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Characterization of Influenza-Like Illness Burden Using Commercial Wearable Sensor Data and Patient-Reported Outcomes: Mixed Methods Cohort Study
Victoria Hunter, Allison Shapiro, Devika Chawla, Faye Drawnel, Ernesto Ramirez, Elizabeth Phillips, Sara Tadesse-Bell, Luca Foschini, Vincent Ukachukwu
Characterization of Influenza-Like Illness Burden Using Commercial Wearable Sensor Data and Patient-Reported Outcomes: Mixed Methods Cohort Study
Victoria Hunter, Allison Shapiro, Devika Chawla, Faye Drawnel, Ernesto Ramirez, Elizabeth Phillips, Sara Tadesse-Bell, Luca Foschini, Vincent Ukachukwu
Supporting whole person care: the power of longitudinal patient-provided real-world data
Read key takeaways from Evidation's webinar, "Using longitudinal RWD to boost activation along the patient journey," featuring speakers from Evidation, Veterans Affairs, and Myovant Sciences.
Supporting whole person care: the power of longitudinal patient-provided real-world data
Read key takeaways from Evidation's webinar, "Using longitudinal RWD to boost activation along the patient journey," featuring speakers from Evidation, Veterans Affairs, and Myovant Sciences.
Machine Learning COVID-19 Detection from Wearables
Bret Nestor, Jaryd Hunter, Raghu Kainkaryam, Erik Drysdale, Jeffrey B Inglis, Allison Shapiro, Sujay Nagaraj, Marzyeh Ghassemi, Luca Foschini, Anna Goldenberg
Evidation research looks into which criteria must be met before a study can claim reasonable COVID-19 detection performance using data from wearable devices.
Machine Learning COVID-19 Detection from Wearables
Bret Nestor, Jaryd Hunter, Raghu Kainkaryam, Erik Drysdale, Jeffrey B Inglis, Allison Shapiro, Sujay Nagaraj, Marzyeh Ghassemi, Luca Foschini, Anna Goldenberg
Evidation research looks into which criteria must be met before a study can claim reasonable COVID-19 detection performance using data from wearable devices.
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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.
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
Mezlini A, Caddigan E, Shapiro A, Ramirez E, Kondow-McConaghy H, Yang J, DeMarco K, Naraghi-Arani P, Foschini L
Evidation describes an approach for reducing recruiting time and resources in a COVID-19 study by targeting recruitment to high-risk individuals.
Precision Recruitment for High-Risk Participants in a COVID-19 Cohort Study
Mezlini A, Caddigan E, Shapiro A, Ramirez E, Kondow-McConaghy H, Yang J, DeMarco K, Naraghi-Arani P, Foschini L
Evidation describes an approach for reducing recruiting time and resources in a COVID-19 study by targeting recruitment to high-risk individuals.
Direct Connection: Save the date: March 22
People now play a more active role in their own health—but too often don’t know about relevant care and resources. Relying on traditional data and segmentation means healthcare companies lack critical insights to engage the right patients at the right time in clinically meaningful ways.
Direct Connection: Save the date: March 22
People now play a more active role in their own health—but too often don’t know about relevant care and resources. Relying on traditional data and segmentation means healthcare companies lack critical insights to engage the right patients at the right time in clinically meaningful ways.
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.
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.
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
Ritika R. Chaturvedi, Marco Angrisani, Wendy M. Troxel, Tania Gutsche, Eva Ortega, Monika Jain, Adrien Boch & Arie Kapteyn
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.
American Life in Realtime: A Benchmark Registry of Health Data for Equitable Precision Health
Ritika R. Chaturvedi, Marco Angrisani, Wendy M. Troxel, Tania Gutsche, Eva Ortega, Monika Jain, Adrien Boch & Arie Kapteyn
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.
Predictors of Seeking Care for Influenza-Like Illness in a Novel Digital Study
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 conducted a study that used person-generated health data (PGHD) to identify factors associated with seeking care for ILI.
Predictors of Seeking Care for Influenza-Like Illness in a Novel Digital Study
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 conducted a study that used person-generated health data (PGHD) to identify factors associated with seeking care for ILI.
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