Publications

Parthasarathy, Sairam, Shari Brosnahan, Solveig Sieberts, Elias Neto, Yanling Li, Meghasyam Tummalacherla, Heather-Elizabeth Brown, et al. “Wearable-derived Sleep Measurements are Associated with Long-COVID in the RECOVER Adult Cohort.” Res Sq, September 3, 2025. https://doi.org/10.21203/rs.3.rs-7422764/v1.

Jain, Sneha S., Bobak J. Mortazavi, Seng Chan You, Xiaoxi Yao, Carolyn S. P. Lam, Pierre Elias, Timothy J. Poterucha, et al. “Moving Beyond the Model: Our Perspective on Meaningful AI Research in Cardiovascular Care.” Journal of the American College of Cardiology 86, no. 10 (September 2025): 691–95. https://doi.org/10.1016/j.jacc.2025.07.040.

Chahal, C Anwar A., Fares Alahdab, Babken Asatryan, Daniel Addison, Nay Aung, Mina K. Chung, Spiros Denaxas, et al. “Data Interoperability and Harmonization in Cardiovascular Genomic and Precision Medicine.” Circulation. Genomic and Precision Medicine 18, no. 3 (June 2025): e004624. https://doi.org/10.1161/circgen.124.004624.

Taguibao, Candice, Salma Ajraoui, Jake Centra, Kieran F. Reid, Christina Daskalopoulou, Alberto Conde Freniche, Alan L. Hamilton, et al. “Identifying Concepts of Physical Activity Which Are Clinically Meaningful to Patients and Care Providers: A Systematic Review of Qualitative Research.” Clinical and Translational Science 18, no. 4 (April 2025): e70191. https://doi.org/10.1111/cts.70191.

Cho, Peter J., Iredia M. Olaye, Md Mobashir Hasan Shandhi, Eric J. Daza, Luca Foschini, and Jessilyn P. Dunn. “Identification of key factors related to digital health observational study adherence and retention by data-driven approaches: an exploratory secondary analysis of two prospective longitudinal studies.” The Lancet. Digital Health 7, no. 1 (January 2025): e23–34. https://doi.org/10.1016/s2589-7500(24)00219-x.

Ke, W., B. Chen, J. Yang, H. Jeong, L. Hershkovich, S. M. M. Islam, M. Liu, et al. “WatchSleepNet: A Novel Model and Pretraining Approach for Advancing Sleep Staging with Smartwatches.” In Proceedings of Machine Learning Research, Vol. 287, 2025.

Jeong, Hayoung, Ali R. Roghanizad, Hiral Master, Juseong Kim, Aymone Kouame, Paul A. Harris, Melissa Basford, Kayla Marginean, and Jessilyn Dunn. “Data from the All of Us research program reinforces existence of activity inequality.” NPJ Digital Medicine 8, no. 1 (January 2025): 8. https://doi.org/10.1038/s41746-024-01358-4.

Wang, Will Ke, Hayoung Jeong, Leeor Hershkovich, Peter Cho, Karnika Singh, Lauren Lederer, Ali R. Roghanizad, et al. “Tree-based classification model for Long-COVID infection prediction with age stratification using data from the National COVID Cohort Collaborative.” JAMIA Open 7, no. 4 (December 2024): ooae111. https://doi.org/10.1093/jamiaopen/ooae111.

Akre, Samir, Darsol Seok, Christopher Douglas, Adrian Aguilera, Simona Carini, Jessilyn Dunn, Matthew Hotopf, David C. Mohr, Alex A. T. Bui, and Nelson B. Freimer. “Advancing digital sensing in mental health research.” NPJ Digital Medicine 7, no. 1 (December 2024): 362. https://doi.org/10.1038/s41746-024-01343-x.

Cunningham, Jonathan W., William T. Abraham, Ankeet S. Bhatt, Jessilyn Dunn, G Michael Felker, Sneha S. Jain, Christopher J. Lindsell, et al. “Artificial Intelligence in Cardiovascular Clinical Trials.” J Am Coll Cardiol 84, no. 20 (November 12, 2024): 2051–62. https://doi.org/10.1016/j.jacc.2024.08.069.

Jiang, Sarah, Perisa Ashar, Md Mobashir Hasan Shandhi, and Jessilyn Dunn. “Demographic reporting in biosignal datasets: a comprehensive analysis of the PhysioNet open access database.” The Lancet. Digital Health 6, no. 11 (November 2024): e871–78. https://doi.org/10.1016/s2589-7500(24)00170-5.

Shin, Sooyoon, Nathan Kowahl, Taylor Hansen, Albee Y. Ling, Poulami Barman, Nicholas Cauwenberghs, Erin Rainaldi, et al. “Real-world walking behaviors are associated with early-stage heart failure: a Project Baseline Health Study.” J Card Fail 30, no. 11 (November 2024): 1423–33. https://doi.org/10.1016/j.cardfail.2024.02.028.

