AIMC Topic: Animals

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ToxAIcology - The evolving role of artificial intelligence in advancing toxicology and modernizing regulatory science.

ALTEX
Toxicology has undergone a transformation from an observational science to a data-rich discipline ripe for artificial intelligence (AI) integration. The exponential growth in computing power coupled with accumulation of large toxicological datasets h...

Vaxi-DL: An Artificial Intelligence-Enabled Platform for Vaccine Development.

Methods in molecular biology (Clifton, N.J.)
Vaccine development is a complex and long process. It involves several steps, including computational studies, experimental analyses, animal model system studies, and clinical trials. This process can be accelerated by using in silico antigen screeni...

Dual-domain fusion deep convolutional neural network for low-dose CT denoising.

Journal of X-ray science and technology
BACKGROUND: In view of the underlying health risks posed by X-ray radiation, the main goal of the present research is to achieve high-quality CT images at the same time as reducing x-ray radiation. In recent years, convolutional neural network (CNN) ...

A Self-Interpretable Deep Learning Model for Seizure Prediction Using a Multi-Scale Prototypical Part Network.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
The epileptic seizure prediction (ESP) method aims to timely forecast the occurrence of seizures, which is crucial to improving patients' quality of life. Many deep learning-based methods have been developed to tackle this issue and achieve significa...

[The development of methods to evaluate experimental animal behavior using images].

Nihon yakurigaku zasshi. Folia pharmacologica Japonica
In life science and medicine, we have been conducting research using laboratory animals such as mice, rats and monkeys. However, it is impossible for humans to fully understand the feelings and conditions of experimental animals with whom we cannot c...

Image restoration for blurry optical images caused by photon diffusion with deep learning.

Journal of the Optical Society of America. A, Optics, image science, and vision
Optical macroscopic imaging techniques have shown great significance in the investigations of biomedical issues by revealing structural or functional information of living bodies through the detection of visible or near-infrared light derived from di...

Extreme Lateral Lumbar Interbody Fusion Surgery with a Robot-Assisted System in a Swine Model.

Turkish neurosurgery
AIM: To evaluate the technical aspects of the Da Vinci Xi Surgical System in minimally invasive extreme lateral lumbar interbody fusion (XLIF) surgery in a swine model.

Accurate and fast clade assignment via deep learning and frequency chaos game representation.

GigaScience
BACKGROUND: Since the beginning of the coronavirus disease 2019 pandemic, there has been an explosion of sequencing of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus, making it the most widely sequenced virus in the history. S...