| Predicting circadian misalignment with wearable technology: validation of wrist-worn actigraphy and photometry in night shift workers P Cheng, O Walch, Y Huang, C Mayer, C Sagong, A Cuamatzi Castelan, ... Sleep 44 (2), zsaa180, 2021 | 52 | 2021 |
| A method for characterizing daily physiology from widely used wearables C Bowman, Y Huang, OJ Walch, Y Fang, E Frank, J Tyler, C Mayer, ... Cell reports methods 1 (4), 2021 | 44 | 2021 |
| Predicting circadian phase across populations: a comparison of mathematical models and wearable devices Y Huang, C Mayer, P Cheng, A Siddula, HJ Burgess, C Drake, ... Sleep 44 (10), zsab126, 2021 | 43 | 2021 |
| Consumer-grade wearables identify changes in multiple physiological systems during COVID-19 disease progression C Mayer, J Tyler, Y Fang, C Flora, E Frank, M Tewari, SW Choi, S Sen, ... Cell Reports Medicine 3 (4), 2022 | 18 | 2022 |
| High-frequency temperature monitoring for early detection of febrile adverse events in patients with cancer C Flora, J Tyler, C Mayer, DE Warner, SN Khan, V Gupta, R Lindstrom, ... Cancer Cell 39 (9), 1167-1168, 2021 | 18 | 2021 |
| Monitoring health care workers at risk for COVID-19 using wearable sensors and smartphone technology: Protocol for an observational mHealth study CA Clingan, M Dittakavi, M Rozwadowski, KN Gilley, CR Cislo, J Barabas, ... JMIR research protocols 10 (5), e29562, 2021 | 14 | 2021 |
| Distinct circadian assessments from wearable data reveal social distancing promoted internal desynchrony between circadian markers Y Huang, C Mayer, OJ Walch, C Bowman, S Sen, C Goldstein, J Tyler, ... Frontiers in Digital Health 3, 727504, 2021 | 7 | 2021 |
| Efficient assessment of real-world dynamics of circadian rhythms in heart rate and body temperature from wearable data DW Kim, C Mayer, MP Lee, SW Choi, M Tewari, DB Forger Journal of the Royal Society Interface 20 (205), 20230030, 2023 | 5 | 2023 |
| Monitoring beliefs and physiological measures in students at risk for COVID-19 using wearable sensors and smartphone technology: Protocol for a mobile health study. C Cislo, C Clingan, K Gilley, M Rozwadowski, I Gainsburg, C Bradley, ... JMIR Research Protocols, 2021 | 4 | 2021 |
| Impact of light schedules and model parameters on the circadian outcomes of individuals C Mayer, O Walch, DB Forger, K Hannay Journal of Biological Rhythms 38 (4), 379-391, 2023 | 3 | 2023 |
| Monitoring beliefs and physiological measures using wearable sensors and smartphone technology among students at risk of COVID-19: protocol for a mHealth study C Cislo, C Clingan, K Gilley, M Rozwadowski, I Gainsburg, C Bradley, ... JMIR Research Protocols 10 (6), e29561, 2021 | 2 | 2021 |
| Lifestyle Profiling Using Wearables and Prediction of Glucose Metabolism in Individuals with Normoglycemia or Prediabetes H Park, AA Metwally, A Delfarah, Y Wu, D Perelman, M Rodgar, C Mayer, ... medRxiv, 2024 | | 2024 |
| Lifestyle Profiling Using Wearables and Prediction of Glucose Metabolism in Individuals with Normoglycemia or Prediabetes M Snyder, H Park, AA Metwally, A Delfarah, Y Wu, D Perelman, M Rodgar, ... medRxiv, 2024.09. 05.24312545, 2024 | | 2024 |
| The combination of topological data analysis and mathematical modeling improves sleep stage prediction from consumer-grade wearables MP Lee, DW Kim, C Mayer, O Walch, DB Forger Journal of Biological Rhythms, 07487304241288607, 2023 | | 2023 |
| Systems and methods for enhancing infection detection and monitoring through decomposed physiological data D Forger, J Tyler, C Mayer, S Sen, Y Fang, C Flora, SW Choi, M Tewari US Patent App. 17/859,647, 2023 | | 2023 |
| Traveling wave solutions for a cancer stem cell invasion model. C Mayer, E Stachura Discrete & Continuous Dynamical Systems-Series B 26 (9), 2021 | | 2021 |
