Objective: Biomedical datasets intended for use in AI applications require packaging with rich pre-model metadata to support model development that is explainable, ethical, epistemically grounded and FAIR (Findable, Accessible, Interoperable, Reusabl...
Cell migration is a key biological process underlying wound healing, tissue development, and cancer metastasis, yet calibrating mathematical models of migration to experimental data remains a major challenge. Scratch and barrier assays are widely use...
The preprint ecosystem has expanded rapidly over the past decade, fundamentally altering science communication. Yet, the scholarly community's attitudes toward this shift remain underexplored. Through a large-scale survey of US and Canadian biomedica...
Climate change poses a major threat to humanity by driving biodiversity loss and reducing crop yields. To understand the molecular and developmental impacts of rising temperatures, plant science has relied heavily on the model organism Arabidopsis th...
Human iPSC-derived neuronal networks are increasingly being employed in basic and applied research to enhance translation. Astrocytes are essential for neuronal network function, but are often not included, or replaced with mouse astrocytes, which co...
The discovery of novel small molecules is challenging because of the vastness of chemical space and the complexity of protein-ligand interactions, leading to low success rates and time-consuming workflows. Here, we present LLMsFold, a computational f...
The success of deep learning binding affinity prediction models depends critically on expanding experimental data with reliable synthetic data. We extend the Structurally Augmented IC50 Repository (SAIR) with {approx}80K absolute free energy perturba...
Monitoring fish communities is essential for understanding biodiversity dynamics and coral reef ecosystem health. Underwater imaging provides a non-invasive and repeatable approach for such monitoring, yet analysis of large volumes of video data rema...
Sleep is an essential behavioral state that evolved early in animals, possibly with the advent of the nervous system. The complexity of sleep neural networks varies significantly across phylogeny, yet common signaling molecules exist. Stress-induced ...
Accurate annotation of protein function is essential for understanding biological processes, yet this remains challenging for proteins lacking characterized homologs or belonging to underrepresented functional classes. Although machine learning appro...
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.