Neuroscientists want to understand how individual neurons encode information that allows us to distinguish objects, like ...

Functional annotations based on preclinical data 30 were collected from functional annotation of somatic mutations in cancer (FASMIC; accessed on August 26, 2024). 54 CIs for sensitivity and ...

We identified 12 novel FGFR extracellular small variants with potential driver function. Comparison of clinical and preclinical data on FGFR variants with pathogenicity predictions of state-of-the-art ...

Models provide highly relevant species-specific data, predict in vivo drug clearance/transport, and support preclinical analysis of cancer therapiesPITTSBURGH, June 12, 2025 (GLOBE NEWSWIRE ...

Differential neural networks (DiNNs) encounter a trade-off between the approximation quality and structural complexity. One promising approach to address this trade-off is incorporating dynamic ...

Functional neurological disorder (FND) is a common and highly disabling disorder, but its aetiology remains enigmatic. Conceptually, there has been reduced emphasis on the role of psychosocial ...

The recent density functional theory predictions for the electrochemical properties of the double layer formed by a model ionic liquid wherein each cation is represented by two touching hard spheres, ...

The model also supports molecular subtyping and predicts treatment response. Decision Interpretation of MOME. Credit: Nature Communications (2025). DOI: 10.1038/s41467-025-58798-z ...