Jonathan James

The combination of genome-scale CRISPR experiments and powerful computational approaches has created a Cancer Dependency Map

A neural network called STORK can predict embryo quality with over 90 percent accuracy, offering fresh hope for successful in vitro fertilization.

An algorithm originally developed for Netflix shows promise to improve the diagnostic applications of Raman spectroscopy.

Higher tumor mutational burden is linked to improved survival across multiple cancer types.

Michael Tanner discusses new fiber-optic technology and how it can be applied to disease diagnosis in the lung and other organs.

The transcriptome of circulating neutrophils may contain a signature that allows the early detection of intracranial aneurysms via blood test

Combining metabolomics and DNA sequencing could be the key to discovering new inborn errors of metabolism in children.

Prostate cancer prognosis presents a challenge – but a new algorithmic tool may help personalize predictions

A new tool in the pathologist’s arsenal might facilitate 3D imaging of tissues and organs