Fine tuned personalized machine learning models to detect insomnia risk based on data from a smart bed platform.

"Conflict of interest All authors of this study are directly and indirectly employed by Sleep Number Corporation. As employees of Sleep Number, the authors have both financial and professional interest in the success of the company's products. The authors, some of which have academic affiliations, have adhered to high ethical standards to ensure the accuracy, objectivity, and scientific integrity of the findings and conclusions. DG was employed by GlobalLogic. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision."

"The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was funded by Sleep Number Corporation."