AIMC Topic: Mice

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Integrative Analysis of Endothelial Cell Senescence-Related Genes in Idiopathic Pulmonary Fibrosis.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology
Idiopathic pulmonary fibrosis (IPF) is a progressive interstitial lung disease in which endothelial cell senescence (ECS) plays a key role. By integrating two GEO transcriptome datasets (145 IPF patients and 84 controls) and applying LASSO, SVM-RFE, ...

Reduction of photobleaching effects in photoacoustic imaging using noise agnostic, platform-flexible deep-learning methods.

Journal of biomedical optics
SIGNIFICANCE: Molecular photoacoustic (PA) imaging with exogenous dyes faces a significant challenge due to the photobleaching of the dye that can compromise tissue visualization, particularly in 3D imaging. Addressing this limitation can revolutioni...

Discovery of novel diagnostic biomarkers of hepatocellular carcinoma associated with immune infiltration.

Annals of medicine
OBJECTIVE: Diagnosis of hepatocellular carcinoma (HCC) remains challenging for clinicians. Machine learning approaches and big data analyses are viable strategies for identifying HCC diagnostic markers.

High-Quality CEST Mapping With Lorentzian-Model Informed Neural Representation.

IEEE transactions on bio-medical engineering
Chemical Exchange Saturation Transfer (CEST) MRI has demonstrated its remarkable ability to enhance the detection of macromolecules and metabolites with low concentrations. While CEST mapping is essential for quantifying molecular information, conven...

An antibody developability triaging pipeline exploiting protein language models.

mAbs
Therapeutic monoclonal antibodies (mAbs) are a successful class of biologic drugs that are frequently selected from phage display libraries and transgenic mice that produce fully human antibodies. However, binding affinity to the correct epitope is n...

Machine learning-assisted design of immunomodulatory lipid nanoparticles for delivery of mRNA to repolarize hyperactivated microglia.

Drug delivery
Regulating inflammatory microglia presents a promising strategy for treating neurodegenerative and autoimmune disorders, yet effective therapeutic agents delivery to these cells remains a challenge. This study investigates modified lipid nanoparticle...

Key RNA-binding proteins in renal fibrosis: a comprehensive bioinformatics and machine learning framework for diagnostic and therapeutic insights.

Renal failure
BACKGROUND: Renal fibrosis is a critical factor in chronic kidney disease progression, with limited diagnostic and therapeutic options. Emerging evidence suggests RNA-binding proteins (RBPs) are pivotal in regulating cellular mechanisms underlying fi...

Dissecting Shared Genetic Architecture of Thoracic Aortic Aneurysm and Aortic Related Traits and Identifying SplA/Ryanodine Receptor Domain and SOCS Box Containing 1 Involved in Smooth Muscle Phenotype Switching and Cell Senescence Through Alternative Splicing.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology
Machine learning was employed to annotate images of the thoracic aorta, resulting in the identification of additional thoracic-related targets. However, genetic evaluation of the associations among thoracic aortic traits and their shared genes is lac...

Innovative application of confocal Raman spectroscopy and Machine learning in cardiovascular diseases identification.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Myocardial hypertrophy and heart failure are leading causes of mortality in cardiovascular diseases, yet current diagnostic techniques lack the resolution to monitor molecular changes effectively. In this study, we employed confocal Raman spectroscop...

Metasurface-enhanced terahertz imaging for glioblastoma in orthotopic xenograft mouse model combined with neural network decision making.

Biosensors & bioelectronics
Terahertz (THz) optical sensing and imaging offer significant potential in a range of biological and medical applications owing to their low-energy, non-ionizing nature, and ultra-broadband spectral information, which includes numerous molecular fing...