Search Results
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Single number IDs deadly cancer cells
Stanford data scientists have shown that figuring out a single number can help them find the most dangerous cancer cells.
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Possible drug target for cardiomyopathy
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.
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Discovery could limit toxic effect of chemo
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.
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Gentler pre-transplant treatment with antibody
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.
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Urine test for bladder cancer
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.
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Stanford Medicine’s 2018 Health Trends Report
The report finds a rapid increase in the volume and utility of health-related data, creating an opportunity to democratize health care.
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Test predicts lymphoma therapy success
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.
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Genetic screen predicts osteoporosis risk
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.
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How a magnetized wire attracts tumor cells
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.
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Study solves mystery of genetic mutation
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.