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AI Provides Prognostic Data for Cancer Patients

Although it has long been known that predicting outcomes in cancer patients necessitates taking into account a variety of characteristics, including patient history, genes, and disease pathology, doctors find it difficult to combine this data when making decisions regarding patient care.
Faisal Mahmood Richard Chen National Cancer Institute Division Of Computational Pathology Google Cloud Research Grant National Science Foundation

Researchers Use AI to Detect Organ Transplant Rejection

Patients with end-stage heart failure may benefit from a heart transplant. Many patients, unfortunately, suffer from organ transplant rejection, which occurs when the immune system destroys the donated organ. However, diagnosing transplant rejection is difficult.
United States Faisal Mahmood Department Of Pathology At Brigham National Institutes Of Health Google Cloud Research Grant Harvard Medical School

Heart-Saving AI

  Heart transplantation can be lifesaving for patients with end-stage heart failure. However, many patients experience organ transplant rejection, in which the immune system attacks the transplanted organ. But detecting transplant rejection is challenging. In its early stages, patients may not experience symptoms, and experts do not always agree on the degree and severity of the rejection when they examine heart biopsies to diagnose the problem.
United States Faisal Mahmood Department Of Pathology At Brigham National Institutes Of Health Google Cloud Research Grant Harvard Medical School

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