AIMC Topic: Animals
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Elucidating the selection mechanisms in context-dependent computation through low-rank neural network modeling.
eLife
Jul 3, 2025
Humans and animals exhibit a remarkable ability to selectively filter out irrelevant information based on context. However, the neural mechanisms underlying this context-dependent selection process remain elusive. Recently, the issue of discriminatin...
Enhancing aquatic ecosystem monitoring through fish jumping behavior analysis and YOLOV5: Applications in freshwater fish identification.
Journal of environmental management
Jul 2, 2025
Traditional fish monitoring methods suffer from limited continuity and significant uncertainty in tracking population distribution. This study develops recognition rules using the inherent variability in fish jumping behavior, influenced by habitat d...
Dual-Channel Catalytic Immunochromatography Empowered by Machine Learning: Ultrasensitive Detection of O157:H7 via Magnetic CoFeO@HRP Nanocomposites.
Analytical chemistry
Jul 2, 2025
Traditional immunochromatographic test strips face significant limitations in detecting trace levels of O157:H7 due to insufficient sensitivity and reliability. To address this challenge, we developed a novel "three-In-One" nanoplatform based on mag...
Machine learning-based integration identifies plasma cells-related gene signature ST6GAL1 in idiopathic pulmonary fibrosis.
BMC pulmonary medicine
Jul 2, 2025
BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is a rare, progressive, and fibrotic disease with poor prognosis that lacks treatment options. As a major component of the lung adaptive immune system, plasma cells play a crucial regulatory role during...
DASNet a dual branch multi level attention sheep counting network.
Scientific reports
Jul 2, 2025
Grassland sheep counting is essential for both animal husbandry and ecological balance. Accurate population statistics help optimize livestock management and sustain grassland ecosystems. However, traditional counting methods are time-consuming and c...
Ensemble methods and partially-supervised learning for accurate and robust automatic murine organ segmentation.
Scientific reports
Jul 2, 2025
Delineation of multiple organs in murine µCT images is crucial for preclinical studies but requires manual volumetric segmentation, a tedious and time-consuming process prone to inter-observer variability. Automatic deep learning-based segmentation c...
Clinical validation of AI assisted animal ultrasound models for diagnosis of early liver trauma.
Scientific reports
Jul 2, 2025
The study aimed to develop an AI-assisted ultrasound model for early liver trauma identification, using data from Bama miniature pigs and patients in Beijing, China. A deep learning model was created and fine-tuned with animal and clinical data, achi...
An optimized domain-specific shrimp detection architecture integrating conditional GAN and weighted ensemble learning.
Scientific reports
Jul 2, 2025
Deep learning primarily operates on images which contain hidden patterns that are quantified through pixel intensities. Deep learning is used to analyze the image patterns and to recognize the objects. The detection process includes the creation of l...
Integrating machine learning and bioinformatics approaches to identify novel diagnostic gene biomarkers for diabetic mice.
Scientific reports
Jul 2, 2025
Diabetes is a complex metabolic disorder, and its pathogenesis involves the interplay of genetic, environmental factors, and lifestyle choices. With the rising prevalence and increasing associated chronic complications, identifying and understanding ...
Development of an electrical current stimulator for controlling biohybrid machines.
Scientific reports
Jul 2, 2025
Soft and flexible robotics is an emerging field that attracts a huge interest due to its ability to produce bioinspired devices that are easily adaptable to the environment. Biohybrid Machines (BHM) represent a category of soft robots that integrate ...
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