AIMC Topic: Rodentia

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Mapping global risk of bat and rodent borne disease outbreaks to anticipate emerging threats.

Scientific reports Jul 1, 2025
Future epidemics and/or pandemics may likely arise from zoonotic viruses with bat- and rodent-borne pathogens being among the prime candidates. To improve preparedness and prevention strategies, we predicted the global distribution of bat- and rodent...
Humans Animals Global Health Zoonoses Rodentia Communicable Diseases, Emerging Disease Outbreaks Bayes Theorem Chiroptera
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Identifying the Drivers Related to Animal Reservoirs, Environment, and Socio-Demography of Human Leptospirosis in Different Community Types of Southern Chile: An Application of Machine Learning Algorithm in One Health Perspective.

Pathogens (Basel, Switzerland) Aug 14, 2024
Leptospirosis is a zoonosis with global public health impact, particularly in poor socio-economic settings in tropical regions. Transmitted through urine-contaminated water or soil from rodents, dogs, and livestock, leptospirosis causes over a millio...
Algorithms Female Risk Factors Humans Machine Learning Cross-Sectional Studies Animals Male Aged Young Adult Adult Dogs One Health Leptospirosis Leptospira Zoonoses Disease Reservoirs Child, Preschool Rodentia Middle Aged Child Adolescent Chile
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In Silico Prediction of Oral Acute Rodent Toxicity Using Consensus Machine Learning.

Journal of chemical information and modeling Mar 18, 2024
Acute oral toxicity (AOT) is required for the classification and labeling of chemicals according to the global harmonized system (GHS). Acute oral toxicity studies are optimized to minimize the use of animals. However, with the advent of the three p...
Mice Rats Administration, Oral Toxicity Tests, Acute Rodentia Machine Learning Computer Simulation Animals
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A robot-rodent interaction arena with adjustable spatial complexity for ethologically relevant behavioral studies.

Cell reports Jan 26, 2024
Outside of the laboratory, animals behave in spaces where they can transition between open areas and coverage as they interact with others. Replicating these conditions in the laboratory can be difficult to control and record. This has led to a domin...
Spatial Navigation Rodentia Animals Mice Robotics
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AI-based MRI auto-segmentation of brain tumor in rodents, a multicenter study.

Acta neuropathologica communications Jan 14, 2023
Automatic segmentation of rodent brain tumor on magnetic resonance imaging (MRI) may facilitate biomedical research. The current study aims to prove the feasibility for automatic segmentation by artificial intelligence (AI), and practicability of AI-...
Rats Animals Magnetic Resonance Imaging Artificial Intelligence Image Processing, Computer-Assisted Rodentia Brain Neoplasms Mice
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Automated classification of estrous stage in rodents using deep learning.

Scientific reports Oct 21, 2022
The rodent estrous cycle modulates a range of biological functions, from gene expression to behavior. The cycle is typically divided into four stages, each characterized by distinct hormone concentration profiles. Given the difficulty of repeatedly s...
Estrus Rodentia Deep Learning Hormones Estrous Cycle Female Animals
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Deep learning-based behavioral profiling of rodent stroke recovery.

BMC biology Oct 15, 2022
BACKGROUND: Stroke research heavily relies on rodent behavior when assessing underlying disease mechanisms and treatment efficacy. Although functional motor recovery is considered the primary targeted outcome, tests in rodents are still poorly reprod...
Mice Disease Models, Animal Stroke Brain Ischemia Rodentia Humans Animals Deep Learning
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Deep learning-based feature extraction for prediction and interpretation of sharp-wave ripples in the rodent hippocampus.

eLife Sep 5, 2022
Local field potential (LFP) deflections and oscillations define hippocampal sharp-wave ripples (SWRs), one of the most synchronous events of the brain. SWRs reflect firing and synaptic current sequences emerging from cognitively relevant neuronal ens...
Deep Learning Neurons Hippocampus Animals Rodentia
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False Ceiling Deterioration Detection and Mapping Using a Deep Learning Framework and the Teleoperated Reconfigurable 'Falcon' Robot.

Sensors (Basel, Switzerland) Dec 30, 2021
Periodic inspection of false ceilings is mandatory to ensure building and human safety. Generally, false ceiling inspection includes identifying structural defects, degradation in Heating, Ventilation, and Air Conditioning (HVAC) systems, electrical ...
Neural Networks, Computer Rodentia Animals Algorithms Deep Learning Robotics
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AI Enabled IoRT Framework for Rodent Activity Monitoring in a False Ceiling Environment.

Sensors (Basel, Switzerland) Aug 6, 2021
Routine rodent inspection is essential to curbing rat-borne diseases and infrastructure damages within the built environment. Rodents find false ceilings to be a perfect spot to seek shelter and construct their habitats. However, a manual false ceili...
Animals Neural Networks, Computer Algorithms Rats Rodentia
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