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

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 ...

For the first time, a stem cell model has produced a structure resembling an early human embryo with a yolk-sac-like ...

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

The advent of single-cell omics technologies has revolutionized our understanding of the complex cellular landscape in cancer. Traditional bulk sequencing ...

The scSurv is a method that deconvolutes bulk RNA-seq data into individual single cells using scRNA-seq data and performs survival analysis with an extended Cox proportional hazards model. This ...

In this webinar, Zivjena Vucetic will discuss how single-cell sequencing improves measurable residual disease detection (MRD) ...

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 ...

Researchers from King's College London and the University of Surrey have developed a new technique to measure the content of individual human cells infected with bacteria that model tuberculosis—and ...

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 ...