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Clario publishes roadmap for using artificial intelligence (AI) to improve patients experience in decentralized clinical trials (DCTs)

Clario publishes roadmap for using artificial intelligence (AI) to improve patients experience in decentralized clinical trials (DCTs)
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Study: Wearables devices can predict health measuresments like a blood test

by Michela Kane May 25, 2021 . DURHAM – Smartwatches and other wearable devices may be used to sense illness, dehydration and even changes to the red blood cell count, according to biomedical engineers and genomics researchers at Duke University and the Stanford University School of Medicine. The researchers say that, with the help of machine learning, wearable device data on heart rate, body temperature and daily activities may be used to predict health measurements that are typically observed during a clinical blood test. The study appears in Nature Medicine on May 24, 2021. During a doctor’s office visit, a medical worker usually measures a patient’s vital signs, including their height, weight, temperature and blood pressure. Although this information is filed away in a person’s long-term health record, it isn’t usually used to create a diagnosis. Instead, physicians will order a clinical lab, which tests a patient’s urine or blood, to gather specific biological

Daniel wittScott delpAmir bahmaniJennifer hicksSophia miryam roseSophia miryamSchussler fiorenza roseRyan rungeMichael snyderJessilyn dunnXiao liLukasz kidzinskiTrevor hastieStanford translational research integrated database environmentCareer development awardStanford university school of medicine

Data from smartwatches can help predict clinical blood test results

E-Mail Credit: Michaela Kane, Duke University DURHAM, N.C. Smartwatches and other wearable devices may be used to sense illness, dehydration and even changes to the red blood cell count, according to biomedical engineers and genomics researchers at Duke University and the Stanford University School of Medicine. The researchers say that, with the help of machine learning, wearable device data on heart rate, body temperature and daily activities may be used to predict health measurements that are typically observed during a clinical blood test. The study appears in Nature Medicine on May 24, 2021. During a doctor s office visit, a medical worker usually measures a patient s vital signs, including their height, weight, temperature and blood pressure. Although this information is filed away in a person s long-term health record, it isn t usually used to create a diagnosis. Instead, physicians will order a clinical lab, which tests a patient s urine or blood, to gather specific

Daniel wittScott delpAmir bahmaniJennifer hicksDuke jessilyn dunnSophia miryam roseSophia miryamSchussler fiorenza roseRyan rungeMichael snyderJessilyn dunnXiao liLukasz kidzinskiTrevor hastieStanford translational research integrated database environmentCareer development award