AIMC Topic: Animals

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Artificial intelligence-based dairy cattle behavior recognition for estrus detection via ensemble fusion of two camera views.

PloS one
Monitoring cattle behavior plays an important role in improving farm productivity, maintaining animal welfare, and supporting efficient management practices. This study presents a multi-view behavior recognition system that uses synchronized top-view...

To see or not to see the vet: A vignette-based study of decision-making by UK dog owners regarding seeking veterinary care for commonly presenting conditions.

PloS one
Barriers to accessing veterinary-care for dog-owners are diverse and dynamic, and widely accepted as major canine welfare threats because of potential non-, under- or delayed treatment. Owner knowledge and perceptions are recognised as key influences...

FLYNC: a machine-learning-driven framework for discovering long noncoding RNAs in Drosophila melanogaster.

NAR genomics and bioinformatics
Noncoding RNAs have increasingly recognized roles in critical molecular mechanisms of disease. However, the noncoding genome of Drosophila melanogaster, one of the most powerful disease model organisms, has been understudied. Here, we present FLYNC-F...

Deep-learning analysis of 3D microarchitectural remodeling in hypertrophic cardiomyopathy.

Science (New York, N.Y.)
Hypertrophic cardiomyopathy (HCM), a genetic heart disease defined by unexplained cardiac wall thickening, is a leading cause of sudden death worldwide. However, the three-dimensional organization of cardiac tissue underlying left ventricular hypertr...

Properties of AgNPs stabilized with polyvinylpyrrolidone relevant to antidiabetic agents.

Nanoscale
Type 2 diabetes mellitus (DM2) is a chronic metabolic disease. Silver nanoparticles (AgNPs) show promise in their treatment. This study assessed the potential of AgNPs as DM2 treatment agent using in vitro, in vivo, and machine learning approaches. M...

Machine learning and multi-omics integration identifies immunological predictors and mechanistic insights in autoimmune encephalitis.

Inflammation research : official journal of the European Histamine Research Society ... [et al.]
OBJECTIVE: To develop an interpretable prognostic prediction model for autoimmune encephalitis (AE) using immunological indicators and to investigate the potential role of nucleophosmin (NPM1) in disease pathogenesis through multi-omics approaches.

Application of copper based single-atom nanozymes in wound healing and tumor treatment.

Journal of materials chemistry. B
Single-atom nanozymes (SANs) with transition metals as their core are nanomaterials characterized by atomically dispersed active sites and intrinsic enzyme-mimicking activity, exhibiting ultrahigh catalytic efficiency. As an essential trace element a...

ReaGP: integrating residual units and attention mechanisms in convolution neural network for genomic prediction.

Genetics, selection, evolution : GSE
BACKGROUND: Various methods have been widely utilized to estimate the genomic breeding values (GEBVs) for genomic prediction. Traditional approaches often relied on the assumption of linear regression models, which struggle to effectively capture the...

Fishes Go MOO: Pareto analysis of speed and cost of transport across a 6-dimensional design space.

Bioinspiration & biomimetics
Aquatic organisms exhibit remarkable diversity in swimming strategies, even within shared modes such as body-caudal fin (BCF) propulsion. Here, we investigate the biomechanical underpinnings of BCF swimming by mapping performance trade-offs across a ...

Nanobodies targeting ion channels: advancing therapeutics through precision and structural insights.

Chemical communications (Cambridge, England)
Ion channels, which are integral to cellular signaling and homeostasis, are implicated in a variety of diseases, including neurological disorders, cardiovascular conditions, and cancers. Despite their importance, targeting ion channels therapeuticall...