Known for its world renowned study of mice to understand the effects of disease, McLaughlin Research Institute will brand ...

Researchers at the Icahn School of Medicine at Mount Sinai have published a study in Nature Genetics that sheds light on a ...

Researchers have introduced an algorithm based on deep learning that can predict the effects of rare genetic variants. The method allows persons with high risk of disease to be distinguished more ...

Researchers have examined thousands of genetically defined traits to identify possible causal relationships for eight common ...

Researchers say work is underway to genotype the two CD subtypes in order to develop a simple test that can identify which ...

The ALSPAC data are used to develop pipelines for identification of environmental exposures [the exposome] so that they can be related to specific phenotypes; in parallel, the different phenotypes ...

Researchers at the Icahn School of Medicine at Mount Sinai have published a pivotal study in Nature Genetics (DOI: 10.1038/s41588-024-01917-1) that sheds light on a novel genetic variant associated ...

Researchers have published a pivotal study that sheds light on a novel genetic variant associated with intellectual capacities and educational outcomes. This discovery offers new insights into ...

This publication, which outlines Hood's vision for a data-driven approach to healthcare, marks the inaugural volume in the International Human Phenome Project series. Hood, a member of all four ...

Researchers suggest the DeepRVAT model is the first to use artificial intelligence (AI) in genomic association studies to decipher rare genetic variants.

Researchers at the Icahn School of Medicine at Mount Sinai have published a pivotal study in Nature Genetics (DOI: ...