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Individuals diagnosed with breast cancer or in remission self-report QoL
Individuals diagnosed with breast cancer or in remission self-report QoL
Individuals diagnosed with breast cancer or in remission self-report QoL
Individuals diagnosed with breast cancer or in remission self-report QoL
Person-generated health data (PGHD) shows promise in detecting cognitive impairment & informing therapies.
COVID-19 real-world evidence primer
COVID-19 real-world evidence primer
Amy Cavet; Claire Cravero, MPH; Aaron Galaznik, MD; Bray Patrick-Lake, MFS; Aniketh Talwai
COVID-19 real-world evidence primer
Amy Cavet; Claire Cravero, MPH; Aaron Galaznik, MD; Bray Patrick-Lake, MFS; Aniketh Talwai
COVID-19 real-world evidence primer
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.
Amy Cavet; Claire Cravero, MPH; Aaron Galaznik, MD; Bray Patrick-Lake, MFS; Aniketh Talwai
The case for multimodal data capture: Deeper insights and increased prediction accuracy
The case for multimodal data capture: Deeper insights and increased prediction accuracy
The case for multimodal data capture: Deeper insights and increased prediction accuracy
The case for multimodal data capture: Deeper insights and increased prediction accuracy
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
What possibly affects nighttime heart rate? Conclusions from n-of-1 observational data
Igor Matias, Eric J. Daza, Katarzyna Wac
What possibly affects nighttime heart rate? Conclusions from n-of-1 observational data
Igor Matias, Eric J. Daza, Katarzyna Wac
What possibly affects nighttime heart rate? Conclusions from n-of-1 observational data
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.
Igor Matias, Eric J. Daza, Katarzyna Wac
Model-Twin Randomization (MoTR): A Monte Carlo method for estimating the within-individual average treatment effect using wearable sensors
Model-Twin Randomization (MoTR): A Monte Carlo method for estimating the within-individual average treatment effect using wearable sensors
Eric J. Daza, Logan Schneider
Model-Twin Randomization (MoTR): A Monte Carlo method for estimating the within-individual average treatment effect using wearable sensors
Eric J. Daza, Logan Schneider
Model-Twin Randomization (MoTR): A Monte Carlo method for estimating the within-individual average treatment effect using wearable sensors
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.
Eric J. Daza, Logan Schneider
How can we optimise health technology assessment and reimbursement decisions to accelerate access to new cardiovascular medicines?
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
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
How can we optimise health technology assessment and reimbursement decisions to accelerate access to new cardiovascular medicines?
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.
Martin R. Cowie, Biykem Bozkurt, Javed Butler, Andrew Briggs, Maria Kubin, Adrian Jonas, Amanda I. Adler, Bray Patrick-Lake, Faiez Zannad
Boston University, Evidation publish study on voice as a digital marker in detection of Alzheimer’s disease
Boston University, Evidation publish study on voice as a digital marker in detection of Alzheimer’s disease
Boston University, Evidation publish study on voice as a digital marker in detection of 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 for automated transcription of spoken language
Cognitive digital biomarkers for 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
Cognitive digital biomarkers for 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
Cognitive digital biomarkers for automated transcription of spoken language
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
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
Influence of digital intervention messaging on influenza vaccination rates among adults with cardiovascular disease in the United States: A decentralized randomized clinical trial
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
Influence of digital intervention messaging on influenza vaccination rates among adults with cardiovascular disease in the United States: A decentralized randomized clinical trial
Evidation research reveals that a personalized, evidence-based digital intervention could be effective in increasing vaccination rates in a population of high-risk people with cardiovascular disease.
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
Using digital health technologies to transform community health and health equity
Using digital health technologies to transform community health and health equity
Using digital health technologies to transform community health and health equity
Using digital health technologies to transform community health and health equity
Evidation responded to an RFI from the White House Office of Science and Technology Policy (OSTP) to provide input on how digital health tools can transform community health and health equity.
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