Dunn, Jessilyn
Duke University · Duke Clinical Research Institute
14 papers on CoChatORCID 0000-0002-3241-8183
Most cited papers
- Verified
Investigating sources of inaccuracy in wearable optical heart rate sensors
Bent, B., Goldstein, B. A., Kibbe, W. A., & Dunn, J. P. (2020) · npj Digital Medicine
Non-Invasive Vital Sign MonitoringHeart Rate Variability and Autonomic Control
Cited by 673
- Verified
Wearables and the Medical Revolution
Dunn, J., Runge, R., & Snyder, M. (2018) · Personalized Medicine
Non-Invasive Vital Sign MonitoringContext-Aware Activity Recognition Systems
Cited by 654
- Verified
Longitudinal multi-omics of host–microbe dynamics in prediabetes
Zhou, W., Sailani, M. R., Contrepois, K., Zhou, Y., Ahadi, S., Leopold, S. R., Zhang, M. J., Rao, V., Avina, M., Mishra, T., et al. (2019) · Nature
Adipokines, Inflammation, and Metabolic DiseasesGut microbiota and health
Cited by 583
- Verified
Verification, analytical validation, and clinical validation (V3): The foundation of determining fit-for-purpose for Biometric Monitoring Technologies (BioMeTs)
Goldsack, J. C., Coravos, A., Bakker, J. P., Bent, B., Dowling, A. V., Fitzer-Attas, C., Godfrey, A., Godino, J. G., Gujar, N., Izmailova, E., et al. (2020) · npj Digital Medicine
Healthcare Technology and Patient MonitoringMobile Health and mHealth Applications
Cited by 557
- Verified
A Longitudinal Big Data Approach for Precision Health
Schüssler-Fiorenza Rose, S. M., Contrepois, K., Moneghetti, K. J., Zhou, W., Mishra, T., Mataraso, S., Dagan-Rosenfeld, O., Ganz, A. B., Dunn, J., Hornburg, D., et al. (2019) · Nature Medicine
Health, Environment, Cognitive AgingMetabolomics and Mass Spectrometry Studies
Cited by 494
- Verified
Digital Health: Tracking Physiomes and Activity Using Wearable Biosensors Reveals Useful Health-Related Information
Li, X., Dunn, J., Salins, D., Zhou, G., Zhou, W., Schüssler-Fiorenza Rose, S. M., Perelman, D., Colbert, E., Runge, R., Rego, S., et al. (2017) · PLOS Biology
Non-Invasive Vital Sign MonitoringContext-Aware Activity Recognition Systems
Cited by 431
- Verified
Wearable sensors enable personalized predictions of clinical laboratory measurements
Dunn, J., Kidzinski, L., Runge, R., Witt, D., Hicks, J. L., Schüssler-Fiorenza Rose, S. M., Li, X., Bahmani, A., Delp, S. L., Hastie, T., et al. (2021) · Nature Medicine
Non-Invasive Vital Sign MonitoringArtificial Intelligence in Healthcare
Cited by 244
- Verified
Personal Omics for Precision Health
Kellogg, R. A., Dunn, J., & Snyder, M. P. (2018) · Circulation Research
Health, Environment, Cognitive AgingBioinformatics and Genomic Networks
Cited by 66
- Verified
Potential impact of wearables on physical activity guidelines and interventions: opportunities and challenges
Gill, J. M., Chico, T. J., Doherty, A., Dunn, J., Ekelund, U., Katzmarzyk, P. T., Milton, K., Murphy, M. H., & Stamatakis, E. (2023) · British Journal of Sports Medicine
Physical Activity and HealthMobile Health and mHealth Applications
Cited by 49
- Verified
Investigating the accuracy of blood oxygen saturation measurements in common consumer smartwatches
Jiang, Y., Spies, C., Magin, J., Bhosai, S. J., Snyder, L., & Dunn, J. (2023) · PLOS Digital Health
Non-Invasive Vital Sign MonitoringCardiovascular and exercise physiology
Cited by 36
- Verified
Reply: Matters Arising ‘Investigating sources of inaccuracy in wearable optical heart rate sensors’
Bent, B., Enache, O. M., Goldstein, B., Kibbe, W., & Dunn, J. P. (2021) · npj Digital Medicine
Non-Invasive Vital Sign MonitoringHeart Rate Variability and Autonomic Control
Cited by 17
- Verified · note
Moving Beyond the Model
Jain, S. S., Mortazavi, B. J., Chan You, S., Yao, X., Lam, C. S. P., Elias, P., Poterucha, T. J., Avram, R., Tison, G. H., Pirruccello, J., et al. (2025) · JACC
Clinical practice guidelines implementationHealth and Medical Research Impacts
Cited by 13
- Verified
Wearables in the SARS-CoV-2 Pandemic: What Are They Good for?
Bent, B., & Dunn, J. P. (2020) · JMIR mHealth and uHealth
Mobile Health and mHealth ApplicationsNon-Invasive Vital Sign Monitoring
Cited by 10
- Verified
Automated Diet Capture Using Voice Alerts and Speech Recognition on Smartphones: Pilot Usability and Acceptability Study
Chikwetu, L., Daily, S., Mortazavi, B. J., & Dunn, J. (2023) · JMIR Formative Research
Mobile Health and mHealth ApplicationsUsability and User Interface Design
Cited by 8
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