Resources

Machine learning COVID-19 detection from wearables

Evidation research looks into which criteria must be met before a study can claim reasonable COVID-19 detection performance using data from wearable devices.

Bret Nestor, Jaryd Hunter, Raghu Kainkaryam, Erik Drysdale, Jeffrey B Inglis, Allison Shapiro, Sujay Nagaraj, Marzyeh Ghassemi, Luca Foschini, Anna Goldenberg

Characterization of influenza-like Illness burden using commercial wearable sensor data and patient-reported outcomes: Mixed methods cohort study

Evidation research aimed to characterize the burden of influenza-like illness using commercial wearable sensor data and investigate the extent to which these data correlate with self-reported illness severity and duration.

Victoria Hunter, Allison Shapiro, Devika Chawla, Faye Drawnel, Ernesto Ramirez, Elizabeth Phillips, Sara Tadesse-Bell, Luca Foschini, Vincent Ukachukwu

Using longitudinal RWD to boost activation along the patient journey

People now play a more active role in their own health—but too often don’t know about relevant care and resources.

Precision recruitment for high-risk participants in a COVID-19 cohort study

Evidation describes an approach for reducing recruiting time and resources in a COVID-19 study by targeting recruitment to high-risk individuals.

Mezlini A, Caddigan E, Shapiro A, Ramirez E, Kondow-McConaghy H, Yang J, DeMarco K, Naraghi-Arani P, Foschini L

Evidation enables rapid recruitment and enrollment for Veterans heart health program

Evidation, alongside key partners, will present findings from a Veterans heart health program at the American College of Cardiology's Annual Scientific Session & Expo.

AWS Health Innovation Podcast

Hear more about Evidation's founding story from Co-Founder and Chief Technology Officer, Alessio Signorini, in this episode of the AWS Health Innovation Podcast.

American Life in Realtime: A benchmark registry of health data for equitable precision health

ALiR, funded by a grant from the NIH, is a first-of-its-kind, publicly available benchmark registry and research infrastructure for person-generated health data collected from smartphones and wearables, made possible by Evidation.

Ritika R. Chaturvedi, Marco Angrisani, Wendy M. Troxel, Tania Gutsche, Eva Ortega, Monika Jain, Adrien Boch & Arie Kapteyn

Evidation and Duke Big Ideas Lab partner to boost participation and increase equity in digital health research

Evidation and Duke Big Ideas Lab announce a partnership with the goal of increasing diversity and representation in digital health studies

Predictors of seeking care for influenza-like illness in a novel digital study

Evidation conducted a study that used person-generated health data (PGHD) to identify factors associated with seeking care for ILI.

Devika Chawla, Alejandra Benitez, Hao Xu, Victoria Whitehill, Sara Tadesse-Bell, Allison Shapiro, Ernesto Ramirez, Kelly Scherer, Luca Foschini, Faye Drawnel, Barry Clinch, Marco Prunotto, Vincent Ukachukwu

Evidation launches FluSmart, a direct-to-person digital flu monitoring program, to better understand flu in everyday life

Evidation announces the launch of FluSmart, a direct-to-person digital flu monitoring program hosted on the Evidation platform.