AIMC Topic: Animals

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Deep learning-based framework for cardiac function assessment in embryonic zebrafish from heart beating videos.

Computers in biology and medicine
Zebrafish is a powerful and widely-used model system for a host of biological investigations, including cardiovascular studies and genetic screening. Zebrafish are readily assessable during developmental stages; however, the current methods for quant...

Needs and Preferences of Middle-Aged and Older Adults in Taiwan for Companion Robots and Pets: Survey Study.

Journal of medical Internet research
BACKGROUND: In recent years, robots have been considered a new tech industry that can be used to solve the shortage in human resources in the field of health care. Also, animal-assisted therapy has been used to provide assistance, companionship, and ...

Prediction of African Swine Fever Virus Inhibitors by Molecular Docking-Driven Machine Learning Models.

Molecules (Basel, Switzerland)
African swine fever virus (ASFV) causes a highly contagious and severe hemorrhagic viral disease with high mortality in domestic pigs of all ages. Although the virus is harmless to humans, the ongoing ASFV epidemic could have severe economic conseque...

Multi-View Mouse Social Behaviour Recognition With Deep Graphic Model.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Home-cage social behaviour analysis of mice is an invaluable tool to assess therapeutic efficacy of neurodegenerative diseases. Despite tremendous efforts made within the research community, single-camera video recordings are mainly used for such ana...

Automated scoring of pre-REM sleep in mice with deep learning.

Scientific reports
Reliable automation of the labor-intensive manual task of scoring animal sleep can facilitate the analysis of long-term sleep studies. In recent years, deep-learning-based systems, which learn optimal features from the data, increased scoring accurac...

Machine learning analyses of antibody somatic mutations predict immunoglobulin light chain toxicity.

Nature communications
In systemic light chain amyloidosis (AL), pathogenic monoclonal immunoglobulin light chains (LC) form toxic aggregates and amyloid fibrils in target organs. Prompt diagnosis is crucial to avoid permanent organ damage, but delayed diagnosis is common ...

A review of linkage mechanisms in animal joints and related bioinspired designs.

Bioinspiration & biomimetics
This paper presents a review of biological mechanical linkage mechanisms. One purpose is to identify the range of kinematic functions that they are able to perform. A second purpose is to review progress in bioinspired designs. Ten different linkage ...

Convolutional Neural Networks to Estimate Dry Matter Yield in a Guineagrass Breeding Program Using UAV Remote Sensing.

Sensors (Basel, Switzerland)
Forage dry matter is the main source of nutrients in the diet of ruminant animals. Thus, this trait is evaluated in most forage breeding programs with the objective of increasing the yield. Novel solutions combining unmanned aerial vehicles (UAVs) an...

An eye-tracking based robotic scrub nurse: proof of concept.

Surgical endoscopy
BACKGROUND: Within surgery, assistive robotic devices (ARD) have reported improved patient outcomes. ARD can offer the surgical team a "third hand" to perform wider tasks and more degrees of motion in comparison with conventional laparoscopy. We test...

A convolutional neural network for estimating synaptic connectivity from spike trains.

Scientific reports
The recent increase in reliable, simultaneous high channel count extracellular recordings is exciting for physiologists and theoreticians because it offers the possibility of reconstructing the underlying neuronal circuits. We recently presented a me...