big data

A novel atlas reveals region-specific links between structural, mechanical, and genetic properties within the heart.

Tumors contain thousands of genetic changes, but only a few are actually cancer-causing. A quicker way to identify these driver mutations could lead to more targeted cancer treatments.

The largest study of its kind identifies single nucleotide polymorphisms with disparate effects on men’s and women’s susceptibility to conditions such as bipolar disorder and schizophrenia.

The network effect can improve the ways that biomedical researchers collaborate.

Thomas Stoeger of Northwestern University has previously studied scientists’ limited focus on certain genes. In a new study, he shows how these same behaviors extend into the science of COVID-19.

Gamze Gursoy and Mark Gerstein of Yale Medical School have developed a strategy for stripping identifying variants from functional genomic data, balancing privacy with utility.

Environmental engineer Gil Bohrer discusses how long-term, large-scale tracking data can shed light on the unexpected ways animals are responding to changes in the Arctic.

A new study finds reductions in greenhouse gases are insufficient to substantially slow warming, and the authors argue that to continue the benefits of reduced emissions, policymakers will need to adopt green economic recovery strategies.

Researchers try unprecedented data sharing and cooperation to understand COVID-19—and develop a model for diseases beyond the coronavirus pandemic.

By revealing that animals could develop immune responses against their own tissues, the physician-scientist established an entirely new field of science.

Digital biomarkers of cognitive decline could alert us to the early stages of dementia before irreversible damage occurs.

Agronomic sciences should follow the lead of genetics and other disciplines in sharing data.

The chief scientist at the NSF initiative quits after two leaders were let go without her input.

Companies are building platforms based on blockchain technology to let individuals control and directly profit from their genomic and medical information.

Big data and empirical approaches to understanding diseases provide a limited picture of pathogenesis.

Luna DNA, Nebula Genomics, and other “bio-brokers” will allow customers to make money by granting access to their genetic and personal information for research purposes.