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Article ID: 714347

Collecting DNA samples for human genetic studies can be an expensive, lengthy process that has often made it difficult to include diverse populations in studies of medical and health data.

Article ID: 714260

RB1 status has emerged not only as a key factor in cancer development and progression, but also as a crucial determinant of cell fate in response to various anticancer treatments

Article ID: 714165

Machine learning has the potential to vastly advance medical imaging, particularly computerized tomography (CT) scanning, by reducing radiation exposure and improving image quality.

Article ID: 714038

Scientists can't make a living copy of your brain outside your body. That's the stuff of science fiction. But in a new study, they recreated a critical brain component, the blood-brain barrier, that functioned as it would in the individual who provided the cells to make it.

Article ID: 713572

Johns Hopkins inHealth, Johns Hopkins Medicine’s precision medicine effort to tailor health care to the needs of individual patients, is convening nearly two dozen experts from across the nation for a one-day research symposium that will explore ways to improve patient care through precision medicine approaches.

Article ID: 711700

University of California San Diego School of Medicine researchers found that treating patients with personalized precision medicine that combined therapies to target multiple alterations improved outcomes in patients with therapy resistant cancers.

Article ID: 710566

Michael Snyder, PhD, of Stanford University is the recipient of the 2019 Genetics Society of America (GSA) George W. Beadle Award for developing and disseminating widely-used technology for the simultaneous analysis of thousands of genes, RNA molecules, and proteins. The Beadle Award recognizes significant, sustained service to the genetics community that goes beyond an exemplary individual research career.

Article ID: 710186

Combining a wealth of information derived from previous studies with data from more than 500 patients, an international team led by researchers from Johns Hopkins has developed a computer-based set of rules that more accurately predicts when patients with a rare heart condition might benefit—or not—from lifesaving implanted defibrillators.

Article ID: 709955

A global biobank analysis reveals nearly 70 percent of studied genomic data are derived from those of European descent

Article ID: 709891

Findings published in the Journal of Clinical Oncology could help define strategies to more effectively treat colorectal cancer, the second leading cause of cancer death in the United States.