A method for characterizing daily physiology from widely used wearables von Bowman, Clark, Huang, Yitong, Walch, Olivia J., Fang, Yu, Frank, Elena, Tyler, Jonathan, Mayer, Caleb, Stockbridge, Christopher, Goldstein, Cathy, Sen, Srijan, Forger, Daniel B.

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Distinct Circadian Assessments From Wearable Data Reveal Social Distancing Promoted Internal Desynchrony Between Circadian Markers von Huang, Yitong, Mayer, Caleb, Walch, Olivia J, Bowman, Clark, Sen, Srijan, Goldstein, Cathy, Tyler, Jonathan, Forger, Daniel B

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Monitoring Beliefs and Physiological Measures Using Wearable Sensors and Smartphone Technology Among Students at Risk of COVID-19: Protocol for a mHealth Study von Cislo, Christine, Clingan, Caroline, Gilley, Kristen, Rozwadowski, Michelle, Gainsburg, Izzy, Bradley, Christina, Barabas, Jenny, Sandford, Erin, Olesnavich, Mary, Tyler, Jonathan, Mayer, Caleb, DeMoss, Matthew, Flora, Christopher, Forger, Daniel B, Cunningham, Julia Lee, Tewari, Muneesh, Choi, Sung Won

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Impact of Light Schedules and Model Parameters on the Circadian Outcomes of Individuals von Mayer, Caleb, Walch, Olivia, Forger, Daniel B., Hannay, Kevin

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Predicting circadian misalignment with wearable technology: validation of wrist-worn actigraphy and photometry in night shift workers von Cheng, Philip, Walch, Olivia, Huang, Yitong, Mayer, Caleb, Sagong, Chaewon, Cuamatzi Castelan, Andrea, Burgess, Helen J, Roth, Thomas, Forger, Daniel B, Drake, Christopher L

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Predicting circadian phase across populations: a comparison of mathematical models and wearable devices von Huang, Yitong, Mayer, Caleb, Cheng, Philip, Siddula, Alankrita, Burgess, Helen J, Drake, Christopher, Goldstein, Cathy, Walch, Olivia, Forger, Daniel B

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The Combination of Topological Data Analysis and Mathematical Modeling Improves Sleep Stage Prediction From Consumer-Grade Wearables von Lee, Minki P., Kim, Dae Wook, Mayer, Caleb, Walch, Olivia, Forger, Daniel B.

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Efficient assessment of real-world dynamics of circadian rhythms in heart rate and body temperature from wearable data von Kim, Dae Wook, Mayer, Caleb, Lee, Minki P, Choi, Sung Won, Tewari, Muneesh, Forger, Daniel B

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High-frequency temperature monitoring for early detection of febrile adverse events in patients with cancer von Flora, Christopher, Tyler, Jonathan, Mayer, Caleb, Warner, David E., Khan, Shihan N., Gupta, Vibhuti, Lindstrom, Ryan, Mazzoli, Amanda, Rozwadowski, Michelle, Braun, Thomas M., Ghosh, Monalisa, Forger, Daniel B., Choi, Sung Won, Tewari, Muneesh

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Predicting circadian phase in community-dwelling later-life adults using actigraphy data von Mayer, Caleb, Kim, Dae Wook, Zhang, Meina, Lee, Minki P, Forger, Daniel B, Burgess, Helen J, Moon, Chooza

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Consumer-grade wearables identify changes in multiple physiological systems during COVID-19 disease progression von Mayer, Caleb, Tyler, Jonathan, Fang, Yu, Flora, Christopher, Frank, Elena, Tewari, Muneesh, Choi, Sung Won, Sen, Srijan, Forger, Daniel B

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Monitoring Health Care Workers at Risk for COVID-19 Using Wearable Sensors and Smartphone Technology: Protocol for an Observational mHealth Study von Clingan, Caroline A, Dittakavi, Manasa, Rozwadowski, Michelle, Gilley, Kristen N, Cislo, Christine R, Barabas, Jenny, Sandford, Erin, Olesnavich, Mary, Flora, Christopher, Tyler, Jonathan, Mayer, Caleb, Stoneman, Emily, Braun, Thomas, Forger, Daniel B, Tewari, Muneesh, Choi, Sung Won