Armoundas, Antonis A., Faraz S. Ahmad, Derrick A. Bennett, Mina K. Chung, Leslie L. Davis, Jessilyn Dunn, Sanjiv M. Narayan, et al. “Data Interoperability for Ambulatory Monitoring of Cardiovascular Disease: A Scientific Statement From the American Heart Association.” Circulation. Genomic and Precision Medicine 17, no. 3 (June 2024): e000095. https://doi.org/10.1161/hcg.0000000000000095.

Dunn, Jessilyn, Andrea Coravos, Manuel Fanarjian, Geoffrey S. Ginsburg, and Steven R. Steinhubl. “Remote digital health technologies for improving the care of people with respiratory disorders.” Lancet Digit Health 6, no. 4 (April 2024): e291–98. https://doi.org/10.1016/S2589-7500(23)00248-0.

Singh, Karnika, Sarah C. Armstrong, Brooke E. Wagner, Julie Counts, Asheley Skinner, Melissa Kay, Jennifer S. Li, et al. “Physical activity and sleep changes among children during the COVID-19 pandemic.” NPJ Digit Med 7, no. 1 (March 16, 2024): 70. https://doi.org/10.1038/s41746-024-01041-8.

Shandhi, Md Mobashir Hasan, Karnika Singh, Natasha Janson, Perisa Ashar, Geetika Singh, Baiying Lu, D Sunshine Hillygus, Jennifer M. Maddocks, and Jessilyn P. Dunn. “Assessment of ownership of smart devices and the acceptability of digital health data sharing.” NPJ Digital Medicine 7, no. 1 (February 2024): 44. https://doi.org/10.1038/s41746-024-01030-x.

Holko, Michelle, Chris Lunt, and Jessilyn Dunn. “Session Introduction: Digital health technology data in biocomputing: Research efforts and considerations for expanding access (PSB2024).” Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 29 (January 2024): 163–69.

Wang, W. K., J. Yang, L. Hershkovich, H. Jeong, B. Chen, K. Singh, A. R. Roghanizad, M. M. H. Shandhi, A. R. Spector, and J. Dunn. “Addressing wearable sleep tracking inequity: a new dataset and novel methods for a population with sleep disorders.” In Proceedings of Machine Learning Research, 248:380–96, 2024.

Dunn, Jessilyn, Varun Mishra, Md Mobashir Hasan Shandhi, Hayoung Jeong, Natasha Yamane, Yuna Watanabe, Bill Chen, and Matthew S. Goodwin. “Building an open-source community to enhance autonomic nervous system signal analysis: DBDP-autonomic.” Frontiers in Digital Health 6 (January 2024): 1467424. https://doi.org/10.3389/fdgth.2024.1467424.

Lauer, S., J. Luo, L. Lazar-Stefanita, W. Zhang, L. H. McCulloch, V. Fanfani, E. Lobzaev, et al. “Context-dependent neocentromere activity in synthetic yeast chromosome VIII.” Cell Genomics 3, no. 11 (November 8, 2023). https://doi.org/10.1016/j.xgen.2023.100437.

Pasquale, Dana K., Whitney Welsh, Andrew Olson, Mark Yacoub, James Moody, Brisa A. Barajas Gomez, Keisha L. Bentley-Edwards, et al. “Scalable Strategies to Increase Efficiency and Augment Public Health Activities During Epidemic Peaks.” J Public Health Manag Pract 29, no. 6 (November 2023): 863–73. https://doi.org/10.1097/PHH.0000000000001780.

Lederer, Lauren, Amanda Breton, Hayoung Jeong, Hiral Master, Ali R. Roghanizad, and Jessilyn Dunn. “The Importance of Data Quality Control in Using Fitbit Device Data From the Research Program.” JMIR MHealth and UHealth 11 (November 2023): e45103. https://doi.org/10.2196/45103.

Charlton, Peter H., John Allen, Raquel Bailón, Stephanie Baker, Joachim A. Behar, Fei Chen, Gari D. Clifford, et al. “The 2023 wearable photoplethysmography roadmap.” Physiological Measurement 44, no. 11 (November 2023). https://doi.org/10.1088/1361-6579/acead2.

Chico, Timothy James, Emmanuel Stamatakis, Fabio Ciravegna, Jessilyn Dunn, Simon Redwood, Rasha Al-Lamee, Reecha Sofat, and Jason Gill. “Device-based measurement of physical activity in cardiovascular healthcare: possibilities and challenges.” British Journal of Sports Medicine 57, no. 19 (October 2023): 1225–26. https://doi.org/10.1136/bjsports-2022-106460.

Charpignon, Marie-Laure, Adrien Carrel, Yihang Jiang, Teddy Kwaga, Beatriz Cantada, Terry Hyslop, Christopher E. Cox, et al. “Going beyond the means: Exploring the role of bias from digital determinants of health in technologies.” PLOS Digit Health 2, no. 10 (October 2023): e0000244. https://doi.org/10.1371/journal.pdig.0000244.