AIMC Topic: Rats

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Vascular persistence following precision micropuncture.

Microcirculation (New York, N.Y. : 1994) Nov 10, 2023
OBJECTIVE: The success of engineered tissues continues to be limited by time to vascularization and perfusion. Recently, we described a simple microsurgical approach, termed micropuncture (MP), which could be used to rapidly vascularize an adjacently...
Tissue Scaffolds Silicones Angiogenesis Artificial Intelligence Animals Rats Punctures Tissue Engineering
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DeepMPSF: A Deep Learning Network for Predicting General Protein Phosphorylation Sites Based on Multiple Protein Sequence Features.

Journal of chemical information and modeling Nov 6, 2023
Phosphorylation, as one of the most important post-translational modifications, plays a key role in various cellular physiological processes and disease occurrences. In recent years, computer technology has been gradually applied to the prediction of...
Humans Proteins Animals Phosphorylation Deep Learning Amino Acid Sequence Mice Rats Protein Processing, Post-Translational
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E. globulus leaf EO exhibits anti-inflammatory effects by regulating GSDMD-mediated pyroptosis, thereby alleviating neurological impairment and neuroinflammation in experimental stroke mice.

Journal of ethnopharmacology Oct 30, 2023
ETHNOPHARMACOLOGICAL RELEVANCE: Aromatic and medicinal plants continue to be a major component of alternative and traditional medicine in the developing countries. Eucalyptus globulus (Labill.) is being employed to cultivation and production in China...
Anti-Inflammatory Agents NLR Family, Pyrin Domain-Containing 3 Protein Pyroptosis Rats Interleukin-6 Lipopolysaccharides Microglia Stroke Inflammation Anti-Infective Agents Animals Plant Leaves NF-kappa B Infarction, Middle Cerebral Artery Rats, Sprague-Dawley Tumor Necrosis Factor-alpha Mice Neuroinflammatory Diseases DNA-Binding Proteins
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Application of multiple-finding segmentation utilizing Mask R-CNN-based deep learning in a rat model of drug-induced liver injury.

Scientific reports Oct 16, 2023
Drug-induced liver injury (DILI) presents significant diagnostic challenges, and recently artificial intelligence-based deep learning technology has been used to predict various hepatic findings. In this study, we trained a set of Mask R-CNN-based de...
Artificial Intelligence Chemical and Drug Induced Liver Injury Deep Learning Rats Rats, Sprague-Dawley Algorithms Animals
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Discrimination of human and animal bloodstains using hyperspectral imaging.

Forensic science, medicine, and pathology Sep 18, 2023
Blood is the most encountered type of biological evidence in violent crimes and contains pertinent information to a forensic investigation. The false presumption that blood encountered at a crime scene is human may not be realised until after costly ...
Rabbits Forensic Medicine Hyperspectral Imaging Blood Stains Mice Rats Support Vector Machine Swine Cattle Humans Animals
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Comparison of Clinical Efficacy Between Da Vinci Robot-Assisted Ivor Lewis Esophagectomy and McKeown Esophagectomy for Middle and Lower Thoracic Esophageal Cancer: A Multicenter Propensity Score-Matched Study.

Annals of surgical oncology Sep 12, 2023
BACKGROUND: We compared the perioperative efficacy and safety of da Vinci robot-assisted Ivor Lewis esophagectomy and McKeown esophagectomy for middle and lower thoracic esophageal cancer.
Rats Treatment Outcome Robotics Animals Postoperative Complications Case-Control Studies Propensity Score Rats, Inbred Lew Esophagectomy Esophageal Neoplasms Anastomotic Leak Humans Retrospective Studies
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De Novo Design of κ-Opioid Receptor Antagonists Using a Generative Deep-Learning Framework.

Journal of chemical information and modeling Aug 9, 2023
Likely effective pharmacological interventions for the treatment of opioid addiction include attempts to attenuate brain reward deficits during periods of abstinence. Pharmacological blockade of the κ-opioid receptor (KOR) has been shown to abolish b...
Deep Learning Rats Analgesics, Opioid Animals Opioid-Related Disorders Narcotic Antagonists Receptors, Opioid, kappa
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Experimental validation of the free-energy principle with in vitro neural networks.

Nature communications Aug 7, 2023
Empirical applications of the free-energy principle are not straightforward because they entail a commitment to a particular process theory, especially at the cellular and synaptic levels. Using a recently established reverse engineering technique, w...
Models, Neurological Neurons Neural Networks, Computer Animals Rats
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A Weakly Supervised Deep Learning Framework for Whole Slide Classification to Facilitate Digital Pathology in Animal Study.

Chemical research in toxicology Aug 4, 2023
The pathology of animal studies is crucial for toxicity evaluations and regulatory assessments, but the manual examination of slides by pathologists remains time-consuming and requires extensive training. One inherent challenge in this process is the...
Animals Deep Learning Rats Artificial Intelligence Necrosis
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Identifying the active ingredients of carbonized Typhae Pollen by spectrum-effect relationship combined with MBPLS, PLS, and SVM algorithms.

Journal of pharmaceutical and biomedical analysis Aug 1, 2023
Typhae Pollen (TP) and its carbonized product (carbonized Typhae Pollen, CTP), as cut-and-dried herbal drugs, have been widely used in the form of slices in clinical settings. However, the two drugs exhibit a great difference in terms of their clinic...
Least-Squares Analysis Algorithms Animals Hemostatics Rats Support Vector Machine Flavonoids
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