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Evidation Launches FluSmart, A Direct-to-Person Digital Flu Monitoring Program, To Better Understand Flu in Everyday Life
Evidation Launches FluSmart, A Direct-to-Person Digital Flu Monitoring Program, To Better Understand Flu in Everyday Life
Direct Connection: Creating Competitive Advantage: Privacy and Security by Design in mHealth and Digital Health Products
The COVID-19 pandemic has led to unprecedented adoption of digital health tools in healthcare delivery, which has coincided with consumers’ increased engagement in their personal health and embrace of digital health products in their everyday life.
Direct Connection: Creating Competitive Advantage: Privacy and Security by Design in mHealth and Digital Health Products
The COVID-19 pandemic has led to unprecedented adoption of digital health tools in healthcare delivery, which has coincided with consumers’ increased engagement in their personal health and embrace of digital health products in their everyday life.
Individuals Diagnosed with Breast Cancer or in Remission Self-Report QoL
Person-generated health data (PGHD) shows promise in detecting cognitive impairment & informing therapies.
Individuals Diagnosed with Breast Cancer or in Remission Self-Report QoL
Person-generated health data (PGHD) shows promise in detecting cognitive impairment & informing therapies.
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COVID-19 Real-World Evidence Primer
Amy Cavet; Claire Cravero, MPH; Aaron Galaznik, MD; Bray Patrick-Lake, MFS; Aniketh Talwai
Evidation contributed to this online resource consisting of seven chapters that cover types of RWD, methods in RWE generation, examples of RWE studies, and more.
COVID-19 Real-World Evidence Primer
Amy Cavet; Claire Cravero, MPH; Aaron Galaznik, MD; Bray Patrick-Lake, MFS; Aniketh Talwai
Evidation contributed to this online resource consisting of seven chapters that cover types of RWD, methods in RWE generation, examples of RWE studies, and more.
The Case for Multimodal Data Capture: Deeper Insights and Increased Prediction Accuracy
In July 2021, Evidation participated in an IEEE EMBS workshop that explored how machine learning can convert data into measures for both disease detection and overall quality of life. The key takeaways are presented in this article.
The Case for Multimodal Data Capture: Deeper Insights and Increased Prediction Accuracy
In July 2021, Evidation participated in an IEEE EMBS workshop that explored how machine learning can convert data into measures for both disease detection and overall quality of life. The key takeaways are presented in this article.
What Possibly Affects Nighttime Heart Rate? Conclusions from N-of-1 Observational Data
Igor Matias, Eric J. Daza, Katarzyna Wac
Evidation's Lead Biostatistician, Eric J. Daza, worked with the Quality of Life Technology Lab to conduct an n-of-1 study using the MoTR method to evaluate the suggested effects of daily stressors on nighttime heart rate, sleep time, and physical activity in an individualized way.
What Possibly Affects Nighttime Heart Rate? Conclusions from N-of-1 Observational Data
Igor Matias, Eric J. Daza, Katarzyna Wac
Evidation's Lead Biostatistician, Eric J. Daza, worked with the Quality of Life Technology Lab to conduct an n-of-1 study using the MoTR method to evaluate the suggested effects of daily stressors on nighttime heart rate, sleep time, and physical activity in an individualized way.
Model-Twin Randomization (MoTR): A Monte Carlo Method for Estimating the Within-Individual Average Treatment Effect Using Wearable Sensors
Eric J. Daza, Logan Schneider
In this academic preprint, the model twin randomization (MoTR; "motor") method for analyzing possible causes and effects an individual's intensive longitudinal data is introduced.
Model-Twin Randomization (MoTR): A Monte Carlo Method for Estimating the Within-Individual Average Treatment Effect Using Wearable Sensors
Eric J. Daza, Logan Schneider
In this academic preprint, the model twin randomization (MoTR; "motor") method for analyzing possible causes and effects an individual's intensive longitudinal data is introduced.
How Can We Optimise Health Technology Assessment and Reimbursement Decisions to Accelerate Access to New Cardiovascular Medicines?
Martin R. Cowie, Biykem Bozkurt, Javed Butler, Andrew Briggs, Maria Kubin, Adrian Jonas, Amanda I. Adler, Bray Patrick-Lake, Faiez Zannad
This paper builds on discussions among clinical trialists, industry representatives, regulators, and patients, which took place at the 17th Global Cardiovascular Clinical Trialists (CVCT) Forum in December 2020.
How Can We Optimise Health Technology Assessment and Reimbursement Decisions to Accelerate Access to New Cardiovascular Medicines?
Martin R. Cowie, Biykem Bozkurt, Javed Butler, Andrew Briggs, Maria Kubin, Adrian Jonas, Amanda I. Adler, Bray Patrick-Lake, Faiez Zannad
This paper builds on discussions among clinical trialists, industry representatives, regulators, and patients, which took place at the 17th Global Cardiovascular Clinical Trialists (CVCT) Forum in December 2020.
Aligning Shared Evidentiary Needs Among Payers and Regulators for a Real-World Data Ecosystem
Rebecca Ray, Trevan Locke, Rachele Hendricks-Sturrup
In the face of rapid innovation, a strong need exists for improved evidence generation capabilities to answer critical questions faced by regulators and payers. Systematically collecting real-world data to generate real-world evidence may provide the means to supplement the evidence available for newly approved novel therapies.
Aligning Shared Evidentiary Needs Among Payers and Regulators for a Real-World Data Ecosystem
Rebecca Ray, Trevan Locke, Rachele Hendricks-Sturrup
In the face of rapid innovation, a strong need exists for improved evidence generation capabilities to answer critical questions faced by regulators and payers. Systematically collecting real-world data to generate real-world evidence may provide the means to supplement the evidence available for newly approved novel therapies.
Boston University, Evidation publish study on voice as a digital marker in detection of Alzheimer’s Disease
Evidation researchers, alongside researchers at Boston University School of Medicine, have announced the publication of study results that examine the use of voice recordings and transcripts as potential diagnostic tools for Alzheimer's Disease.
Boston University, Evidation publish study on voice as a digital marker in detection of Alzheimer’s Disease
Evidation researchers, alongside researchers at Boston University School of Medicine, have announced the publication of study results that examine the use of voice recordings and transcripts as potential diagnostic tools for Alzheimer's Disease.
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