White women who experience early menopause are three times more likely to also experience heart trouble at a younger age
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Machine learning that predicts anti-cancer drug efficacy
With the advent of pharmacogenomics, machine learning research is well underway to predict patients’ drug response that varies by individual
Continue reading »Poor cognitive performance predicts impairment in activities of daily living years later
Subtle differences in cognition may help identify individuals at risk for becoming dependent years later upon others to complete daily
Continue reading »Viral load predicts mortality rate in hospitalized patients with cancer and COVID-19
Higher viral loads are associated with a greater risk of death among cancer and non-cancer patients hospitalized with coronavirus disease
Continue reading »Midlife blood pressure during exercise predicts later heart disease
(HealthDay)—Higher blood pressure (BP) during exercise and impaired BP recovery after exercise in midlife may be markers of subclinical and
Continue reading »Inflammation predicts response to antidepression medication
Children and teens with bipolar depression responded better to an antipsychotic medicine if they had increased markers of inflammation in
Continue reading »Cerebral reperfusion of reading network predicts recovery of reading ability after stroke
A team of New Jersey stroke researchers has linked recovery of reading and language competence with cerebral blood flow in
Continue reading »Brain activity predicts fear of pain
Researchers applied a machine learning technique that could potentially translate patterns of activity in fear-processing brain regions into scores on
Continue reading »High HbA1c after T1DM diagnosis predicts psychiatric comorbidity
(HealthDay)—High average glycated hemoglobin (HbA1c) levels during the first two years after type 1 diabetes onset predict higher risk for
Continue reading »AI accurately predicts effects of genetic mutations in biological dark matter
A new machine learning framework, dubbed ExPecto, can predict the effects of genetic mutations in the so-called “dark matter” regions
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