AIMC Topic: Animals
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Prediction of ketosis using radial basis function neural network in dairy cattle farming.
Preventive veterinary medicine
Dec 20, 2024
The purpose of the paper was to apply an Artificial Neural Networks with Radial Basis Function to develop an application model for diagnosing a subclinical ketosis type I and II in dairy cattle. While building the neural network model, applied method...
PoachNet: Predicting Poaching Using an Ontology-Based Knowledge Graph.
Sensors (Basel, Switzerland)
Dec 20, 2024
Poaching poses a significant threat to wildlife and their habitats, necessitating advanced tools for its prediction and prevention. Existing tools for poaching prediction face challenges such as inconsistent poaching data, spatiotemporal complexity, ...
AI-based classification of anticancer drugs reveals nucleolar condensation as a predictor of immunogenicity.
Molecular cancer
Dec 20, 2024
BACKGROUND: Immunogenic cell death (ICD) inducers are often identified in phenotypic screening campaigns by the release or surface exposure of various danger-associated molecular patterns (DAMPs) from malignant cells. This study aimed to streamline t...
Comparative transcriptomic and molecular biology analyses to explore potential immune responses to challenge in .
Frontiers in cellular and infection microbiology
Dec 20, 2024
is a significant pathogen affecting shrimp and crab farming, particularly strains carrying genes associated with acute hepatopancreatic necrosis syndrome. However, the immune response of to infection remains unclear. To address this knowledge gap,...
Pinpointing the integration of artificial intelligence in liver cancer immune microenvironment.
Frontiers in immunology
Dec 20, 2024
Liver cancer remains one of the most formidable challenges in modern medicine, characterized by its high incidence and mortality rate. Emerging evidence underscores the critical roles of the immune microenvironment in tumor initiation, development, p...
Protocol for artificial intelligence-guided neural control using deep reinforcement learning and infrared neural stimulation.
STAR protocols
Dec 19, 2024
Closed-loop neural control is a powerful tool for both the scientific exploration of neural function and for mitigating deficiencies found in open-loop deep brain stimulation (DBS). Here, we present a protocol for artificial intelligence-guided neura...
Leveraging artificial intelligence and machine learning to accelerate discovery of disease-modifying therapies in type 1 diabetes.
Diabetologia
Dec 19, 2024
Progress in developing therapies for the maintenance of endogenous insulin secretion in, or the prevention of, type 1 diabetes has been hindered by limited animal models, the length and cost of clinical trials, difficulties in identifying individuals...
Illuminating Entomological Dark Matter with DNA Barcodes in an Era of Insect Decline, Deep Learning, and Genomics.
Annual review of entomology
Dec 19, 2024
Most insects encountered in the field are initially entomological dark matter in that they cannot be identified to species while alive. This explains the enduring quest for efficient ways to identify collected specimens. Morphological tools came firs...
Effects of prolonged oxytetracycline supplementation on freshwater stinging catfish (): a multi-biomarker approach.
Frontiers in immunology
Dec 19, 2024
BACKGROUND: Aquaculture systems that sporadically depend on antibiotics can contribute to the development of adverse effects on the fish, microbial flora and the environment. This study sought to investigate the impacts of extended oxytetracycline su...
Photonic platform coupled with machine learning algorithms to detect pyrolysis products of crack cocaine in saliva: A proof-of-concept animal study.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Dec 18, 2024
The non-invasive detection of crack/cocaine and other bioactive compounds from its pyrolysis in saliva can provide an alternative for drug analysis in forensic toxicology. Therefore, a highly sensitive, fast, reagent-free, and sustainable approach wi...
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