This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Precision medicine models often rely on data from Northern European populations, leading to treatment inequities. Genetic diversity is crucial for understanding disease risk and treatment efficacy, as ...

Scientists at Mount Sinai have created an artificial intelligence system that can predict how likely rare genetic mutations are to actually cause disease. By combining machine learning with millions ...

Researchers still do not have a comprehensive picture of the factors that influence gene expression in human cancers. Understanding gene expression in cancer is important because it can reveal how the ...

A sweeping genomic analysis reveals how psychiatric disorders cluster into five biological families, exposing shared pathways and pinpointing where their genetic roots diverge. Study: Mapping the ...