Final Report : InsomniaO'clock - new technology to insomnia detection algorithm

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<abstract displayLabel="Summary">This document presents the final report of the InsomniaO'clock project, which focuses on the development of an innovative algorithm for the objective detection of insomnia using circadian biomarkers and machine learning techniques. The study analyzes alterations in hormones, body temperature, and the gene expression of the biological clock in patients with chronic insomnia. It describes the clinical, experimental, and computational methods used, as well as the results obtained in patient and control cohorts. The findings demonstrate the algorithm's ability to differentiate patients with insomnia and its subtypes, highlighting its diagnostic and clinical potential</abstract>
<note type="statement of responsibility">Ana Rita Álvaro, Catarina Carvalhas-Almeida, Cláudia Cavadas</note>
<note>Final report on the research conducted with the support of the Ignacio H. de Larramendi Research Grant from Fundación Mapfre, 2023 call for proposals. Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal</note>
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