Search Results

Using machine learning, Stanford Medicine scientists and their colleagues have found hundreds of genes that could play a role in amyotrophic lateral sclerosis.

EcoTyper is an algorithm that can sort out cell “ecotypes” — distinct multicellular communities — that exist in many different kinds of cancer.

A Stanford Medicine team used human stem cells to assemble a working nerve circuit connecting brain tissue to muscle tissue. The research could enable scientists to better understand neurological disorders that affect movement.

Motivated by the loss of a patient, a doctor leads a research effort to uncover the molecular mechanisms of hemochromatosis in the heart.

Hongjie Dai, Julie Parsonnet and Joseph Wu are among the 90 regular members and 10 international members elected this year to the academy, which aims to provide independent, scientifically informed analysis and recommendations on health issues.

Stanford researchers have developed a computational platform for analyzing the molecular behavior of individual cells in tissue samples, opening the door for new discoveries, diagnostics and treatments.

Targeting backup biological pathways often used by cancers can lead to more efficient drug development and less-toxic therapies. Stanford researchers have developed a new way to identify these pathways.

Stanford engineers and neurosurgeons have worked together to develop an experimental technology that could one day allow people with paralysis to affect the world around them using only their minds.