AIMC Topic: Animals

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Endocrine disruptor identification and multitoxicity level assessment of organic chemicals: An example of multiple machine learning models.

Journal of hazardous materials Dec 15, 2024
Endocrine-disrupting chemicals (EDCs) pollution is a major global environmental issue. Assessing the multiple toxic effects of EDCs is key to managing their risks. This study successfully developed an EDCs classification and recognition model based o...
Organic Chemicals Machine Learning Environmental Pollutants Algorithms Neural Networks, Computer Molecular Dynamics Simulation Animals Endocrine Disruptors
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Automated identification of Chagas disease vectors using AlexNet pre-trained convolutional neural networks.

Medical and veterinary entomology Dec 13, 2024
The 158 bug species that make up the subfamily Triatominae are the potential vectors of Trypanosoma cruzi, the etiological agent of Chagas disease. Despite recent progress in developing a picture-based automated system for identification of triatomin...
Triatominae Rhodnius Neural Networks, Computer Animals Deep Learning Chagas Disease Insect Vectors Convolutional Neural Networks Trypanosoma cruzi
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Anxiety in aquatics: Leveraging machine learning models to predict adult zebrafish behavior.

Neuroscience Dec 13, 2024
Accurate analysis of anxiety behaviors in animal models is pivotal for advancing neuroscience research and drug discovery. This study compares the potential of DeepLabCut, ZebraLab, and machine learning models to analyze anxiety-related behaviors in ...
Behavior, Animal Support Vector Machine Disease Models, Animal Zebrafish Machine Learning Animals Anxiety
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Artificial intelligence-driven hydrogel microneedle patches integrating 5-fluorouracil inclusion complex-loaded flexible pegylated liposomes for enhanced non-melanoma skin cancer treatment.

International journal of pharmaceutics Dec 13, 2024
The current study focused on the development of crosslinked hydrogel microneedle patches (cHMNs) incorporating 5-FU-hydroxypropyl beta-cyclodextrin inclusion complex-loaded flexible PEGylated liposomes (5-FU-HPβCD-loaded FP-LPs) to enhance treatment ...
Humans Artificial Intelligence Animals Cell Line, Tumor Administration, Cutaneous Skin Neoplasms Polyethylene Glycols Transdermal Patch Drug Delivery Systems Needles Hydrogels Mice 2-Hydroxypropyl-beta-cyclodextrin Antimetabolites, Antineoplastic Liposomes Skin Skin Absorption Fluorouracil
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Voice Analysis in Dogs with Deep Learning: Development of a Fully Automatic Voice Analysis System for Bioacoustics Studies.

Sensors (Basel, Switzerland) Dec 13, 2024
Extracting behavioral information from animal sounds has long been a focus of research in bioacoustics, as sound-derived data are crucial for understanding animal behavior and environmental interactions. Traditional methods, which involve manual revi...
Fourier Analysis Voice Neural Networks, Computer Dogs Animals Acoustics Deep Learning Vocalization, Animal
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Multibody system dynamics for bio-robotic design and simulation based on inching-locomotion caterpillar's gait: MBD-ILAR method.

Bioinspiration & biomimetics Dec 13, 2024
Inching-locomotion caterpillars (ILAR) inspire the design of 'inch-worm' robots with biomimicry features, that can be adapted to different environments, such as natural, man-made, or other planets. Therefore, this work defines a novel mathematical me...
Computer Simulation Biomechanical Phenomena Animals Algorithms Models, Biological Robotics Biomimetics Locomotion Equipment Design Gait Moths
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Adapting to time: Why nature may have evolved a diverse set of neurons.

PLoS computational biology Dec 13, 2024
Brains have evolved diverse neurons with varying morphologies and dynamics that impact temporal information processing. In contrast, most neural network models use homogeneous units that vary only in spatial parameters (weights and biases). To explor...
Neurons Nerve Net Adaptation, Physiological Biological Evolution Computational Biology Humans Models, Neurological Neural Networks, Computer Action Potentials Brain Animals
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Neural networks with optimized single-neuron adaptation uncover biologically plausible regularization.

PLoS computational biology Dec 13, 2024
Neurons in the brain have rich and adaptive input-output properties. Features such as heterogeneous f-I curves and spike frequency adaptation are known to place single neurons in optimal coding regimes when facing changing stimuli. Yet, it is still u...
Animals Computational Biology Models, Neurological Algorithms Brain Computer Simulation Adaptation, Physiological Action Potentials Neurons Nerve Net Humans Neural Networks, Computer
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Advanced vision transformers and open-set learning for robust mosquito classification: A novel approach to entomological studies.

PLoS computational biology Dec 13, 2024
Mosquito-related diseases pose a significant threat to global public health, necessitating efficient and accurate mosquito classification for effective surveillance and control. This work presents an innovative approach to mosquito classification by ...
Humans Neural Networks, Computer Algorithms Culicidae Entomology Mosquito Vectors Animals Deep Learning Computational Biology
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Functional MRGPRX2 expression on peripheral blood-derived human mast cells increases at low seeding density and is suppressed by interleukin-9 and fetal bovine serum.

Frontiers in immunology Dec 13, 2024
Primary human mast cells (MC) obtained through culturing of blood-derived MC progenitors are the preferred model for the study of MRGPRX2- IgE-mediated MC activation. In order to assess the impact of culture conditions on functional MRGPRX2 express...
Receptors, Neuropeptide Cattle Humans Nerve Tissue Proteins Interleukin-9 Receptors, G-Protein-Coupled Cells, Cultured Mast Cells Animals
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