Applying artificial intelligence approaches to circadian health

  • Wilson Rajaratnam, Shanthakumar (Primary Chief Investigator (PCI))
  • Phillips, Andrew (Chief Investigator (CI))
  • Mortimer, Duncan (Chief Investigator (CI))
  • Bain, Chris (Chief Investigator (CI))
  • Yuce, Mehmet (Chief Investigator (CI))
  • Bergmeir, Christoph (Chief Investigator (CI))
  • Zee, Phyllis C. (Partner Investigator (PI))
  • Czeisler, Charles Andrew (Partner Investigator (PI))
  • Cajochen, Christian (Partner Investigator (PI))
  • Pavlova, Milena (Partner Investigator (PI))

Project: Research

Project Details

Project Description

Aim 1: Mine the rich clinical multi-site dataset to identify the most effective treatment strategies and to identify signatures of Circadian Rhythm Sleep-Wake Disorders that can aid accurate diagnosis and inform novel algorithms for wearable devices.
Aim 2: Develop physiologically based mathematical models of Circadian Rhythm Sleep-Wake Disorders that can be used to tailor individual treatment plans.
Aim 3: Perform a pilot study in which we incorporate model-guided treatment plans into a digital health intervention across multiple international clinics.
StatusFinished
Effective start/end date1/01/20 → 30/06/21