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The Lancet. Digital Health|August 30, 2024
The potential for large language models to transform cardiovascular medicineGiorgio Quer, Eric J TopolNature Biotechnology|June 21, 2022
Smartphone apps in the COVID-19 pandemicJay A Pandit, Jennifer M Radin, Giorgio Quer, et al.Computer|November 21, 2019
On the Effectiveness of Deep Representation Learning: the Atrial Fibrillation CaseMatteo Gadaleta, Michele Rossi, Eric J Topol, et al.Plos One|February 6, 2020
Inter- and intraindividual variability in daily resting heart rate and its associations with age, sex, sleep, BMI, and time of year: Retrospective, longitudinal cohort study of 92,457 adultsGiorgio Quer, Pishoy Gouda, Michael Galarnyk, et al.NPJ Digital Medicine|August 1, 2024
AI-enhanced reconstruction of the 12-lead electrocardiogram via 3-leads with accurate clinical assessmentFederico Mason, Amitabh C Pandey, Matteo Gadaleta, et al.Medrxiv : the Preprint Server for Health Sciences|February 14, 2024
AI-Enhanced Reconstruction of the 12-Lead Electrocardiogram via 3-Leads with Accurate Clinical AssessmentFederico Mason, Amitabh C Pandey, Matteo Gadaleta, et al.IEEE Journal of Biomedical and Health Informatics|July 11, 2018
Home Monitoring of Blood Pressure: Short-Term Changes During Serial Measurements for 56398 SubjectsGiorgio Quer, Nima Nikzad, Angela Chieh, et al.NPJ Digital Medicine|December 9, 2021
Passive detection of COVID-19 with wearable sensors and explainable machine learning algorithmsMatteo Gadaleta, Jennifer M Radin, Katie Baca-Motes, et al.American Journal of Hypertension|January 25, 2018
Real World Home Blood Pressure Variability in Over 56,000 Individuals With Nearly 17 Million MeasurementsKwang-Il Kim, Nima Nikzad, Giorgio Quer, et al.NPJ Digital Medicine|April 20, 2022
Inter-individual variation in objective measure of reactogenicity following COVID-19 vaccination via smartwatches and fitness bandsGiorgio Quer, Matteo Gadaleta, Jennifer M Radin, et al.Pageof 46