講師資料
Talks：
Personalization of Sleep and Circadian Medicine
Name：
Dr. Philip Cheng (USA)
Position：
Associate Professor of Medicine
Affiliation：
Center for Precision Circadian Medicine, Henry Ford Health
Email：
Photo：
Research Interests：
Dr. Cheng’s research program spans two interconnected areas. His insomnia work focuses on expanding access to cognitive behavioral therapy for insomnia (CBT-I) through digital delivery, with particular attention to reducing treatment disparities among socially and economically marginalized populations. His circadian and shift work research investigates the biological and behavioral mechanisms underlying Shift Work Disorder, and develops precision interventions — including light-based therapies and machine learning approaches to sleep tracking — that can be deployed at scale in real-world settings.
Selected Publications：
1. Cheng P, Walch OJ, Huang, Y., Mayer, C., Sagong, C., Cuamatzi Castelan, A., Burgess, HJ, Roth, T., Forger, D., Drake, CL. (2020). Predicting circadian misalignment with wearable technology: Validation of wrist-worn actigraphy and photometry in night shift workers, SLEEP
2. Cheng P, Casement, M., Kalmbach D, *Cuamatzi Castelan, A., Drake CL. (2021). Digital Cognitive Behavioral Therapy for Insomnia Promotes Later Health Resilience During the Coronavirus Disease 19 (COVID-19) Pandemic. SLEEP, 44(4):zsaa258. PMID: 33249492, PMCID: PMC7798633
3. Jennings, M. B., Kalmbach, D., *Reffi, A. N., Miller, C. B., Roehrs, T., Drake, C., & Cheng, P. (2025). Prevention of pain interference in insomnia patients via digital cognitive behavioral therapy for insomnia. Behavioral Sleep Medicine. PMID: 40324067
4. Cheng P, *Jennings MB, Kalmbach DA, Johnson DA, *Habash S, Casement MD, and Drake CL. (2024) Neighborhood Social Vulnerability as a Mediator of Racial Disparities in Insomnia Severity. Sleep Health. PMID: 39477783
5. Cheng, P., *Tallent, G., Bender, T.J., Tran, K.M., Drake, C. (2017) Shift work and cognitive flexibility: decomposing task performance. Journal of Biological Rhythm, 13(2), 143-153. PMID: 28470121
Abstract：
Insomnia and circadian misalignment are highly prevalent, yet standard interventions are typically delivered as one-size-fits-all protocols that overlook individual differences in symptom presentation, treatment response, and biological timing. This talk examines the impact of shifting from generalized and static approaches to individualized approaches in sleep and circadian medicine, drawing on research spanning digital behavioral interventions and wearable-based circadian assessment. Two organizing themes are addressed: first, how attention to multilevel factors that impact digital interventions, and evaluating effectiveness across various populations; and second, how individual-level circadian phase data can move interventions beyond fixed, schedule-based recommendations toward timing that reflects a person's actual physiology. Together, these themes point toward a broader model of precision sleep/circadian health — one in which personalization is built on both social determinants and biological measurement, rather than treated as an afterthought to standardized care. The influence of infrastructure, measurement, and implementation challenges will be discussed in the context of translating this model into scalable practice.
2026年會：