AIMC Topic: Animals
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A method for evaluating the degree of Adipogenic differentiation of porcine cells cultured in suspension based on deep learning.
Food research international (Ottawa, Ont.)
Apr 28, 2025
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...
Comparative examination of the chemistry and biology of AI-driven gold NPs in Theranostics: New insights into biosensing, bioimaging, genomics, diagnostics, and therapy.
Nanomedicine : nanotechnology, biology, and medicine
Apr 28, 2025
Integrating artificial intelligence (AI) with nanomedicine is transforming Theranostics, driving advances in biosensing, bioimaging, genomics, diagnostics, and treatment. This review highlights the latest advancements in AI-driven nanomedicine, focus...
Interictal network dysfunction and cognitive impairment in epilepsy.
Nature reviews. Neuroscience
Apr 28, 2025
Epilepsy is diagnosed when neural networks become capable of generating excessive or hypersynchronous activity patterns that result in observable seizures. In many cases, epilepsy is associated with cognitive comorbidities that persist between seizur...
Honeybee colony soundscapes: Decoding distance-based cues and environmental stressors.
Ecotoxicology and environmental safety
Apr 28, 2025
Honey bees play a crucial role in agricultural productivity and ecological stability, yet their interactions with environmental stressors, particularly volatile organic compounds (VOCs) and pollutants, pose significant challenges to their cognitive f...
Unlocking the soundscape of coral reefs with artificial intelligence: pretrained networks and unsupervised learning win out.
PLoS computational biology
Apr 28, 2025
Passive acoustic monitoring can offer insights into the state of coral reef ecosystems at low-costs and over extended temporal periods. Comparison of whole soundscape properties can rapidly deliver broad insights from acoustic data, in contrast to de...
Pathogenicity and virulence of lumpy skin disease virus: A comprehensive update.
Virulence
Apr 27, 2025
Lumpy skin disease (LSD), which was confined to the Africa for many decades, has expanded its geographical distribution to numerous countries across Asia and Europe in recent years. The LSD virus (LSDV) is a relatively poorly studied virus. Its 151 K...
A comparison of statistical methods for deriving occupancy estimates from machine learning outputs.
Scientific reports
Apr 27, 2025
The combination of autonomous recording units (ARUs) and machine learning enables scalable biodiversity monitoring. These data are often analysed using occupancy models, yet methods for integrating machine learning outputs with these models are rarel...
Machine learning analysis of FOSL2 and RHoBTB1 as central immunological regulators in knee osteoarthritis synovium.
The Journal of international medical research
Apr 27, 2025
BackgroundKnee osteoarthritis is a debilitating disease with a complex pathogenesis. Synovitis, which refers to inflammation of the synovial membrane surrounding the joint, is believed to play an important role in the development and progression of k...
Automated detection and recognition of oocyte toxicity by fusion of latent and observable features.
Journal of hazardous materials
Apr 26, 2025
Oocyte quality is essential for successful pregnancy, yet no discriminant criterion exists to assess the effects of environmental pollutants on oocyte abnormalities. We developed a stepwise framework integrating deep learning-extracted latent feature...
Big data-driven target identification by machine learning: DRD2 as a therapeutic target for psoriasis.
Journal of dermatological science
Apr 26, 2025
BACKGROUND: The development of medical treatments has traditionally relied on researchers leveraging scientific knowledge to hypothesize disease mechanisms and identify therapeutic agents. However, the depletion of novel therapeutic targets has becom...
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