AIMC Topic: Disease Models, Animal

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ML-AMPs designed through machine learning show antifungal activity against C. albicans and therapeutic potential on mice model with candidiasis.

Life sciences Feb 19, 2025
AIMS: C. albicans resistant strains have led to increasingly severe treatment challenges. Antimicrobial peptides with low resistance-inducing propensity for pathogens have been developed. A series of antimicrobial peptides de novo designed through ma...
Antifungal Agents Drug Resistance, Fungal Antimicrobial Peptides Candida albicans Disease Models, Animal Mice, Inbred BALB C Candidiasis Biofilms Microbial Sensitivity Tests Mice Machine Learning Female Animals
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Key RNA-binding proteins in renal fibrosis: a comprehensive bioinformatics and machine learning framework for diagnostic and therapeutic insights.

Renal failure Feb 16, 2025
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...
RNA-Binding Proteins Kidney Renal Insufficiency, Chronic Disease Models, Animal Single-Cell Analysis Mice Computational Biology Fibrosis Ureteral Obstruction Humans Machine Learning Biomarkers Animals
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Real-Time, AI-Guided Photodynamic Laparoscopy Enhances Detection in a Rabbit Model of Peritoneal Cancer Metastasis.

Cancer science Feb 10, 2025
Accurate diagnosis is essential for effective cancer treatment, particularly in peritoneal surface malignancies, where failure to detect metastatic lesions can mislead the treatment plan. This study assessed the diagnostic accuracy of staging laparos...
Female Animals Cell Line, Tumor Disease Models, Animal Artificial Intelligence Photosensitizing Agents Laparoscopy Rabbits Peritoneal Neoplasms
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Galactose-Induced Cataracts in Rats: A Machine Learning Analysis.

International journal of medical sciences Feb 10, 2025
Rat models are widely used to study cataracts due to their cost-effectiveness and prominent physiological and genetic similarities to humans The objective of this study was to identify genes involved in cataractogenesis due to galactose exposure in ...
Disease Models, Animal Cataract Lens, Crystalline Gene Expression Regulation Humans Male Galactose Machine Learning Gene Expression Profiling Rats Animals Transcription Factors
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Integration of single-cell and bulk RNA sequencing data using machine learning identifies oxidative stress-related genes LUM and PCOLCE2 as potential biomarkers for heart failure.

International journal of biological macromolecules Feb 8, 2025
Oxidative stress (OS) is a pivotal mechanism driving the progression of cardiovascular diseases, particularly heart failure (HF). However, the comprehensive characterisation of OS-related genes in HF remains largely unexplored. In the present study, ...
Animals Male Oxidative Stress Single-Cell Analysis Mice Sequence Analysis, RNA Disease Models, Animal Humans Machine Learning Biomarkers Heart Failure Extracellular Matrix Proteins Lumican
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Identification of hub biomarkers in liver post-metabolic and bariatric surgery using comprehensive machine learning (experimental studies).

International journal of surgery (London, England) Feb 1, 2025
BACKGROUND: The global prevalence of non-alcoholic fatty liver disease (NAFLD) is approximately 30%, and the condition can progress to non-alcoholic steatohepatitis, cirrhosis, and hepatocellular carcinoma. Metabolic and bariatric surgery (MBS) has b...
Humans Machine Learning Biomarkers Animals Liver Male Lipid Metabolism Mice Non-alcoholic Fatty Liver Disease Disease Models, Animal Bariatric Surgery Mice, Inbred C57BL
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Prediction of Pharmacoresistance in Drug-Naïve Temporal Lobe Epilepsy Using Ictal EEGs Based on Convolutional Neural Network.

Neuroscience bulletin Jan 27, 2025
Approximately 30%-40% of epilepsy patients do not respond well to adequate anti-seizure medications (ASMs), a condition known as pharmacoresistant epilepsy. The management of pharmacoresistant epilepsy remains an intractable issue in the clinic. Its ...
Animals Anticonvulsants Male Epilepsy, Temporal Lobe Convolutional Neural Networks Rats, Sprague-Dawley Phenytoin Rats Humans Disease Models, Animal Drug Resistant Epilepsy Female Neural Networks, Computer Electroencephalography Young Adult Adult
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Development and applications of a machine learning model for an in-depth analysis of pentylenetetrazol-induced seizure-like behaviors in adult zebrafish.

Neuroscience Jan 27, 2025
Epilepsy, a neurological disorder causing recurring seizures, is often studied in zebrafish by exposing animals to pentylenetetrazol (PTZ), which induces clonic- and tonic-like behaviors. While adult zebrafish seizure-like behaviors are well characte...
Diazepam Behavior, Animal Convulsants Valproic Acid Pentylenetetrazole Seizures Anticonvulsants Zebrafish Machine Learning Animals Disease Models, Animal
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Ledged Beam Walking Test Automatic Tracker: Artificial intelligence-based functional evaluation in a stroke model.

Computers in biology and medicine Jan 24, 2025
The quantitative evaluation of motor function in experimental stroke models is essential for the preclinical assessment of new therapeutic strategies that can be transferred to clinical research; however, conventional assessment tests are hampered by...
Artificial Intelligence Animals Male Disease Models, Animal Stroke Walking
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Efficient recognition of Parkinson's disease mice on stepping characters with CNN.

Scientific reports Jan 20, 2025
Parkinson's disease (PD), as the second most prevalent neurodegenerative disorder worldwide, impacts the quality of life for over 12 million patients. This study aims to enhance the accuracy of early diagnosis of PD through non-invasive methods, with...
Mice Disease Models, Animal Mice, Inbred C57BL Parkinson Disease Early Diagnosis Neural Networks, Computer Algorithms Animals Image Processing, Computer-Assisted
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