AIMC Topic: Circadian Rhythm
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Machine learning models highlight environmental and genetic factors associated with the Arabidopsis circadian clock.
Nature communications
Aug 5, 2025
The circadian clock of plants contributes to their survival and fitness. However, understanding clock function at the transcriptome level and its response to the environment requires assaying across high resolution time-course experiments. Generating...
Detection and Analysis of Circadian Biomarkers for Metabolic Syndrome Using Wearable Data: Cross-Sectional Study.
JMIR medical informatics
Jul 16, 2025
BACKGROUND: Wearable devices are increasingly used for monitoring health and detecting digital biomarkers related to chronic diseases such as metabolic syndrome (MetS). Although circadian rhythm disturbances are known to contribute to MetS, few studi...
Can circadian rhythms of heart rate variability identify major depressive disorder? - A study based on support vector machine analysis.
Asian journal of psychiatry
Jul 3, 2025
BACKGROUND: Major depressive disorder (MDD) is a prevalent and severe psychiatric condition for which objective diagnostic tools are lacking. Heart rate variability (HRV), an index of autonomic nervous system (ANS) function, has shown potential for d...
Sleep Identification Enabled by Supervised Training Algorithms (SIESTA): An Open-Source Platform for Automatic Sleep Staging of Rodent Electrocorticographic and Electromyographic Data.
Journal of biological rhythms
Jun 6, 2025
Accurately capturing the temporal distribution of polysomnographic sleep stages is critical for the study of sleep function, regulation, and disorders in higher vertebrates. In laboratory rodents, scoring of electrocorticography (ECoG) and electromyo...
Circadian rhythm modulation in heart rate variability as potential biomarkers for major depressive disorder: A machine learning approach.
Journal of psychiatric research
Mar 4, 2025
Major depressive disorder (MDD) is associated with reduced heart rate variability (HRV), but its link to circadian rhythm modulation (CRM) of HRV is unclear. Given that depression disrupts circadian rhythms, assessing HRV fluctuations may better capt...
Machine learning model for menstrual cycle phase classification and ovulation day detection based on sleeping heart rate under free-living conditions.
Computers in biology and medicine
Jan 30, 2025
The accurate classification of menstrual cycle phases and detection of ovulation is critical for women's health management, particularly in addressing infertility, alleviating premenstrual syndrome, and preventing hormone-related disorders. However, ...
Machine Learning Models for Predicting 24-Hour Intraocular Pressure Changes: A Comparative Study.
Medical science monitor : international medical journal of experimental and clinical research
Dec 3, 2024
BACKGROUND Predicting 24-hour intraocular pressure (IOP) fluctuations is crucial for enhancing glaucoma management. Traditional methods of measuring 24-hour IOP fluctuations are complex and present certain limitations. The present study leverages mac...
Machine learning reveals the transcriptional regulatory network and circadian dynamics of PCC 7942.
Proceedings of the National Academy of Sciences of the United States of America
Sep 13, 2024
is an important cyanobacterium that serves as a versatile and robust model for studying circadian biology and photosynthetic metabolism. Its transcriptional regulatory network (TRN) is of fundamental interest, as it orchestrates the cell's adaptatio...
Measuring activity-rest rhythms under different acclimation periods in a marine fish using automatic deep learning-based video tracking.
Chronobiology international
Jul 8, 2024
Most organisms synchronize to an approximately 24-hour (circadian) rhythm. This study introduces a novel deep learning-powered video tracking method to assess the stability, fragmentation, robustness and synchronization of activity rhythms in . Exper...
Identifying novel circadian rhythm biomarkers for diagnosis and prognosis of melanoma by an integrated bioinformatics and machine learning approach.
Aging
Jun 20, 2024
Melanoma is a highly malignant skin tumor with poor prognosis. Circadian rhythm is closely related to melanoma pathogenesis. This study aimed to identify key circadian rhythm genes (CRGs) in melanoma and explore their potential as diagnostic and prog...
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