Resources

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

Quantifying the impact of influenza among persons with type 2 diabetes mellitus: A new approach to determine medical and physical activity impact

Evidation research reveals that influenza increases rates of pneumonia, heart disease, and abnormal glucose levels among people with type 2 diabetes mellitus.

Samson SI, Konty K, Lee WN, Quisel T, Foschini L, Kerr D, Liska J, Mills H, Hollingsworth R, Greenberg M, Beal AC

African American participants experience greater pain severity and pain interference compared to non­-Hispanic whites in a large scale virtual study on chronic pain

Evidation research findings add to a growing body of evidence that African Americans are disproportionately burdened by chronic pain.

Cerrada C J, Tai C, Kumar S, Scherer K, Eulogio R, Ramirez E, Foschini L, Juusola J

Effect of different financial incentive structures on promoting physical activity among adults

Evidation research reveals that financial incentives for physical activity are most effective when offered at a constant rate.

Bachireddy C, Joung A, John LK, Gino F, Tuckfield B, Foschini L, Milkman KL

Developing measures of cognitive impairment in the real world from consumer-grade multimodal sensor streams

Evidation research aims to assess the feasibility of collecting data in cognitively impaired individuals and healthy controls from multiple smart devices and to test whether the data can differentiate between these groups.

Chan R, Jankovic F, Marinsek N, Foschini L, Kourtis L, Signorini A, Pugh M, Shen J, Yaari R, Maljkovic V, Sunga M, Hee Song H, Joon Jung H, Tseng B, Trister A

Influenza surveillance using wearable mobile health devices

Evidation research reveals the potential of mHealth devices to register illness.

Konty, K. J., Bradshaw, B., Ramirez, E., Lee, W.-N., Signorini, A., & Foschini, L.

The voice of the patient: What participants really want (and don't want) from research programs