Resources

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

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 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

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

Evidation and NYC Health announce a nationwide study that aims to understand the mental health impact of the COVID-19 pandemic.

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

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

Deep learning models for electrocardiograms are susceptible to adversarial attack

Evidation researchers develop a method to construct smoothed adversarial examples for ECG tracings that are invisible to human expert evaluation.

Han X, Hu Y, Foschini L, Chinitz L, Jankelson L, Ranganath R

Johnson & Johnson launches Heartline™, the first-of-its-kind, virtual study designed to explore if a new iPhone app and Apple Watch can help reduce the risk of stroke

Evidation collaborates with Johnson & Johnson and Apple to create The Heartline Study, which aims to assess whether digital tools can reduce the likelihood of stroke and improve health outcomes.

Large-scale influenza vaccination promotion on a mobile app platform: A randomized controlled trial

Evidation research reveals that messages regarding influenza vaccinations were most effective the first time around; effectiveness decreased after each successive batch sent.

Lee WN, Stück D, Konti K, Rivers C, Brown CR, Zbikowski SM, Foschini L