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Neural network auto-segmentation of serial-block-face scanning electron microscopy images exhibit collagen fibril structural differences with tendon type and health.
Journal of orthopaedic research : official publication of the Orthopaedic Research Society
Aug 23, 2024
A U-Net machine learning algorithm was adapted to automatically segment tendon collagen fibril cross-sections from serial block face scanning electron microscopy (SBF-SEM) and create three-dimensional (3D) renderings. We compared the performance of r...
Machine learning model for non-alcoholic steatohepatitis diagnosis based on ultrasound radiomics.
BMC medical imaging
Aug 20, 2024
BACKGROUND: Non-Alcoholic Steatohepatitis (NASH) is a crucial stage in the progression of Non-Alcoholic Fatty Liver Disease(NAFLD). The purpose of this study is to explore the clinical value of ultrasound features and radiological analysis in predict...
The metabolic clock of ketamine abuse in rats by a machine learning model.
Scientific reports
Aug 14, 2024
Ketamine has recently become an anesthetic drug used in human and veterinary clinical medicine for illicit abuse worldwide, but the detection of illicit abuse and inference of time intervals following ketamine abuse are challenging issues in forensic...
Machine learning of Raman spectra predicts drug release from polysaccharide coatings for targeted colonic delivery.
Journal of controlled release : official journal of the Controlled Release Society
Aug 12, 2024
Colonic drug delivery offers numerous pharmaceutical opportunities, including direct access to local therapeutic targets and drug bioavailability benefits arising from the colonic epithelium's reduced abundance of cytochrome P450 enzymes and particul...
RS-Net: An end-to-end deep learning framework for rodent skull stripping in multi-center brain MRI.
NeuroImage
Aug 8, 2024
Skull stripping is a crucial preprocessing step in magnetic resonance imaging (MRI), where experts manually create brain masks. This labor-intensive process heavily relies on the annotator's expertise, as automation faces challenges such as low tissu...
Synthesis of higher-B CEST Z-spectra from lower-B data via deep learning and singular value decomposition.
NMR in biomedicine
Aug 7, 2024
Chemical exchange saturation transfer (CEST) MRI at 3 T suffers from low specificity due to overlapping CEST effects from multiple metabolites, while higher field strengths (B) allow for better separation of Z-spectral "peaks," aiding signal interpre...
Multi-parametric MRI-based machine learning model for prediction of pathological grade of renal injury in a rat kidney cold ischemia-reperfusion injury model.
BMC medical imaging
Jul 26, 2024
BACKGROUND: Renal cold ischemia-reperfusion injury (CIRI), a pathological process during kidney transplantation, may result in delayed graft function and negatively impact graft survival and function. There is a lack of an accurate and non-invasive t...
Identification of eupneic breathing using machine learning.
Journal of neurophysiology
Jul 25, 2024
The diaphragm muscle (DIAm) is the primary inspiratory muscle in mammals. In awake animals, considerable heterogeneity in the electromyographic (EMG) activity of the DIAm reflects varied ventilatory and nonventilatory behaviors. Experiments in awake ...
Accelerating multipool CEST MRI of Parkinson's disease using deep learning-based Z-spectral compressed sensing.
Magnetic resonance in medicine
Jul 24, 2024
PURPOSE: To develop a deep learning-based approach to reduce the scan time of multipool CEST MRI for Parkinson's disease (PD) while maintaining sufficient prediction accuracy.
Automated identification and segmentation of urine spots based on deep-learning.
PeerJ
Jul 18, 2024
Micturition serves an essential physiological function that allows the body to eliminate metabolic wastes and maintain water-electrolyte balance. The urine spot assay (VSA), as a simple and economical assay, has been widely used in the study of mictu...
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