A tumor metabolome panel identifies altered cell states that lead to drug tolerance.

Meet some of the people featured in the July/August 2019 issue of The Scientist.

Not only can artificial intelligence revolutionize healthcare, it could help restore the doctor-patient relationship.

The three-dimensional cell cultures are still in the development phase, but researchers are excited about their use to predict patients’ responses to various treatment options.

Eric Topol, founder and director of Scripps Research Translational Institute and Reading Frames author, discusses the future of the doctor-patient bond in an era of artificial intelligence–driven medicine.

This month’s Profilee, Dana-Farber Cancer Institute researcher Stuart Orkin, talks about treating kids with cancer and other blood disorders.

Comparing the cells of cancer patients who did and did not respond to the immunotherapy could reveal biomarkers to predict who should receive it in the first place.

The expression of a slew of genes in psychiatric patients closely tracks pain intensity and predicts future emergency room visits, according to a study.

See how a computational pipeline uses next-generation sequencing data to identify genetic alterations that produce cancer-specific antigens.