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Could wearables capture well-being?

Could wearables capture well-being?
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New yorkUnited statesRobertp hirtenMatteo danielletoSparshdeep kaurDennis charneyGirishn nadkamiMaria suprunZahi fayadLaurie keeferMicol zweigAnthony bielloMayte suarez farinasImaging institute at icahn mount sinaiHasso plattner institute for digital healthNational institutes of health

Could Wearables Capture Well-being? Devices may be a means to monitor psychological states through effortless data collection using artificial intelligence

New York, NY (PRWEB) May 02, 2023 New York, NY (May 2, 2023) Applying machine learning models, a type of artificial intelligence (AI), to data collected

East harlemNew yorkUnited statesNew providenceDennis charneyMicol zweigMayte suarez farinasMaria suprunLaurie keeferSparshdeep kaurAnthony bielloMatteo danielletoRobertp hirtenGirishn nadkamiZahi fayadMount sinai health system

Could wearables capture well-being? Devices may be a means to monitor psychological states through effortless data collection using artificial intelligence

Could wearables capture well-being? Devices may be a means to monitor psychological states through effortless data collection using artificial intelligence
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New yorkUnited statesSparshdeep kaurMayte suarez farinasLaurie keeferMaria suprunRobertp hirtenMatteo danielletoGirishn nadkamiDennis charneyAnthony bielloZahi fayadMicol zweigHasso plattner institute for digital healthHenryd janowitz division of gastroenterologyNational institutes of health

Predicting COVID-19 Severity: Researchers Look to Fill Diagnostic Gap, Match Patients with Treatments

Predicting COVID-19 Severity: Researchers Look to Fill Diagnostic Gap, Match Patients with Treatments
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New yorkUnited statesPaul nicolausKathleenc barnesGirish nadkarniInfinium methylationDivision of dataUniversity of colorado anschutz medical campusMount sinai clinical intelligence centerUniversity of coloradoIcahn school of medicine at mount sinaiCommunications medicineJournal of the american medical informatics associationHasso plattner institute for digital healthMount sinaiAmerican medical informatics association

Researchers Delineate Novel Covid Subgroups in Critically Ill Patients

Mount Sinai researchers have delineated four new subgroups of COVID-19 that can be identified in patients within 24 hours of admission to the

Girishn nadkarniArthurm fishbergMount sinai clinical intelligence centerDivision of dataIcahn school of medicine at mount sinaiNational institutes of healthNadkarni lab at icahn mount sinaiHasso plattner institute for digital healthMount sinaiAmerican medical informatics associationDigital medicineClinical directorHasso plattner instituteDigital healthIcahn schoolNadkarni lab