AIMC Topic: Circadian Rhythm
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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...
Mining key circadian biomarkers for major depressive disorder by integrating bioinformatics and machine learning.
Aging
Jun 13, 2024
OBJECTIVE: This study aimed to identify key clock genes closely associated with major depressive disorder (MDD) using bioinformatics and machine learning approaches.
Prediction of heart failure patients with distinct left ventricular ejection fraction levels using circadian ECG features and machine learning.
PloS one
May 13, 2024
Heart failure (HF) encompasses a diverse clinical spectrum, including instances of transient HF or HF with recovered ejection fraction, alongside persistent cases. This dynamic condition exhibits a growing prevalence and entails substantial healthcar...
System-level time computation and representation in the suprachiasmatic nucleus revealed by large-scale calcium imaging and machine learning.
Cell research
Apr 11, 2024
The suprachiasmatic nucleus (SCN) is the mammalian central circadian pacemaker with heterogeneous neurons acting in concert while each neuron harbors a self-sustained molecular clockwork. Nevertheless, how system-level SCN signals encode time of the ...
A three-gene random forest model for diagnosing idiopathic pulmonary fibrosis based on circadian rhythm-related genes in lung tissue.
Expert review of respiratory medicine
Jan 31, 2024
BACKGROUND: The disorder of circadian rhythm could be a key factor mediating fibrotic lung disease Therefore, our study aims to determine the diagnostic value of circadian rhythm-related genes (CRRGs) in IPF.
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