AIMC Topic: Mice
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Accelerated EPR imaging using deep learning denoising.
Magnetic resonance in medicine
Jul 1, 2025
PURPOSE: Trityl OXO71-based pulse electron paramagnetic resonance imaging (EPRI) is an excellent technique to obtain partial pressure of oxygen (pO) maps in tissues. In this study, we used deep learning techniques to denoise 3D EPR amplitude and pO m...
Identification of potential biomarkers in cardiovascular calcification based on bioinformatics combined with single-cell RNA-seq and multiple machine learning analysis.
Cellular signalling
Jul 1, 2025
BACKGROUND: The molecular and genetic mechanisms underlying vascular calcification remain unclear. This study aimed to determine the differences in calcification marker-related gene expression in macrophages.
Hugan Tiaoshen Formula Improves the Comorbid Mechanism of Schizophrenia and Sleep Disorder via Multitarget Interaction Network.
FASEB journal : official publication of the Federation of American Societies for Experimental Biology
Jun 30, 2025
This study aims to integrate cross-disease omics data and perform multidimensional analysis to uncover the molecular basis of schizophrenia (SCZ) and sleep disorder (SD) comorbidity and to systematically analyze the potential mechanism of the Hugan T...
Antimicrobial peptide developed with machine learning sequence optimization targets drug resistant Staphylococcus aureus in mice.
The Journal of clinical investigation
Jun 16, 2025
As antimicrobial resistance rises, new antibacterial candidates are urgently needed. Using sequence space information from over 14,743 functional antimicrobial peptides (AMPs), we improved the antimicrobial properties of citropin 1.1, an AMP with wea...
Unveiling the systemic impact of airborne microplastics: Integrating breathomics and machine learning with dual-tissue transcriptomics.
Journal of hazardous materials
Jun 15, 2025
Airborne microplastics (MPs) pose significant respiratory and systemic health risks upon inhalation; however, current assessment methods remain inadequate. This study integrates breathomics and transcriptomics to establish a non-invasive approach for...
Multiplexing and Sensing with Fluorescence Lifetime Imaging Microscopy Empowered by Phasor U-Net.
Analytical chemistry
Jun 3, 2025
Fluorescence lifetime imaging microscopy (FLIM) has been widely used as an essential multiplexing and sensing tool in frontier fields such as materials science and life sciences. However, the accuracy of lifetime estimation is compromised by limited ...
AI Quantification of Vascular Lesions in Mouse Fundus Fluorescein Angiography.
Translational vision science & technology
Jun 2, 2025
PURPOSE: Quantifying vascular leakage in fundus fluorescein angiography (FFA) is a critical endpoint in preclinical models of diseases such as neovascular age-related macular degeneration, retinopathy of prematurity, and diabetic retinopathy. Traditi...
Integrative network and computational toxicology reveal the molecular mechanisms in PFOA-induced spermatogenic disorder.
Journal of environmental management
Jun 1, 2025
Perfluorooctanoic acid (PFOA), a widely used industrial chemical, poses significant environmental and biological toxicity, particularly affecting reproductive health. This study aimed to integrate network toxicology, machine learning, and molecular d...
Characterization of ROMK cellular heterogeneity along the mouse kidney thick ascending limb.
Pflugers Archiv : European journal of physiology
Jun 1, 2025
The renal thick ascending limb (TAL) plays a key role in water and ion homeostasis. Apical potassium secretion via the renal outer medullary potassium channel (ROMK) is essential for transepithelial sodium reabsorption via the furosemide-sensitive Na...
Eigenhearts: Cardiac diseases classification using eigenfaces approach.
Computers in biology and medicine
Jun 1, 2025
In the realm of cardiovascular medicine, medical imaging plays a crucial role in accurately classifying cardiac diseases and making precise diagnoses. However, the integration of data science techniques in this field presents significant challenges, ...
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