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Point of ContactAuthor ListTitleJournalsubmit dateStatusAccepted/In Press/Published Date
1

Areán P.A., Pratap A., Hsin H., Huppert T.K., Hendricks K.E., Heagerty P.J., Cohen T., Bagge C. and Comtois K.A.

Perceived Utility and Characterization of Personal Google Search Histories to Detect Data Patterns Proximal to a Suicide Attempt in Individuals Who Previously Attempted Suicide: Pilot Cohort Study

JMIR

 

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2

Omberg L., Neto E. C., Perumal T. M., Pratap A., Tediarjo A., Adams J., Bloem B R., Bot B M., Elson M.,  Goldman S M., Kellen M R., Kieburtz K., Klein A., Little M A., Schneider R., Suver C., Tarolli C., Tanner C M., Trister A D., Wilbanks J., Dorsey E. & Mangravite L. M.

Remote smartphone monitoring of Parkinson’s disease and individual response to therapyNature Biotechnology

 

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23Renn B.N., Schurr M, Zaslavsky O & Pratap, A.Artificial Intelligence: An Interprofessional Perspective on Implications for Geriatric Mental Health Research and Care PerspectiveFrontiers in Psychiatry

 

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34Goodday SM, Karlin E, Alfarano A, Brooks A, Chapman C, Desille R, Karlin DR, Emami H, Woods N, Foschini L, Kipping E, Wildman M, Cormack F, Taptiklis N, Pratap A, Ghassemi M, Goldenberg A, Nagaraj S, Walsh E,An Alternative to the Light Touch Digital Health Remote Study: The Stress and Recovery in Frontline COVID-19 Health Care Workers StudyJMIR Formative Research

 

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45Olaye I. M., Belovsky M. P., Bataille L., Cheng R., Ciger A., Fortuna K. L., Izmailova E.,  McCall D., Miller C. J., Muehlhause W., Northcott C. A., Pratap A., Rodriguez-Chavez I. R., Vandendriessche B., Zisman-Ilani Y. & Bakker J. P.Recommendations for defining and reporting adherence measured by Biometric Monitoring Technologies (BioMeTs): A systematic reviewJMIR

 

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56

Abed-Estafahani, P., Darwin B. C., Howard, D., Wang, C., Kim, E., Lerch, J., and French, L.

Evaluation of deep convolutional neural networks for in situ hybridization gene expression image representationPLOS One

 

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67Kim, E. H., Howard, D., Chen, Y., Tripathy, S. J and French, L.LaminaRGeneVis: a tool to visualize gene expression across the laminar architecture of the human neocortexFrontiers in Neuroinformatics

 

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