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Stanford Medicine researchers find that using in vitro fertilization with testing embryos for inherited diseases would significantly reduce costs.

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.

Using in-game win probability techniques, Stanford researchers devised a way to better predict a cancer patient’s outcome at any point during treatment. The approach could also inform treatment decisions.

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.

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.

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.

In mice, a fatal brainstem tumor was cleared by injecting it with engineered T cells that recognized the cancer and targeted it for destruction. The Stanford discovery is moving to human trials.