AIMC Topic: Animals

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Identification of PANoptosis-associated genes in hepatic ischemia-reperfusion injury by integrated bioinformatics analysis and machine learning.

PloS one
BACKGROUND: In the context of liver resection and transplantation, hepatic ischemia-reperfusion injury (hepatic IRI) remains a significant clinical challenge, profoundly impacting both postoperative short- and long-term recovery. A novel cell death p...

Ultrasound and SWE-based transfer learning for predicting fibrotic NASH.

Scientific reports
The aim of this study was to develop a combined deep-learning model utilizing liver ultrasound, liver elastography images, and clinical features to predict and diagnose fibrotic non-alcoholic steatohepatitis (NASH). A rat model of liver steatosis and...

Predicting performance traits in Murrah buffaloes using machine learning: a comparative approach.

Tropical animal health and production
This study evaluated the comparative performance of nine machine learning (ML) algorithms for predicting 305-day first lactation milk yield (305FLMY) and total milk yield (TMY) in Murrah buffaloes. Data from 657 animals recorded over 24 years (2000-2...

DANCE provides an open-source and low-cost approach to quantify aggression and courtship in .

eLife
Quantifying animal behavior is pivotal for identifying the neuronal and genetic mechanisms involved. Computational approaches have enabled automated analysis of complex behaviors such as aggression and courtship in . However, existing approaches rely...

AI evolution: bring biomimicry to language models.

Bioinspiration & biomimetics
Humans can now emulate language in silica-based neural networks, but we remain ignorant about how language emerged in carbon-based neural networks in the first place. This gap represents not merely a scientific blind spot, but a unique opportunity to...

Optimization analysis of a bio-inspired robotic fish employing a crank-linkage propulsion system.

Bioinspiration & biomimetics
Modern bio-inspired robotic fish design increasingly focuses on integrating biological inspiration with engineering-oriented structural solutions to enhance locomotion performance and meet practical application demands. Among these, the crank-linkage...

The role of gut microbiome in aging-associated diseases: where do we stand now and how technology will transform the future.

Gut microbes
The gut microbiome has emerged as a critical regulator of human aging and healthspan, with age-related dysbiosis increasingly implicated in a broad spectrum of aging-associated diseases. This review synthesizes evidence linking gut microbial alterati...

Synthetic Data Generation for Classifying Electrophysiological and Morpho-Electrophysiological Neurons from Mouse Visual Cortex.

Neuroinformatics
Accurate classification of neuronal cell types is essential for understanding brain organization, but multimodal neuron datasets are scarce and strongly imbalanced across subclasses. We present a benchmark of synthetic data augmentation methods for p...

A complete spatial map of mouse retinal ganglion cells reveals density and gene expression specializations.

Proceedings of the National Academy of Sciences of the United States of America
Retinal ganglion cells (RGCs) transmit visual information from the eye to the brain. In mice, several RGC types show nonuniform spatial distributions, potentially mediating specific visual functions. However, the full extent of RGC specialization rem...

Intelligent design of tumor microenvironment-responsive Adeno-associated virus vectors: overcoming delivery barriers and enabling precision therapy.

Medical oncology (Northwood, London, England)
Adeno-associated virus (AAV) has emerged as a pivotal vector for cancer gene therapy due to its low immunogenicity, non-pathogenicity, and sustained transgene expression capacity. However, the heterogeneity and complexity of the tumor microenvironmen...