AIMC Topic: Animals
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Discovery of anticancer peptides from natural and generated sequences using deep learning.
International journal of biological macromolecules
Dec 18, 2024
Anticancer peptides (ACPs) demonstrate significant potential in clinical cancer treatment due to their ability to selectively target and kill cancer cells. In recent years, numerous artificial intelligence (AI) algorithms have been developed. However...
Actuation-Mediated Compression of a Mechanoresponsive Hydrogel by Soft Robotics to Control Release of Therapeutic Proteins.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Dec 18, 2024
Therapeutic proteins, the fastest growing class of pharmaceuticals, are subject to rapid proteolytic degradation in vivo, rendering them inactive. Sophisticated drug delivery systems that maintain protein stability, prolong therapeutic effects, and r...
Report of the First ONTOX Hackathon: Hack to Save Lives and Avoid Animal Suffering. The Use of Artificial Intelligence in Toxicology - A Potential Driver for Reducing/Replacing Laboratory Animals in the Future.
Alternatives to laboratory animals : ATLA
Dec 18, 2024
The first ONTOX Hackathon of the EU Horizon 2020-funded ONTOX project was held on 21-23 April 2024 in Utrecht, The Netherlands (https://ontox-project.eu/hackathon/). This participatory event aimed to collectively advance innovation for human safety t...
Rapid Deployment of Antiviral Drugs Using Single-Virus Tracking and Machine Learning.
ACS nano
Dec 18, 2024
The outbreak of emerging acute viral diseases urgently requires the acceleration of specialized antiviral drug development, thus widely adopting phenotypic screening as a strategy for drug repurposing in antiviral research. However, traditional pheno...
Integrating bioinformatics and machine learning to uncover lncRNA LINC00269 as a key regulator in Parkinson's disease via pyroptosis pathways.
European journal of medical research
Dec 18, 2024
BACKGROUND: Pyroptosis, a specific type of programmed cell death, which has become a significant factor to Parkinson's disease (PD). Concurrently, long non-coding RNAs (lncRNAs) have garnered attention for their regulatory roles in neurodegenerative ...
Automated age grading of female Culex pipiens by an optical sensor system coupled to a mosquito trap.
Parasites & vectors
Dec 18, 2024
BACKGROUND: The age distribution of a mosquito population is a major determinant of its vectorial capacity. To contribute to disease transmission, a competent mosquito vector, carrying a pathogen, must live longer than the extrinsic incubation period...
Machine learning-assisted pattern recognition and imaging of multiplexed cancer cells a porphyrin-embedded dendrimer array.
Journal of materials chemistry. B
Dec 18, 2024
Early cancer detection plays a vital role in improving the survival rate of cancer patients, underscoring the importance of developing cancer detection methods. However, it is a great challenge to achieve simple, rapid, and accurate methods for simul...
Preparation, characterization, and protective effects of carbon dots against oxidative damage induced by LPS in IPEC-J2 cells.
Frontiers in cellular and infection microbiology
Dec 18, 2024
This study aimed to prepare carbon dots (GF-CDs) and examine their efficacy in mitigating oxidative stress and apoptosis in intestinal porcine epithelial cells from the jejunum (IPEC-J2 cells) induced by lipopolysaccharide (LPS). The GF-CDs were syn...
Convolutional neural network-assisted Raman spectroscopy for high-precision diagnosis of glioblastoma.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Dec 17, 2024
Glioblastoma multiforme (GBM) is the most lethal intracranial tumor with a median survival of approximately 15 months. Due to its highly invasive properties, it is particularly difficult to accurately identify the tumor margins intraoperatively. The ...
The potential for AI to revolutionize conservation: a horizon scan.
Trends in ecology & evolution
Dec 17, 2024
Artificial Intelligence (AI) is an emerging tool that could be leveraged to identify the effective conservation solutions demanded by the urgent biodiversity crisis. We present the results of our horizon scan of AI applications likely to significantl...
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