AIMC Topic: Animals

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Multiscale insights into cornuside's effects on NAFLD: A cross-disciplinary integrating bioinformatics, computational chemistry, and machine learning.

Phytomedicine : international journal of phytotherapy and phytopharmacology
BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is a complex metabolic disorder involving intertwined signaling pathways, posing challenges for targeted therapeutic interventions. Cornus Fructus (CF), a traditional medicinal herb, holds potenti...

Brain circuits that regulate social behavior.

Molecular psychiatry
Social interactions are essential for the survival of individuals and the reproduction of populations. Social stressors, such as social defeat and isolation, can lead to emotional disorders and cognitive impairments. Furthermore, dysfunctional social...

Marker based and markerless motion capture for equestrian rider kinematic analysis: A comparative study.

Journal of biomechanics
The study hypothesised that a markerless motion capture system can provide kinematic data comparable to a traditional marker-based system for riders mounted on a horse. The objective was to assess the markerless system's accuracy by directly comparin...

A Novel Dual-Network Approach for Real-Time Liveweight Estimation in Precision Livestock Management.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
The increasing demand for automation in livestock farming scenarios highlights the need for effective noncontact measurement methods. The current methods typically require either fixed postures and specific positions of the target animals or high com...

Phytophagous, blood-suckers or predators? Automated identification of Chagas disease vectors and similar bugs using convolutional neural network algorithms.

Acta tropica
Correct identification of blood-sucking bugs, such as triatomines, is important because they are vectors of Chagas' disease. Identifying these insects is often difficult for non-specialists. Deep learning is emerging as a solution for automated ident...

Artificial intelligence-enabled microsphere imaging immunosensor based on magnetic metal-organic frameworks-assisted sample pretreatment for detecting aflatoxin B in peanuts.

Journal of hazardous materials
Sensitive and rapid detection of aflatoxin B (AFB) is vital for safeguarding food safety, considering its potent carcinogenic toxicity. Herein, an artificial intelligence-enabled microsphere imaging (AI-MI) immunosensor based on magnetic metal-organi...

A multi-task neural network for full waveform ultrasonic bone imaging.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: It is a challenging task to use ultrasound for bone imaging, as the bone tissue has a complex structure with high acoustic impedance and speed-of-sound (SOS). Recently, full waveform inversion (FWI) has shown promising imagi...

Therapeutic potential of enzymes, neurosteroids, and synthetic steroids in neurodegenerative disorders: A critical review.

The Journal of steroid biochemistry and molecular biology
Neurodegenerative disorders present a significant challenge to healthcare systems, mainly due to the limited availability of effective treatment options to halt or reverse disease progression. Endogenous steroids synthesized in the central nervous sy...

On-farm 3D images of beef cattle for the prediction of carcass classification traits and cold carcass weight.

Animal : an international journal of animal bioscience
For beef cattle, subjective methods tend to be used on-farm for assessing readiness for slaughter. This means that the target classification grades cannot be accurately estimated, leading to over- and under-finished animals being sent to slaughter. T...

TransAnno-Net: A Deep Learning Framework for Accurate Cell Type Annotation of Mouse Lung Tissue Using Self-supervised Pretraining.

Computer methods and programs in biomedicine
BACKGROUND: Single-cell RNA sequencing (scRNA-seq) has become a significant tool for addressing complex issuess in the field of biology. In the context of scRNA-seq analysis, it is imperative to accurately determine the type of each cell. However, co...