Psychology & Psychiatry

Smartphone data helps predict schizophrenia relapses

Passive data from smartphones—including movement, ambient sound and sleep patterns—can help predict episodes of schizophrenic relapse, according to new Cornell Tech research.

Oncology & Cancer

Scientists trace genomic evolution of high-risk leukemia

By genomic sequencing of leukemia cells from relapsed patients at different stages, scientists have discovered key details of how acute lymphoblastic leukemia (ALL) cells mutate to survive chemotherapy. These mutations enable ...

Psychology & Psychiatry

Brain patterns may help predict relapse risk for alcoholism

(Medical Xpress)—Distinct patterns of brain activity are linked to greater rates of relapse among alcohol dependent patients in early recovery, a study has found. The research, supported by the National Institutes of Health, ...

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