Cheng Lab

Research focus

NIH R01 · 2025

A multi-sensor machine learning approach to precision sleep tracking for nightshift workers

Project Summary/Abstract All essential 24-hr operations (e.g., first responders, hospital services) rely on nightshift workers who forgo nocturnal sleep for work. Shift workers comprise 20% of the workforce, with 15 million regularly working nights. Most do not adapt to the inverted sleep-wake schedule, especially as they are provided little to no support in managing this challenge. Because nightshifts are critical to safety-sensitive operations, impaired sleep health and performance increases risks for catastrophic accidents, making the well-being of nightshift workers an issue of public health and safety. Given this landscape, there is an urgent need for precision sleep medicine solutions…

From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.