Resources

Evidation collaborates with Merck on digital monitoring study for Alzheimer's disease

Evidation announces a collaboration with Merck to detect and monitor the treatment of Alzheimer's Disease.

5 key factors to successfully leveraging person-generated health data

Evidation shares five key factors in leveraging person-generated health data (PGHD) to improve outcomes and care delivery.

Dear watch, should I get a COVID-19 test? Designing deployable machine learning for wearables

Evidation research reveals that using a wearable device can reduce the burden of symptom surveys by 35%.

Goldenberg A, Nestor B, Hunter J, Kainkaryam R, Drysdale E, Inglis J, Shapiro A, Nagaraj S, Ghassemi M, and Foschini L

Evidation + HealthVerity: The holistic patient journey: Fusing real-world data with person-generated health data

Evidation, Pfizer, and HealthVerity discuss how to fuse real-world data (RWD) with person-generated health data (PGHD).

Enabling individuals to act on heart health insights

Evidation brings together industry voices to address how to enable individuals to act on heart health insights.

Reproducibility in machine learning for health research: Still a ways to go

Evidation research reveals that machine learning for health compared poorly to other areas regarding reproducibility metrics.

McDermott M.B.A, Wang S, Marinsek N, Ranganath R, Foschini L, and Ghassemi M

Evaluation, acceptance, and qualification of digital measures: From proof of concept to endpoint

Evidation research details the steps of bringing a successful proof of concept to scale, focusing on key decisions in the development of a new digital measure.

Goldsack J.C, Dowling A.V, Samuelson D, Patrick-Lake B, and Clay I

Evidation raises $153M to scale virtual health capabilities of Achievement™ platform

Evidation announces the close of $153 million in Series E growth funding.

A novel digital approach to describe real world outcomes among patients with constipation

Evidation conducted the first study that utilized commercially available activity trackers to quantify the association between self-reported bowel patterns, laxative utilization, and patterns of behavior related to activity and sleep at a daily level.

Shapiro A, Bradshaw B, Landes S, Kammann P, Bois De Fer B, Lee W, and Lange R

Early insights from a digitally enhanced diabetes self-management education and support program: Single-arm nonrandomized trial

Evidation research provides early evidence that a digitally enhanced DSMES program improves HbA1c and disease self-management outcomes.

Wilson-Anumudu F, Quan R, Sweet C.C., Cerrada C, Juusola J, Turken M, and Jasik C.B.