Machine learning models reveal that histone marks are predictive of gene expression across human cell types and highlight important nuances between natural control and the effects of CRISPR-Cas9-based ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than relying on a single vegetation index, enables more accurate disease assessment.

A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...