior without hard-coded physical laws, achieving competitive results through massive ...
Researchers from BIFOLD and Google DeepMind have developed MD-ET, a transformer-based molecular dynamics model that achieves state-of-the-art results without encoding traditional physical constraints ...
The rapid advancement of spatial and single-cell omics technologies has revolutionized molecular biosciences by enabling high-resolution profiling of gene ...
Researchers from the Massachusetts Institute of Technology (MIT) Jameel Clinic for Machine Learning in Health have announced the open-source release of Boltz-2, which now predicts molecular binding ...
Environmental DNA (eDNA) and metabarcoding are transforming biodiversity monitoring by enabling rapid, non-invasive assessments of community composition ...
To build a self-supervised magnetic resonance imaging (MRI) foundation model from routine clinical scans and to test whether it can support key glioma-related applications, including post-therapy ...
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