AIMC Topic: Swine

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Characterizing the Immune Response in Pig-to-Human Heart Xenografts Using a Multimodal Diagnostic System.

Circulation
BACKGROUND: Porcine genome editing has revolutionized xenotransplantation, recently enabling the first pig-to-human heart xenotransplants. However, the xenoimmune response in heart xenografts remains largely unexplored. This study aimed to precisely ...

A novel approach to porcine abnormal sounds recognition based on improved Multi-SVDD.

PloS one
During the real-time recognition of porcine abnormal sounds, the accuracy and stability of the recognition method are crucial to guarantee a good performance. For this purpose, an improved Multiple-Support Vector Data Description (Multi-SVDD) is prop...

Machine learning framework for investigating nano- and micro-scale particle diffusion in colonic mucus.

Journal of nanobiotechnology
Biosimilar artificial mucus models that mimic native mucus facilitate efficient, lab-based drug diffusion studies, addressing the costly and challenging preclinical phase of drug development, especially for nano- and micro-scale particle-based coloni...

Machine learning based on pangenome-wide association studies reveals the impact of host source on the zoonotic potential of closely related bacterial pathogens.

Communications biology
Variations in host species significantly impact bacterial growth traits and antibiotic resistance, making it essential to consider host origin when evaluating the zoonotic potential of pathogens. This study focuses on multiple Brucella species, which...

Enhanced bi-branch deep learning network for in vivo hyperspectral imaging recognition of organs and tissues.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Hyperspectral imaging, as an emerging medical imaging technology, offers significant potential in biomedical research due to its ability in capturing rich spectral information. An enhanced bi-branch network integrating graph convolutional network (GC...

Toroidal indentation for measuring cell and tissue mechanical anisotropy.

Acta biomaterialia
Indentation-based mechanical tests are advantageous for measuring tissue and cell stiffness due to their simplicity and ability to probe samples non-destructively. Most commonly, spherical or pyramidal probes are used, and Hertzian analysis is applie...

Smartphone-based fluorescence Eu/Ce-MOFs hydrogel sensor for sensitive and visual detection of tetracyclines with machine learning-assistance.

Food chemistry
The excessive use of tetracyclines (TCs) poses a significant threat to human health, necessitating the development of convenient, rapid, and intelligent detection methods for monitoring TCs residues in food products. In this work, we present a hetero...

Automatic porcine diarrhea viruses classification using pathological images and hybrid semantic neural network.

Computers in biology and medicine
Porcine epidemic diarrhea is a highly contagious intestinal disease in pigs, caused by various strains of porcine epidemic diarrhea virus (PEDV). The infection rate in suckling piglets can reach 100%. Manual analysis of pathological images is the pri...

The screen of the key differential taste substances and its metabolic pathways for different grades of Jinhua hams based on untargeted metabolomics.

Food chemistry
Different grades of Jinhua hams have distinct tastes. However, the key differential taste substances and its metabolic pathways among the four grades of Jinhua ham have not been studied. This study used TVB-N to analyze the degree of protein oxidatio...