Articles

T cells that react to a Parkinson’s disease-linked protein have an early, unique, and detectable gene signature.

Chemical biologist Stefano Tiziani uses metabolomics to identify new combination cancer treatments and to predict which patients will respond best to chemotherapy.

A biotech start-up teamed up with technology giants like Apple to continuously monitor people with Parkinson’s disease so that they could personalize their treatments in the clinic and the lab.

Many potential treatments for Alzheimer’s disease have been found using mouse models, but they often don’t translate well to humans. Will organoids provide the answers that neuroscientists need to develop new treatments?

Researchers developed a carbon nanotube-based sensor paired with a machine learning algorithm to diagnose ovarian cancer with better specificity and sensitivity than current methods.

A new heart-on-a-chip gives scientists an up-close look at the beating human heart from the comfort of their lab benches.

Armed with a machine learning and systems biology approach, John Tsang studies how past infections and vaccinations shape an individual’s immune response to future vaccines.

An obesity medicine clinician researcher propels a growing movement to normalize obesity as a disease that requires long-term treatment.

A recent effort to sequence the entire human genome also revealed how it can be modified.

Entomologists and computer engineers developed a novel imaging method for analyzing gene expression in live brains.