AIMC Topic: Swine

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Artificial intelligence-based action recognition and skill assessment in robotic cardiac surgery simulation: a feasibility study.

Journal of robotic surgery
To create a deep neural network capable of recognizing basic surgical actions and categorizing surgeons based on their skills using video data only. Nineteen surgeons with varying levels of robotic experience performed three wet lab tasks on a porcin...

Multi-task genomic prediction using gated residual variable selection neural networks.

BMC bioinformatics
BACKGROUND: The recent development of high-throughput sequencing techniques provide massive data that can be used in genome-wide prediction (GWP). Although GWP is effective on its own, the incorporation of traditional polygenic pedigree information i...

Clinical validation of AI assisted animal ultrasound models for diagnosis of early liver trauma.

Scientific reports
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...

Decomposition-reconstruction-optimization framework for hog price forecasting: Integrating STL, PCA, and BWO-optimized BiLSTM.

PloS one
This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price serie...

Microrobots for Antibiotic-Resistant Skin Colony Eradication.

ACS applied materials & interfaces
Self-propelled nano- and micromachines have immense potential as autonomous seek-and-act devices in biomedical applications. In this study, we present microrobots constructed with inherently biocompatible materials and propulsion systems tailored to ...

Weakly supervised learning through box annotations for pig instance segmentation.

Scientific reports
Pig instance segmentation is a critical component of smart pig farming, serving as the basis for advanced applications such as health monitoring and weight estimation. However, existing methods typically rely on large volumes of precisely labeled mas...

Deep learning-based electrical impedance spectroscopy analysis for malignant and potentially malignant oral disorder detection.

Scientific reports
Electrical impedance spectroscopy (EIS) is a powerful tool used to investigate the properties of materials and biological tissues. This study presents one of the first applications of EIS for the detection and classification of oral potentially malig...

iPSC-RPE patch restores photoreceptors and regenerates choriocapillaris in a pig retinal degeneration model.

JCI insight
Dry age-related macular degeneration (AMD) is a leading cause of untreatable vision loss. In advanced cases, retinal pigment epithelium (RPE) cell loss occurs alongside photoreceptor and choriocapillaris degeneration. We hypothesized that an RPE-patc...

A method for evaluating the degree of Adipogenic differentiation of porcine cells cultured in suspension based on deep learning.

Food research international (Ottawa, Ont.)
Fat plays a very important role in the quality of meat and meat products. Cell culture based adipocyte differentiation is a crucial step in the production of cell-cultured meat, traditionally relying on quantitative assessments through fluorescence s...

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...