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Influence of Digital Intervention Messaging on Influenza Vaccination Rates Among Adults With Cardiovascular Disease in the United States: A Decentralized Randomized Clinical Trial
Nell J. Marshall, Jennifer L. Lee, Jessica Schroeder, Wei-Nchih Lee, Jermyn See, Mohammad Madjid, Mrudula R. Munagala, John D. Piette, Litjen Tan, Orly Vardeny, Michael Greenberg, Jan Liska, Monica Mercer, Sandrine Samson
Influence of Digital Intervention Messaging on Influenza Vaccination Rates Among Adults With Cardiovascular Disease in the United States: A Decentralized Randomized Clinical Trial
Nell J. Marshall, Jennifer L. Lee, Jessica Schroeder, Wei-Nchih Lee, Jermyn See, Mohammad Madjid, Mrudula R. Munagala, John D. Piette, Litjen Tan, Orly Vardeny, Michael Greenberg, Jan Liska, Monica Mercer, Sandrine Samson
Direct Connection - New Insights: Heart Health on Evidation
In collaboration with the American College of Cardiology (ACC), Evidation is conducting a nationwide initiative focusing on the lived experience of individuals with heart failure beyond the clinic walls.
Direct Connection - New Insights: Heart Health on Evidation
In collaboration with the American College of Cardiology (ACC), Evidation is conducting a nationwide initiative focusing on the lived experience of individuals with heart failure beyond the clinic walls.
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.
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.
Cognitive Digital Biomarkers from Automated Transcription of Spoken Language
N. Tavabi, D. Stück, A. Signorini, C. Karjadi, T. Al Hanai, M. Sandoval, C. Lemke, J. Glass, S. Hardy, M. Lavallee, B. Wasserman, T. F. A. Ang, C. M. Nowak, R. Kainkaryam, L. Foschini & Rhoda Au
Evidation research reveals that the use of voice-based digital biomarkers might be a valuable tool in detecting and differentiating mild cognitive impairment and dementia
Cognitive Digital Biomarkers from Automated Transcription of Spoken Language
N. Tavabi, D. Stück, A. Signorini, C. Karjadi, T. Al Hanai, M. Sandoval, C. Lemke, J. Glass, S. Hardy, M. Lavallee, B. Wasserman, T. F. A. Ang, C. M. Nowak, R. Kainkaryam, L. Foschini & Rhoda Au
Evidation research reveals that the use of voice-based digital biomarkers might be a valuable tool in detecting and differentiating mild cognitive impairment and dementia
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