AIMC Topic: Animals

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Supervised and unsupervised learning reveal heroin-induced impairments in astrocyte structural plasticity.

Science advances
Astrocytes regulate synaptic activity across large brain territories via their complex, interconnected morphology. Emerging evidence supports the involvement of astrocytes in shaping relapse to opioid use through morphological rearrangements in the n...

Swimming in the "Matrix": VR fish pass the Turing test using a simple control law for collective behavior.

Science robotics
Immersive virtual reality reveals that a simple control model from fish schooling can be used to control autonomous vehicles.

Reverse engineering the control law for schooling in zebrafish using virtual reality.

Science robotics
Revealing the evolved mechanisms that give rise to collective behavior is a central objective in the study of cellular and organismal systems. In addition, understanding the algorithmic basis of social interactions in a causal and quantitative way of...

Machine learning and complex network analysis of drug effects on neuronal microelectrode biosensor data.

Scientific reports
Biosensors, such as microelectrode arrays that record in vitro neuronal activity, provide powerful platforms for studying neuroactive substances. This study presents a machine learning workflow to analyze drug-induced changes in neuronal biosensor da...

Digital pathology in veterinary clinical pathology: A review.

Veterinary pathology
Digital pathology has rapidly evolved in the field of veterinary medicine. Although digital histology advancements are widely discussed, clinical pathology specimens are also being digitized for a variety of purposes. These digital images can be used...

The impact of partner interaction on brief social buffering in adolescent female rats as analyzed by deep learning-based object detection algorithms.

Physiology & behavior
Social buffering is a phenomenon whereby the stress response of anyone exposed to a distressing stimulus is alleviated by the presence of conspecific(s). In this study, we aimed to determine whether brief buffering (only 3 min) with conspecific immed...

NeuroXiv: AI-powered open databasing and dynamic mining of brain-wide neuron morphometry.

Nature methods
Neuron morphology has been extensively reconstructed at the whole-brain scale by various projects in recent years. Here, to facilitate interactive exploration in a standardized and scalable manner, we introduce NeuroXiv (neuroxiv.org), a large-scale ...

Protein interactions, network pharmacology, and machine learning work together to predict genes linked to mitochondrial dysfunction in hypertrophic cardiomyopathy.

Scientific reports
This study looked at possible targets for hypertrophic cardiomyopathy (HCM), a condition marked by thickening of the ventricular wall, primarily in the left ventricle. We employed differential gene analysis and weighted gene co-expression network ana...

Transformer-based deep learning enables improved B-cell epitope prediction in parasitic pathogens: A proof-of-concept study on Fasciola hepatica.

PLoS neglected tropical diseases
BACKGROUND: The identification of B-cell epitopes (BCEs) is fundamental to advancing epitope-based vaccine design, therapeutic antibody development, and diagnostics, such as in neglected tropical diseases caused by parasitic pathogens. However, the s...

Using artificial intelligence-based software for an unbiased discrimination of immune cell subtypes in the fracture hematoma and bone marrow of non-osteoporotic and osteoporotic mice.

PloS one
It is well established that the early inflammatory response following fracture is essential for initiating subsequent bone regeneration. An imbalance in inflammation, whether within the innate or adaptive immune response, can result in impaired fract...