Results 51 to 60 of about 331,232 (268)

Beyond digital twins: the role of foundation models in enhancing the interpretability of multiomics modalities in precision medicine

open access: yesFEBS Open Bio, EarlyView.
This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi   +2 more
wiley   +1 more source

Eye movement patterns correlate with overt emotional behaviours in rapid eye movement sleep

open access: yesScientific Reports, 2022
Growing evidence suggests that sleep plays a key role in regulating emotions. Rapid eye movements (REMs) in REM sleep could be associated with dreams emotions, but supporting evidence is indirect.
Jean-Baptiste Maranci   +8 more
doaj   +1 more source

METTL3 knockout accelerates hepatocarcinogenesis via inhibiting endoplasmic reticulum stress response

open access: yesFEBS Open Bio, EarlyView.
Liver‐specific knockout of N6‐methyladenosine (m6A) methyltransferase METTL3 significantly accelerated hepatic tumor initiation under various oncogenic challenges, contrary to the previously reported oncogenic role of METTL3 in liver cancer cell lines or xenograft models. Mechanistically, METTL3 deficiency reduced m6A deposition on Manf transcripts and
Bo Cui   +15 more
wiley   +1 more source

Changes in insomnia severity with advanced PAP therapy in patients with posttraumatic stress symptoms and comorbid sleep apnea: a retrospective, nonrandomized controlled study

open access: yesMilitary Medical Research, 2019
Background Sleep disorders frequently occur in posttraumatic stress disorder (PTSD) patients. Chronic insomnia is a common feature of and criteria for the diagnosis of PTSD. Another sleep disorder, obstructive sleep apnea (OSA), also occurs frequently in
Barry J. Krakow   +3 more
doaj   +1 more source

MULTI-PHACET: multidimensional clinical phenotyping of hospitalised acute COPD exacerbations

open access: yesERJ Open Research, 2021
Background The generic term “exacerbation” does not reflect the heterogeneity of acute exacerbations of COPD (AECOPD). We utilised a novel algorithmic strategy to profile exacerbation phenotypes based on underlying aetiologies.
Martin I. MacDonald   +8 more
doaj   +1 more source

Facilitating 1.5T MR‐Linac adoption: Workflow strategies and practical tips

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Background MR‐guided radiotherapy (MRgRT) offers new opportunities but also introduces workflow complexities requiring dedicated optimization. Implementing magnetic resonance linear accelerator (MR‐Linac) technology comes with challenges such as prolonged treatment times and workflow integration issues.
Madeline Michel   +9 more
wiley   +1 more source

Shift work, clinically significant sleep disorders and mental health in a representative, cross-sectional sample of young working adults

open access: yesScientific Reports, 2022
Mental health conditions confer considerable global disease burden in young adults, who are also the highest demographic to work shifts, and of whom 20% meet criteria for a sleep disorder.
Amy C. Reynolds   +12 more
doaj   +1 more source

Classifying sleep states using persistent homology and Markov chain: a Pilot Study [PDF]

open access: yesarXiv, 2020
Obstructive sleep Apnea (OSA) is a form of sleep disordered breathing characterized by frequent episodes of upper airway collapse during sleep. Pediatric OSA occurs in 1-5% of children and can related to other serious health conditions such as high blood pressure, behavioral issues, or altered growth.
arxiv  

Classification of sleep stages from EEG, EOG and EMG signals by SSNet [PDF]

open access: yesarXiv, 2023
Classification of sleep stages plays an essential role in diagnosing sleep-related diseases including Sleep Disorder Breathing (SDB) disease. In this study, we propose an end-to-end deep learning architecture, named SSNet, which comprises of two deep learning networks based on Convolutional Neuron Networks (CNN) and Long Short Term Memory (LSTM).
arxiv  

Home - About - Disclaimer - Privacy