In a National Institutes of Health (NIH)-funded study, researchers developed a cancer assessment tool that can identify high-risk patients and the tumor cells linked to that risk.

For the first time, a stem cell model has produced a structure resembling an early human embryo with a yolk-sac-like structure, from a single starting stem cell population and without direct genetic ...

Oregon Health & Science University researchers have developed a first-of-its-kind method to predict cancer patient survival ...

Oregon Health & Science University researchers have developed a first-of-its-kind method to predict cancer patient survival using advanced molecular ...

The rapid advancement of spatial and single-cell omics technologies has revolutionized molecular biosciences by enabling high-resolution profiling of gene ...

Oregon Health & Science University researchers have developed a first-of-its-kind method to predict cancer patient survival ...

Conservation levels of gene expression abundance ratios are globally coordinated in cells, and cellular state changes under such biologically relevant stoichiometric constraints are readable as ...

Billion dollar-backed AI drug developer, Xaira Therapeutics, has recently released the largest virtual cell model to-date to predict how cells respond to genetic perturbations in unseen biological ...

A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to patient outcomes using widely available bulk RNA sequencing data. The approach ...

State-of-the-art AI model accurately predicting unseen biological experiments X-Cell is trained on X-Atlas/Pisces, the largest and most context-diverse genome-wide perturbation dataset ever reported ...

Five years ago, scientists watched in wonder as synthetic bacteria grew and split into daughter cells. The bacteria’s extremely stripped-down genome still supported its entire life cycle. It was a ...