AIMC Topic: Animals
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Prediction of acute toxicity of organic contaminants to fish: Model development and a novel approach to identify reactive substructures.
Journal of hazardous materials
Mar 12, 2025
In this study, count-based Morgan fingerprints (CMF) were employed to represent the fundamental chemical structures of contaminants, and a neural network model (R² = 0.76) was developed to predict acute fish toxicity (AFT) of organic compounds. Model...
Leveraging AlphaFold models to predict androgenic effects of endocrine-disrupting chemicals through zebrafish androgen receptor analysis.
Toxicology mechanisms and methods
Mar 12, 2025
The androgen receptor (AR) activation by androgens is vital for tissue development, sexual differentiation, and reproductive attributes in zebrafish (). However, our understanding of the molecular mechanisms behind their activation remains limited. I...
Interpretable deep learning for deconvolutional analysis of neural signals.
Neuron
Mar 12, 2025
The widespread adoption of deep learning to model neural activity often relies on "black-box" approaches that lack an interpretable connection between neural activity and network parameters. Here, we propose using algorithm unrolling, a method for in...
Machine Learning for Quantitative Prediction of Protein Adsorption on Well-Defined Polymer Brush Surfaces with Diverse Chemical Properties.
Langmuir : the ACS journal of surfaces and colloids
Mar 12, 2025
Polymer informatics has attracted increasing attention because machine learning can establish quantitative structure-property relationships in polymer materials. Understanding and controlling protein adsorption on polymer surfaces are crucial for var...
Liquid-bodied antibiofilm robot with switchable viscoelastic response for biofilm eradication on complex surface topographies.
Science advances
Mar 12, 2025
Recalcitrant biofilm infections pose a great challenge to human health. Micro- and nanorobots have been used to eliminate biofilm infections in hard-to-reach regions inside the body. However, applying antibiofilm robots under physiological conditions...
FlyVISTA, an integrated machine learning platform for deep phenotyping of sleep in .
Science advances
Mar 12, 2025
There is great interest in using genetically tractable organisms such as to gain insights into the regulation and function of sleep. However, sleep phenotyping in has largely relied on simple measures of locomotor inactivity. Here, we present FlyVI...
Capillariid diversity in archaeological material from the New and the Old World: clustering and artificial intelligence approaches.
Parasites & vectors
Mar 12, 2025
BACKGROUND: Capillariid nematode eggs have been reported in archaeological material in both the New and the Old World, mainly in Europe and South America. They have been found in various types of samples, as coprolites, sediments from latrines, pits,...
Zebrafish identification with deep CNN and ViT architectures using a rolling training window.
Scientific reports
Mar 12, 2025
Zebrafish are widely used in vertebrate studies, yet minimally invasive individual tracking and identification in the lab setting remain challenging due to complex and time-variable conditions. Advancements in machine learning, particularly neural ne...
Of rats and robots: A mutual learning paradigm.
Journal of the experimental analysis of behavior
Mar 12, 2025
Robots are increasingly used alongside Skinner boxes to train animals in operant conditioning tasks. Similarly, animals are being employed in artificial intelligence research to train various algorithms. However, both types of experiments rely on uni...
S-ketamine exposure in early postnatal period induces social deficit mediated by excessive microglial synaptic pruning.
Molecular psychiatry
Mar 11, 2025
The impact of general anesthetics on neurodevelopment is highly controversial in terms of clinical and preclinical studies. Evidence mounted in recent years indicated development of social cognitions was more susceptible to general anesthesia in earl...
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