AIMC Topic: Animals

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ViNe-Seg: deep-learning-assisted segmentation of visible neurons and subsequent analysis embedded in a graphical user interface.

Bioinformatics (Oxford, England)
SUMMARY: Segmentation of neural somata is a crucial and usually the most time-consuming step in the analysis of optical functional imaging of neuronal microcircuits. In recent years, multiple auto-segmentation tools have been developed to improve the...

Advancing entity recognition in biomedicine via instruction tuning of large language models.

Bioinformatics (Oxford, England)
MOTIVATION: Large Language Models (LLMs) have the potential to revolutionize the field of Natural Language Processing, excelling not only in text generation and reasoning tasks but also in their ability for zero/few-shot learning, swiftly adapting to...

Analysis of Emerging Variants of Turkey Reovirus using Machine Learning.

Briefings in bioinformatics
Avian reoviruses continue to cause disease in turkeys with varied pathogenicity and tissue tropism. Turkey enteric reovirus has been identified as a causative agent of enteritis or inapparent infections in turkeys. The new emerging variants of turkey...

Deep-learning based flat-fielding quantitative phase contrast microscopy.

Optics express
Quantitative phase contrast microscopy (QPCM) can realize high-quality imaging of sub-organelles inside live cells without fluorescence labeling, yet it requires at least three phase-shifted intensity images. Herein, we combine a novel convolutional ...

Application and effectiveness of artificial intelligence for the border management of imported frozen fish in Taiwan.

Journal of food and drug analysis
In Taiwan, the number of applications for inspecting imported food has grown annually and noncompliant products must be accurately detected in these border sampling inspections. Previously, border management has used an automated border inspection sy...

[Effect of enzybiotics on the healing of Staphylococcus aureus-infected skin wounds in a pig model].

Klinicka mikrobiologie a infekcni lekarstvi
INTRODUCTION: Staphylococcus aureus is a gram-positive, facultatively anaerobic coccus capable of causing infectious diseases in animals and humans. Especially dangerous are multidrug-resistant forms with poor or even no response to available treatme...

Workspace and dexterity analysis of the hybrid mechanism master robot in Sina robotic telesurgery system: An in vivo experiment.

The international journal of medical robotics + computer assisted surgery : MRCAS
Sina robotic telesurgery system has been introduced recently to provide ergonomic postures for the surgeon along with dexterous workspace for robotic telesurgery. The robot is described, and the forward and inverse kinematics are derived and validate...

DeepLocRNA: an interpretable deep learning model for predicting RNA subcellular localization with domain-specific transfer-learning.

Bioinformatics (Oxford, England)
MOTIVATION: Accurate prediction of RNA subcellular localization plays an important role in understanding cellular processes and functions. Although post-transcriptional processes are governed by trans-acting RNA binding proteins (RBPs) through intera...

MyoV: a deep learning-based tool for the automated quantification of muscle fibers.

Briefings in bioinformatics
Accurate approaches for quantifying muscle fibers are essential in biomedical research and meat production. In this study, we address the limitations of existing approaches for hematoxylin and eosin-stained muscle fibers by manually and semiautomatic...

AgeAnnoMO: a knowledgebase of multi-omics annotation for animal aging.

Nucleic acids research
Aging entails gradual functional decline influenced by interconnected factors. Multiple hallmarks proposed as common and conserved underlying denominators of aging on the molecular, cellular and systemic levels across multiple species. Thus, understa...