AIMC Topic: Animals

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Machine Learning-Based Prediction of the Inhibitory Activity of Chemical Substances Against Rat and Human Cytochrome P450s.

Chemical research in toxicology Oct 20, 2024
The prediction of cytochrome P450 inhibition by a computational (quantitative) structure-activity relationship approach using chemical structure information and machine learning would be useful for toxicity research as a simple and rapid tool. Howev...
Animals Rats Cytochrome P-450 Enzyme System Quantitative Structure-Activity Relationship Cytochrome P-450 Enzyme Inhibitors Humans Machine Learning Computer Simulation
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Machine learning reveals prominent spontaneous behavioral changes and treatment efficacy in humanized and transgenic Alzheimer's disease models.

Cell reports Oct 19, 2024
Computer-vision and machine-learning (ML) approaches are being developed to provide scalable, unbiased, and sensitive methods to assess mouse behavior. Here, we used the ML-based variational animal motion embedding (VAME) segmentation platform to ass...
Mice, Transgenic Female Amyloid beta-Protein Precursor Animals Male Mice, Inbred C57BL Humans Mice Machine Learning Alzheimer Disease Treatment Outcome Disease Models, Animal Behavior, Animal
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Artificial intelligence can be trained to predict -11 mutational status of canine mast cell tumors from hematoxylin and eosin-stained histological slides.

Veterinary pathology Oct 18, 2024
Numerous prognostic factors are currently assessed histologically and immunohistochemically in canine mast cell tumors (MCTs) to evaluate clinical behavior. In addition, polymerase chain reaction (PCR) is often performed to detect internal tandem dup...
Animals Deep Learning Staining and Labeling Artificial Intelligence Sensitivity and Specificity Proto-Oncogene Proteins c-kit Eosine Yellowish-(YS) Hematoxylin Mutation Dogs Dog Diseases
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Deep learning in disease vector image identification.

Pest management science Oct 18, 2024
Vector-borne diseases (VBDs) represent a critical global public health concern, with approximately 80% of the world's population at risk of one or more VBD. Manual disease vector identification is time-consuming and expert-dependent, hindering diseas...
Disease Vectors Vector Borne Diseases Animals Deep Learning Image Processing, Computer-Assisted
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A Novel Deep Learning Approach for Analyzing Glomerular Basement Membrane Lesions in a Mouse Model of X-Linked Alport Syndrome.

The American journal of pathology Oct 18, 2024
Alport syndrome is a rare kidney disease typically more severe in males due to its X-linked inheritance. However, female patients with heterozygous X-linked Alport syndrome (XLAS) can develop renal failure over time, necessitating accurate pathologic...
Deep Learning Mice Disease Models, Animal Collagen Type IV Glomerular Basement Membrane Nephritis, Hereditary Female Animals
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Unlocking therapeutic frontiers: harnessing artificial intelligence in drug discovery for neurodegenerative diseases.

Drug discovery today Oct 18, 2024
Neurodegenerative diseases (NDs) pose serious healthcare challenges with limited therapeutic treatments and high social burdens. The integration of artificial intelligence (AI) into drug discovery has emerged as a promising approach to address these ...
Humans Drug Discovery Drug Development Neurodegenerative Diseases Artificial Intelligence Precision Medicine Animals
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Predictive, integrative, and regulatory aspects of AI-driven computational toxicology - Highlights of the German Pharm-Tox Summit (GPTS) 2024.

Toxicology Oct 18, 2024
The 9th German Pharm-Tox Summit (GPTS) and the 90th Annual Meeting of the German Society for Experimental and Clinical Pharmacology and Toxicology (DGPT) took place in Munich from March 13-15, 2024. The event brought together over 700 participants fr...
Humans Toxicology Artificial Intelligence Machine Learning Animals Drug-Related Side Effects and Adverse Reactions Risk Assessment Germany Computational Biology
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Evaluating deep learning techniques for optimal neurons counting and characterization in complex neuronal cultures.

Medical & biological engineering & computing Oct 17, 2024
The counting and characterization of neurons in primary cultures have long been areas of significant scientific interest due to their multifaceted applications, ranging from neuronal viability assessment to the study of neuronal development. Traditio...
Algorithms Image Processing, Computer-Assisted Cell Count Neurons Cells, Cultured Animals Deep Learning
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"Dictionary of immune responses" reveals the critical role of monocytes and the core target IRF7 in intervertebral disc degeneration.

Frontiers in immunology Oct 17, 2024
BACKGROUND: Intervertebral disc degeneration (IDD) is widely regarded as the primary contributor to low back pain(LBP). As an immune-privileged organ, upon the onset of IDD, various components of the nucleus pulposus (NP) are exposed to the host's im...
Nucleus Pulposus Cytokines Gene Regulatory Networks Humans Animals Monocytes Machine Learning Mice Gene Expression Profiling Intervertebral Disc Degeneration Computational Biology Interferon Regulatory Factor-7
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A Biomimetic Adhesive Disc for Robotic Adhesion Sliding Inspired by the Net-Winged Midge Larva.

Soft robotics Oct 16, 2024
Net-winged midge larvae (Blephariceridae) are known for their remarkable ability to adhere to and crawl on the slippery surfaces of rocks in fast-flowing and turbulent alpine streams, waterfalls, and rivers. This remarkable performance can be attribu...
Thoracica Biomechanical Phenomena Animals Biomimetics Biomimetic Materials Wings, Animal Larva Robotics Equipment Design Friction Adhesiveness Adhesives
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