Tactics to Address Research Goals in Sleep and Circadian Biology

Methodological and technical barriers can delay innovation in both the science and practice of translating sleep and circadian rhythms into medicine and public health. Solving such issues can have a transformative effect on the field and improve the ease and pace of research in sleep and circadian rhythms. Methodological and technical innovations will aid in advancing sleep and circadian sciences.

• Develop, test, and validate new cellular and animal models of health and disease states of sleep and circadian rhythms, and develop consensus on the advantages and disadvantages of such models.
• Develop, validate, and set standards for wearable devices that can measure sleep and circadian rhythms, and integrate such measures with other physiological data into electronic health records.
• Utilize AI techniques to enable predictive modelling and the interoperability of multidimensional sleep and circadian rhythms data; improve disease surveillance; identify positive deviance; enhance treatment adherence; promote early and effective engagement of patients, public and stakeholders; and support platforms for comparative effectiveness research and clinical decision support systems.
• Develop accessible and harmonized data science approaches to better understand circadian contributions to health and disease.
• Promote inclusion of more diverse patient populations with circadian rhythm and sleep disorders in research.