AIMC Topic: Animals

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The Gene Ontology Resource: 20 years and still GOing strong.

Nucleic acids research
The Gene Ontology resource (GO; http://geneontology.org) provides structured, computable knowledge regarding the functions of genes and gene products. Founded in 1998, GO has become widely adopted in the life sciences, and its contents are under cont...

Victors: a web-based knowledge base of virulence factors in human and animal pathogens.

Nucleic acids research
Virulence factors (VFs) are molecules that allow microbial pathogens to overcome host defense mechanisms and cause disease in a host. It is critical to study VFs for better understanding microbial pathogenesis and host defense mechanisms. Victors (ht...

The 18th FRAME Annual Lecture, October 2019: Human Trials in Pharmacology.

Alternatives to laboratory animals : ATLA
Safety and efficacy testing is a crucial part of the drug development process, and several different methods are used to obtain the necessary data (e.g. testing, animal trials and clinical trials). Our group has been investigating the potential of m...

Social Robots as a Complementary Therapy in Chronic, Progressive Diseases.

Advances in experimental medicine and biology
Globally, the world population is ageing, which increases the prevalence of non-communicable diseases that affect patients both physically and psychologically, such as is the case of dementia. Consequently, there is a greater demand for the healthcar...

Regeneration of Denervated Skeletal Muscles - Brunelli's CNS-PNS Paradigm.

Journal of medicine and life
The restoration of voluntary muscle activity in posttraumatic paraplegia in both animal experiments and other clinical applications requires reproducibility of a technically-demanding microsurgical procedure, limited by physicians' understanding of B...

Predicting Influenza A Tropism with End-to-End Learning of Deep Networks.

Health security
The type of host that a virus can infect, referred to as host specificity or tropism, influences infectivity and thus is important for disease diagnosis, epidemic response, and prevention. Advances in DNA sequencing technology have enabled rapid meta...

Inferring material properties in robotic bone drilling processes.

Acta of bioengineering and biomechanics
PURPOSE: Recent innovations in robotics have enabled the development of automatic bone drilling tools which allows surgeons to improve the precision of their surgical operations. However, these tools still lack valuable tactile information about the ...

Quantification of hepatic steatosis in histologic images by deep learning method.

Journal of X-ray science and technology
OBJECTIVE: To develop and test a novel method for automatic quantification of hepatic steatosis in histologic images based on the deep learning scheme designed to predict the fat ratio directly, which aims to improve accuracy in diagnosis of non-alco...

Brain-Machine Interface-Based Rat-Robot Behavior Control.

Advances in experimental medicine and biology
Brain-machine interface (BMI) provides a bidirectional pathway between the brain and external facilities. The machine-to-brain pathway makes it possible to send artificial information back into the biological brain, interfering neural activities and ...

Identifying Cancer Targets Based on Machine Learning Methods via Chou's 5-steps Rule and General Pseudo Components.

Current topics in medicinal chemistry
In recent years, the successful implementation of human genome project has made people realize that genetic, environmental and lifestyle factors should be combined together to study cancer due to the complexity and various forms of the disease. The i...