AIMC Topic: Animals

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PoseR: a deep learning toolbox for classifying animal behaviour.

Open biology
The actions of animals provide a window into how their minds work. Recent advances in deep learning are providing powerful approaches to recognize patterns of animal movement from video recordings using markerless pose estimation models. Current meth...

Predicting Helicoverpa zea (Lepidoptera: Noctuidae) populations in the southern United States.

Environmental entomology
Forecasting insect pest populations before crops are planted can help improve management and reduce pesticide use. Pests with long dispersal potentials and wide host ranges are difficult to predict but often cause losses in crops across broad spatial...

[Extracellular matrix materials and tissue regeneration and repair].

Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery
The extracellular matrix (ECM) plays a pivotal role in regulating cellular behavior and driving tissue regeneration. Its unique structural characteristics and bioactivity not only provide physical support for cell growth, but also orchestrate tissue ...

Genomic prediction of feed efficiency in boars by deep learning.

G3 (Bethesda, Md.)
Pork is the most widely consumed meat globally, and the industry has achieved substantial genetic advancements for several traits using genomic selection. However, traditional linear genomic prediction models may be inadequate for predicting complex ...

A generic pipeline for CADD score generation: chickenCADD and turkeyCADD.

G3 (Bethesda, Md.)
Combined Annotation Dependent Depletion (CADD) is a machine learning approach used to predict the deleteriousness of genetic variants across a genome. By integrating diverse genomic features, CADD assigns a PHRED-like rank score to each potential var...

Dimensionality reduction of genetic data using contrastive learning.

Genetics
We introduce a framework for using contrastive learning for dimensionality reduction on genetic datasets to create principal component analysis (PCA)-like population visualizations. Contrastive learning is a self-supervised deep learning method that ...

Generative Artificial Intelligence-based Surveillance for Avian Influenza Across a Statewide Healthcare System.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
Among all 2024 emergency department visits for acute respiratory illness or conjunctivitis across a statewide healthcare system (n = 13 494), generative artificial intelligence-based surveillance with adjunctive human review rapidly and cost-effectiv...

Integrative Analysis of Endothelial Cell Senescence-Related Genes in Idiopathic Pulmonary Fibrosis.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology
Idiopathic pulmonary fibrosis (IPF) is a progressive interstitial lung disease in which endothelial cell senescence (ECS) plays a key role. By integrating two GEO transcriptome datasets (145 IPF patients and 84 controls) and applying LASSO, SVM-RFE, ...

Mathematical Modeling Quantifies "Just-Right" APC Inactivation for Colorectal Cancer Initiation.

Cancer research
UNLABELLED: Dysregulation of the tumor suppressor gene adenomatous polyposis coli (APC) is a canonical step in colorectal cancer development by promoting activation of the WNT/β-catenin pathway. Curiously, most colorectal tumors carry biallelic mutat...

Micropore array-based SERS sensor assisted by convolutional neural networks for subsurface biotoxic-free detection of interstitial fluid in bioassays.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Accurate and sensitive detection of small-molecule metabolites such as uric acid, glucose, and lactic acid is critical in biomedical diagnostics and clinical applications. Traditional detection methods often face limitations such as complex procedure...