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Stanford data scientists have shown that figuring out a single number can help them find the most dangerous cancer cells.

Stanford researchers have uncovered how a genetic mutation contributes to a heart disease known as familial dilated cardiomyopathy. Existing drugs correct the defect in heart cells grown in a petri dish, suggesting a new therapeutic target.

Stanford researchers have found a way to predict who will suffer heart problems from a common breast-cancer drug, as well as identified an FDA-approved medication that could mitigate those side effects.

An antibody to a protein on blood-forming stem cells may allow bone marrow transplants without the need for chemotherapy and radiation, according to a Stanford study.

The researchers found that by testing for fragments of cancer DNA in urine, they could find the cancer in early stages of development, when it’s easier to treat.

The report finds a rapid increase in the volume and utility of health-related data, creating an opportunity to democratize health care.

Changes in circulating tumor DNA levels quickly predict how patients with diffuse large B cell lymphoma are responding to therapy, according to a Stanford-led study. Currently, patients wait months for the results.

A new genetic screen may be able to predict low bone-mineral density, osteoporosis and fracture risk prior to clinical symptoms, according to a retrospective study of nearly 400,000 people by a Stanford researcher.

Scientists at Stanford used the wire to capture free-floating tumor cells in the blood, a technique that soon could be used in humans to yield an earlier cancer diagnosis.

Stanford researchers used genetic-editing tools and stem cell technology to uncover whether a genetic mutation linked to a heart rhythm disorder was benign or pathogenic.