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Increasing treatment rates with co-created patient engagement
Increasing treatment rates with co-created patient engagement
Increasing treatment rates with co-created patient engagement

Increasing treatment rates with co-created patient engagement
Read this case study to learn how Evidation increased vaccination rates through customized messages and content.

pharmaphorum Podcast
pharmaphorum Podcast
pharmaphorum Podcast
pharmaphorum Podcast
Hear more about Evidation's founding story and platform from our Executive Chair of the Board, Deb Kilpatrick in this episode of the pharmaphorum podcast.

Supporting whole person care: the power of longitudinal patient-provided real-world data
Supporting whole person care: the power of longitudinal patient-provided real-world data
Supporting whole person care: the power of longitudinal patient-provided real-world data

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.

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

Machine learning COVID-19 detection from wearables
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
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
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

Using longitudinal RWD to boost activation along the patient journey
Using longitudinal RWD to boost activation along the patient journey
Using longitudinal RWD to boost activation along the patient journey
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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.

Precision recruitment for high-risk participants in a COVID-19 cohort study
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
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
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 enables rapid recruitment and enrollment for Veterans heart health program
Evidation enables rapid recruitment and enrollment for Veterans heart health program

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
AWS Health Innovation Podcast
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
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
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
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

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