AIMC Topic: Animals

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Organoids as predictive platforms: advancing disease modeling, therapeutic innovation, and drug delivery systems.

Journal of controlled release : official journal of the Controlled Release Society
As three-dimensional (3D), physiologically relevant models, organoids are rapidly becoming revolutionary platforms in biomedical research. With their ability to recapitulate tissue architecture, disease heterogeneity, and patient-specific therapeutic...

Predicting the Seasonal Dynamics of Fruit Fly Anastrepha fraterculus Populations in Apple Orchards Using Artificial Neural Networks.

Neotropical entomology
The fruit fly Anastrepha fraterculus (Wiedemann) (Diptera: Tephritidae) is one of the main pests in apple orchards. Artificial neural networks (ANNs) are tools with good ability to predict phenomena such as the seasonal dynamics of pest populations. ...

Causal inference unveils how forest coverage mitigates excess snakebite cases during rainfall seasons in Colombia.

Scientific reports
Snakebite envenoming is a neglected tropical disease that affects mainly rural populations, where antivenom is scarce. Understanding environmental drivers of snakebite incidence is critical for public health preparedness. This study employs causal in...

Utilizing CNNs for classification and uncertainty quantification for 15 families of European fly pollinators.

PloS one
Pollination is essential for maintaining biodiversity and ensuring food security, and in Europe it is primarily mediated by four insect orders (Coleoptera, Diptera, Hymenoptera, Lepidoptera). However, traditional monitoring methods are costly and tim...

A novel hybrid model for species distribution prediction using probabilistic random forest, principal component analysis and genetic algorithm.

PloS one
Probabilistic Random Forest is an extension of the traditional Random Forest machine learning algorithm that is one of the frequently used machine learning algorithms employed for species distribution modeling. However, with the use of complex datase...

An updated vocal repertoire of wild adult bonobos (Pan paniscus).

PloS one
Research over the last 20 years has shed important light on the vocal behaviour of our closest living relatives, bonobos and chimpanzees, but mostly relies on qualitative vocal repertoires, for which quantitative validations are absent. Such data are...

Automated lesion detection in endoscopic imagery for small animal models - a pilot study.

Biomedizinische Technik. Biomedical engineering
OBJECTIVES: Small animal models, particularly mice, are crucial for studying gastrointestinal diseases like colorectal cancer. Tumor assessment via colonoscopy generates large video datasets, necessitating automated analysis due to limited resources ...

Molecular networking and deep learning synergy for bioactive metabolite discovery in L. plantarum-Fermented Sea buckthorn milk.

Food chemistry
This study investigated the metabolomic transformation of sea buckthorn milk fermented by Lactiplantibacillus plantarum to identify novel bioactive compounds and improve both nutritional and sensory attributes. An untargeted metabolomics workflow int...

Nondestructive detection of biogenic amines in muscle of Chinese mitten crab (Eriocheir sinensis): A basis for quality assessment using infrared spectroscopy and deep learning.

Food chemistry
Biogenic amines (BAs) are critical indicators of spoilage in aquatic products, but conventional detection methods are destructive and inefficient. This study proposes a nondestructive approach combining near-infrared (NIR) spectroscopy with deep lear...

Integrative multi-omics identifies S100A8/IGFBP5/CTSK/S100P as dual diagnostic biomarkers and therapeutic targets in Crohn's disease: from computational discovery to preclinical validation.

International immunopharmacology
Crohn's disease (CD) is a chronic inflammatory bowel condition that significantly impairs patients' quality of life. With no cure currently available, the need to discover novel biomarkers and develop effective therapeutic strategies is paramount. Th...