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Evidation, USC and Rand awarded NIH R01 Research Project grant to develop a representative digital health dataset and novel data science methods
Evidation, USC and Rand awarded NIH R01 Research Project grant to develop a representative digital health dataset and novel data science methods
Evidation, USC and Rand awarded NIH R01 Research Project grant to develop a representative digital health dataset and novel data science methods
Evidation, USC and Rand awarded NIH R01 Research Project grant to develop a representative digital health dataset and novel data science methods
Evidation, USC, and RAND announce a partnership to create a nationally representative digital health dataset, dubbed American Life in Real-time (ALiR).
Remote digital monitoring for medical product development
Remote digital monitoring for medical product development
Izmailova ES, Wagner JA, Ammour N, Amondikar N, Bell-Vlasov A, Berman S, Bloomfield D, Brady LS, Cai X, Calle RA, Campbell M, Cerreta F, Clay I, Foschini L, Furlong P, Goldel R, Goldsack JS, Groenen P, Folarin A, Heemskerk J, Honig P, Hotopf M, Kamphaus T, Karlin DR, Leptak C, Liu Q, Manji H, Mather RJ, Menetski JP, Narayan VA, Papadopoulos E, Patel B, Patrick-Lake B, Podichetty JT, Pratap A, Servais L, Stephenson D, Tenaerts P, Tromberg B, Usdin S, Vasudevan S, Zipunnikov V, Hoffmann SC
Remote digital monitoring for medical product development
Izmailova ES, Wagner JA, Ammour N, Amondikar N, Bell-Vlasov A, Berman S, Bloomfield D, Brady LS, Cai X, Calle RA, Campbell M, Cerreta F, Clay I, Foschini L, Furlong P, Goldel R, Goldsack JS, Groenen P, Folarin A, Heemskerk J, Honig P, Hotopf M, Kamphaus T, Karlin DR, Leptak C, Liu Q, Manji H, Mather RJ, Menetski JP, Narayan VA, Papadopoulos E, Patel B, Patrick-Lake B, Podichetty JT, Pratap A, Servais L, Stephenson D, Tenaerts P, Tromberg B, Usdin S, Vasudevan S, Zipunnikov V, Hoffmann SC
Remote digital monitoring for medical product development
Evidation research concludes that digital monitoring data need to be integrated with the totality of the data in clinical trials to create a holistic picture of the health care of the future.
Izmailova ES, Wagner JA, Ammour N, Amondikar N, Bell-Vlasov A, Berman S, Bloomfield D, Brady LS, Cai X, Calle RA, Campbell M, Cerreta F, Clay I, Foschini L, Furlong P, Goldel R, Goldsack JS, Groenen P, Folarin A, Heemskerk J, Honig P, Hotopf M, Kamphaus T, Karlin DR, Leptak C, Liu Q, Manji H, Mather RJ, Menetski JP, Narayan VA, Papadopoulos E, Patel B, Patrick-Lake B, Podichetty JT, Pratap A, Servais L, Stephenson D, Tenaerts P, Tromberg B, Usdin S, Vasudevan S, Zipunnikov V, Hoffmann SC
Design, recruitment, and baseline characteristics of a virtual 1-year mental health study on behavioral data and health outcomes: Observational study
Design, recruitment, and baseline characteristics of a virtual 1-year mental health study on behavioral data and health outcomes: Observational study
Kumar S, Tran JLA, Ramirez E, Lee W, Foschini L, Juusola J
Design, recruitment, and baseline characteristics of a virtual 1-year mental health study on behavioral data and health outcomes: Observational study
Kumar S, Tran JLA, Ramirez E, Lee W, Foschini L, Juusola J
Design, recruitment, and baseline characteristics of a virtual 1-year mental health study on behavioral data and health outcomes: Observational study
Evidation's baseline analysis found that some passively tracked behavioral traits are associated with more severe forms of anxiety or depression.
Kumar S, Tran JLA, Ramirez E, Lee W, Foschini L, Juusola J
Evidation raises $45 million Series D, hires CCO to accelerate commercial momentum and expand into virtual health
Evidation raises $45 million Series D, hires CCO to accelerate commercial momentum and expand into virtual health
Evidation raises $45 million Series D, hires CCO to accelerate commercial momentum and expand into virtual health
Evidation raises $45 million Series D, hires CCO to accelerate commercial momentum and expand into virtual health
Evidation announces the close of a $45 million Series D funding round and the addition of Sam Marwaha as CCO.