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Monitoring beliefs and physiological measures in students at risk for COVID-19 using wearable sensors and smartphone technology: Protocol for a mobile health study von Cislo, Christine, Clingan, Caroline, Gilley, Kristen, Rozwadowski, Michelle, Gainsburg, Izzy, Bradley, Christina, Barabas, Jenny, Sandford, Erin, Olesnavich, Mary, Tyler, Jonathan, Mayer, Caleb, DeMoss, Matthew, Flora, Christopher, Forger, Daniel B, Cunningham, Julia Lee, Tewari, Muneesh, Choi, Sung Won

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ALSM_version_1_01-25-2023_v2.zip from Efficient assessment of real-world dynamics of circadian rhythms in heart rate and body temperature from wearable data von Kim, Dae Wook, Mayer, Caleb, Lee, Minki P., Choi, Sung Won, Tewari, Muneesh, Forger, Daniel B.

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SYSTEMS AND METHODS FOR ENHANCING INFECTION DETECTION AND MONITORING THROUGH DECOMPOSED PHYSIOLOGICAL DATA von Sen, Srijan, Choi, Sung Won, Tewari, Muneesh, Forger, Daniel, Tyler, Jonathan, Mayer, Caleb, Fang, Yu, Flora, Christopher

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Competency-Based Curriculum Development to Meet the Needs of People With Disabilities: A Call to Action von Ankam, Nethra S, Bosques, Glendaliz, Sauter, Carley, Stiens, Steven, Therattil, Maya, Williams, Faren H, Atkins, Caleb C, Mayer, R Samuel

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Hydroxychloroquine as Pre-exposure Prophylaxis for Coronavirus Disease 2019 (COVID-19) in Healthcare Workers: A Randomized Trial von Rajasingham, Radha, Bangdiwala, Ananta S, Nicol, Melanie R, Skipper, Caleb P, Pastick, Katelyn A, Axelrod, Margaret L, Pullen, Matthew F, Nascene, Alanna A, Williams, Darlisha A, Engen, Nicole W, Okafor, Elizabeth C, Rini, Brian I, Mayer, Ingrid A, McDonald, Emily G, Lee, Todd C, Li, Peter, MacKenzie, Lauren J, Balko, Justin M, Dunlop, Stephen J, Hullsiek, Katherine H, Boulware, David R, Lofgren, Sarah M

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Using artificial intelligence to transform astrobiology von Scharf, Caleb A., Mayer, Marisa H., Boston, Penelope J.

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A stress-induced source of phonon bursts and quasiparticle poisoning von Anthony-Petersen, Robin, Biekert, Andreas, Bunker, Raymond, Chang, Clarence L., Chang, Yen-Yung, Chaplinsky, Luke, Fascione, Eleanor, Fink, Caleb W., Garcia-Sciveres, Maurice, Germond, Richard, Guo, Wei, Hertel, Scott A., Hong, Ziqing, Kurinsky, Noah, Li, Xinran, Lin, Junsong, Lisovenko, Marharyta, Mahapatra, Rupak, Mayer, Adam, McKinsey, Daniel N., Mehrotra, Siddhant, Mirabolfathi, Nader, Neblosky, Brian, Page, William A., Patel, Pratyush K., Penning, Bjoern, Pinckney, H. Douglas, Platt, Mark, Pyle, Matt, Reed, Maggie, Romani, Roger K., Santana Queiroz, Hadley, Sadoulet, Bernard, Serfass, Bruno, Smith, Ryan, Sorensen, Peter, Suerfu, Burkhant, Suzuki, Aritoki, Underwood, Ryan, Velan, Vetri, Wang, Gensheng, Wang, Yue, Watkins, Samuel L., Williams, Michael R., Yefremenko, Volodymyr, Zhang, Jianjie

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Preoperative quantitative imaging use in predicting intraoperative decision for hip labral repair versus reconstruction von Alder, Catherine C, Wait, Trevor J, Wipf, Caleb J, Keeter, Carson L, Peszek, Adam, Mayer, Stephanie W, Ho, Charles P, Orahovats, Alexandra, Genuario, James W

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