AIMC Topic: Animals

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Establishment of an Infrared-Camera-Based Home-Cage Tracking System Goblotrop.

eNeuro
Studying locomotor activity in animal models is crucial for understanding physiological, behavioral, and pathological processes. This study aimed to develop an artificial intelligence-based tracking system called Goblotrop, designed to localize roden...

Automated segmentation of canine pulmonary masses in CT imaging using AI.

The veterinary quarterly
Primary pulmonary lung cancer is rare in dogs, and clinicians increasingly rely on advanced imaging for diagnosis and treatment planning. However, manual lesion segmentation can be time-consuming and subject to operator variability. This retrospectiv...

Rebuilding the gut ecosystem: Emerging strategies targeting the microbiota in antibiotic-associated diarrhea.

Acta microbiologica et immunologica Hungarica
Antibiotic-associated diarrhea (AAD) is a prevalent iatrogenic complication of antibiotic therapy, primarily triggered by dysbiosis and loss of intestinal homeostasis. The traditional interventions, such as empirical probiotic use, have shown a modes...

Machine learning and multi-omics integration reveal TRPV2 as a central regulator in bicuspid aortic valve calcification.

Biochemical and biophysical research communications
BACKGROUND: Bicuspid aortic valve (BAV), the most common congenital heart defect, is strongly predisposed to early calcification, yet the molecular drivers remain poorly defined. This study aims to identify the functional role of transient receptor p...

Descattering and image restoration with a transformer-based neural network in deep tissue imaging.

Proceedings of the National Academy of Sciences of the United States of America
Imaging biological structures deep inside tissues is crucial but challenging due to common light scattering. This study proposes a multiattention network that directly maps degraded scattering two-photon excitation fluorescence (TPEF) images to high-...

Multi-strategy dung beetle optimization for robust indoor object detection and tracking for visually impaired people with hybrid deep learning networks.

Scientific reports
Visually impaired people generally face many troubles in their everyday lives, and technical involvement might help them perform these tasks. Object detection is a significant aspect of computer vision (CV) and machine learning (ML), which plays a su...

Multiphoton microscopy and tissue clearing for 3D characterization of the vasculature and fibrosis remodeling in rat dystrophic skeletal muscle.

Scientific reports
Duchenne muscular dystrophy (DMD) is characterized by progressive muscle fiber degeneration and replacement by fibrous and adipose tissues, alongside significant vascular abnormalities. Traditional two-dimensional (2D) histological assessments provid...

Proximity to water shapes the distribution of natural elephant mortality in Hwange National Park, Zimbabwe.

Scientific reports
While elephant poaching has received considerable attention, natural mortality can at times surpass human-induced deaths, especially under environmental stress. Understanding the ecological drivers of natural elephant mortality is therefore crucial f...

Classification of images of bee pollen according to their producers.

PloS one
The food industry is witnessing a growing interest in pollen due to its nutritional and energy composition. Consumers of bee pollen are increasingly eager to learn about the origins of the products they purchase. Establishing the geographical origin ...

Engineering enhanced signal peptides: A high-throughput computational pipeline for optimizing therapeutic protein production in CHO cells.

New biotechnology
Rational design of signal peptides (SPs), crucial for efficient therapeutic protein secretion in Chinese hamster ovary (CHO) cells, remains challenging due to their context-dependency activity. To overcome this limitation and enable the discovery of ...