P. J. Cho

Demographic Imbalances Resulting From the Bring-Your-Own-Device Study Design

G. Ginsburg, J. Dunn, M. Shandhi, 2021, JMIR mHealth and uHealth.

A Method for Intelligent Allocation of Diagnostic Testing by Leveraging Data from Commercial Wearable Devices: A Case Study on COVID-19

Ali R. Roghanizad, J. Dunn, M. Snyder, 2022, npj Digital Medicine.

The digital biomarker discovery pipeline: An open-source software platform for the development of digital biomarkers using mHealth and wearables data

Ke Wang, Jessilyn Dunn, Brinnae Bent, 2020, Journal of Clinical and Translational Science.

Engineering digital biomarkers of interstitial glucose from noninvasive smartwatches

Matthew J. Crowley, J. Dunn, M. Feinglos, 2021, npj Digital Medicine.

Roles of artificial intelligence in wellness, healthy living, and healthy status sensing

J. Dunn, Karnika Singh, P. J. Cho, 2021 .

Non-invasive wearables for remote monitoring of HbA1c and glucose variability: proof of concept

Matthew J. Crowley, J. Dunn, M. Feinglos, 2021, BMJ Open Diabetes Research & Care.

A method for intelligent allocation of diagnostic testing by leveraging data from commercial wearable devices: a case study on COVID-19

Ali R. Roghanizad, J. Dunn, M. Shandhi, 2022, npj Digital Medicine.

The Demographic Improvement Guideline to Reduce Bias Resulting from Bring-Your-Own-Device Study Design (Preprint)

G. Ginsburg, R. Shaw, J. Dunn, 2021 .