AIMC Topic: Animals

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Examining the biological causes of eating disorders to inform treatment strategies.

Nature reviews. Neuroscience
Despite their prevalence, eating disorders (EDs) are under-researched and often misunderstood. A recent focus of research on the biological underpinnings of EDs has helped to reframe our understanding of their origins, but there remain a lack of effe...

Entomopathogenic nematodes: Commercial use and future perspectives.

Journal of invertebrate pathology
The 100 years of research, development, commercialization and use of entomopathogenic nematodes (EPN) since their discovery in the 1920s have seen impressive progress. Nowadays, many EPN products, based on a relatively limited number of EPN species, ...

Effects of vascular endothelial cells on the neurite outgrowth of nerve cells.

Journal of bioscience and bioengineering
The vascular and neuronal networks are structurally complex and highly branched. These networks play an important role in supplying oxygen and sending signals to the tissues and organs in the body. This study proposes procedures to prepare in vitro n...

Signature gene expression model for quantitative evaluation of MASH-like liver injury in mice.

Toxicology and applied pharmacology
Metabolic dysfunction-associated steatotic liver disease (MASLD) is a spectrum of chronic pathologic conditions strongly associated with metabolic syndrome and affects approximately 38 % of the global population. Untreated MASLD may progress to metab...

Cerebellar circuit computations for predictive motor control.

Nature reviews. Neuroscience
The rise of the deep neural network as the workhorse of artificial intelligence has brought increased attention to how network architectures serve specialized functions. The cerebellum, with its largely shallow, feedforward architecture, provides a c...

Predictive models to determine best strategy for metaphylaxis application in cattle at arrival to a feedyard.

Preventive veterinary medicine
Metaphylaxis, the application of an antimicrobial to a cohort of cattle at arrival to a feedyard, is an important bovine respiratory disease (BRD) control strategy for certain cattle populations. Predictive modeling techniques could be used to assist...

Time series data analysis to predict the status of mastitis in dairy cows by applying machine learning models to automated milking systems data.

Preventive veterinary medicine
Mastitis in dairy cows is one of the most important issues that not only pose risk to animal health and welfare but also cause huge direct and indirect economic losses to the dairy sector. In recent times, automated milking systems (AMS) have gained ...

Detection of pine wood nematode infections in Chinese pine (Pinus tabuliformis) using hyperspectral drone images.

Pest management science
BACKGROUND: The pine wood nematode (PWN) has caused tremendous damage to pine forests in China. Accurately predicting the infestation stage of PWN is crucial for implementing appropriate management, such as chemically controlling early-infested trees...

A deep learning model for accurate segmentation of the Drosophila melanogaster brain from Micro-CT imaging.

Developmental biology
The use of microcomputed tomography (Micro-CT) for imaging biological samples has burgeoned in the past decade, due to increased access to scanning platforms, ease of operation, and the advance of software platforms that enable accurate microstructur...

Computer vision systems for monitoring hutch-housed dairy calves.

Journal of dairy science
Computer vision systems (CVS) have emerged as a powerful technology for animal monitoring. However, there is limited research on CVS for behavior monitoring of hutch-housed dairy calves, which account for >50% of all calf housing in the United States...