The accuracy of self-reported blood pressure in the Medication Adherence Improvement Support App for Engagement–Blood Pressure (MedISAFE-BP) trial: Implications for pragmatic trials
The accuracy of self-reported blood pressure in the Medication Adherence Improvement Support App for Engagement–Blood Pressure (MedISAFE-BP) trial: Implications for pragmatic trials
Haff N, Lauffenburger JC, Morawski K, Ghazinouri R, Noor N, Kumar S, Juusola J, Choudhry NK
The accuracy of self-reported blood pressure in the Medication Adherence Improvement Support App for Engagement–Blood Pressure (MedISAFE-BP) trial: Implications for pragmatic trials
Haff N, Lauffenburger JC, Morawski K, Ghazinouri R, Noor N, Kumar S, Juusola J, Choudhry NK
The accuracy of self-reported blood pressure in the Medication Adherence Improvement Support App for Engagement–Blood Pressure (MedISAFE-BP) trial: Implications for pragmatic trials
Evidation research reveals no patients could be identified for whom self-reported hypertension would be a reliable method for their inclusion in a pragmatic trial.
Haff N, Lauffenburger JC, Morawski K, Ghazinouri R, Noor N, Kumar S, Juusola J, Choudhry NK
Evidation Health and BARDA partner on early warning system for COVID-19
Evidation Health and BARDA partner on early warning system for COVID-19
Evidation Health and BARDA partner on early warning system for COVID-19
Evidation Health and BARDA partner on early warning system for COVID-19
Evidation announces a new effort, funded by BARDA, to detect COVID-19 symptoms via an early warning algorithm.
Understanding the pandemic’s impact on the management of chronic conditions
Understanding the pandemic’s impact on the management of chronic conditions
Understanding the pandemic’s impact on the management of chronic conditions
Understanding the pandemic’s impact on the management of chronic conditions
The COVID-19 pandemic has deeply affected every part of our society and economy, and is likely to have a long-lasting impact for years to come. We sough to understand how it is affecting one of the most vulnerable segments of the population.
NYC Health and Evidation collaborate with the Icahn School of Medicine at Mount Sinai to launch study on COVID-19’s impact on mental health
NYC Health and Evidation collaborate with the Icahn School of Medicine at Mount Sinai to launch study on COVID-19’s impact on mental health
NYC Health and Evidation collaborate with the Icahn School of Medicine at Mount Sinai to launch study on COVID-19’s impact on mental health
NYC Health and Evidation collaborate with the Icahn School of Medicine at Mount Sinai to launch study on COVID-19’s impact on mental health
Evidation and NYC Health announce a nationwide study that aims to understand the mental health impact of the COVID-19 pandemic.
Machine intelligence in healthcare — Perspectives on trustworthiness, explainability, usability, and transparency
Machine intelligence in healthcare — Perspectives on trustworthiness, explainability, usability, and transparency
Cutillo CM, Sharma KR, Foschini L, Kundu S, Mackintosh M, Mandl, KD
Machine intelligence in healthcare — Perspectives on trustworthiness, explainability, usability, and transparency
Cutillo CM, Sharma KR, Foschini L, Kundu S, Mackintosh M, Mandl, KD
Machine intelligence in healthcare — Perspectives on trustworthiness, explainability, usability, and transparency
Evidation research reveals that machine intelligence approaches have the potential to improve health through the facilitation of more efficient and effective provision of care.
Cutillo CM, Sharma KR, Foschini L, Kundu S, Mackintosh M, Mandl, KD
Continuous digital assessment for weight loss surgery patients
Continuous digital assessment for weight loss surgery patients
Ramirez E, Marinsek N, Bradshaw B, Kanard R, Foschini L
Continuous digital assessment for weight loss surgery patients
Ramirez E, Marinsek N, Bradshaw B, Kanard R, Foschini L
Continuous digital assessment for weight loss surgery patients
Evidation research reveals that the weeks following weight-loss operations were associated with fewer steps and greater sleep time/efficiency.
Ramirez E, Marinsek N, Bradshaw B, Kanard R, Foschini L
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