AIMC Topic: Databases as Topic

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Transfer learning for small molecule retention predictions.

Journal of chromatography. A Mar 31, 2021
Small molecule retention time prediction is a sophisticated task because of the wide variety of separation techniques resulting in fragmented data available for training machine learning models. Predictions are typically made with traditional machine...
Support Vector Machine Natural Language Processing Databases as Topic Machine Learning Reproducibility of Results Time Factors
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SSCA-Net: Simultaneous Self- and Channel-Attention Neural Network for Multiscale Structure-Preserving Vessel Segmentation.

BioMed research international Mar 30, 2021
Vessel segmentation is a fundamental, yet not well-solved problem in medical image analysis, due to the complicated geometrical and topological structures of human vessels. Unlike existing rule- and conventional learning-based techniques, which hardl...
Blood Vessels Databases as Topic Leg Arteries Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms
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Conservation machine learning: a case study of random forests.

Scientific reports Feb 11, 2021
Conservation machine learning conserves models across runs, users, and experiments-and puts them to good use. We have previously shown the merit of this idea through a small-scale preliminary experiment, involving a single dataset source, 10 datasets...
Machine Learning Algorithms Databases as Topic
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A deep learning-based model for screening and staging pneumoconiosis.

Scientific reports Jan 26, 2021
This study aims to develop an artificial intelligence (AI)-based model to assist radiologists in pneumoconiosis screening and staging using chest radiographs. The model, based on chest radiographs, was developed using a training cohort and validated ...
Models, Biological Databases as Topic Mass Screening Radiologists Humans Reproducibility of Results Deep Learning Pneumoconiosis
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Machine learning enables design automation of microfluidic flow-focusing droplet generation.

Nature communications Jan 4, 2021
Droplet-based microfluidic devices hold immense potential in becoming inexpensive alternatives to existing screening platforms across life science applications, such as enzyme discovery and early cancer detection. However, the lack of a predictive un...
Neural Networks, Computer Microfluidics Rheology Databases as Topic Machine Learning Algorithms Equipment Design Automation Lab-On-A-Chip Devices
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A machine learning-based framework for diagnosis of COVID-19 from chest X-ray images.

Interdisciplinary sciences, computational life sciences Jan 2, 2021
Corona virus disease (COVID-19) acknowledged as a pandemic by the WHO and mankind all over the world is vulnerable to this virus. Alternative tools are needed that can help in diagnosis of the coronavirus. Researchers of this article investigated the...
COVID-19 Thorax Algorithms Humans Imaging, Three-Dimensional X-Rays Neural Networks, Computer SARS-CoV-2 Logistic Models Machine Learning Databases as Topic
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A comparative analysis of deep learning architectures on high variation malaria parasite classification dataset.

Tissue & cell Dec 31, 2020
Malaria, one of the leading causes of death in underdeveloped countries, is primarily diagnosed using microscopy. Computer-aided diagnosis of malaria is a challenging task owing to the fine-grained variability in the appearance of some uninfected and...
Databases as Topic Humans Plasmodium Parasites Algorithms Deep Learning Animals Malaria
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C-Norm: a neural approach to few-shot entity normalization.

BMC bioinformatics Dec 29, 2020
BACKGROUND: Entity normalization is an important information extraction task which has gained renewed attention in the last decade, particularly in the biomedical and life science domains. In these domains, and more generally in all specialized domai...
Algorithms Databases as Topic Humans Phenotype Knowledge Neural Networks, Computer Bacteria Ecosystem Machine Learning Confidence Intervals
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Hybrid-COVID: a novel hybrid 2D/3D CNN based on cross-domain adaptation approach for COVID-19 screening from chest X-ray images.

Physical and engineering sciences in medicine Dec 10, 2020
The novel Coronavirus disease (COVID-19), which first appeared at the end of December 2019, continues to spread rapidly in most countries of the world. Respiratory infections occur primarily in the majority of patients treated with COVID-19. In light...
Databases as Topic Neural Networks, Computer Humans Thorax COVID-19 Time Factors X-Rays Male Algorithms Mass Screening Lung COVID-19 Testing SARS-CoV-2 Aged
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Predicting antibody affinity changes upon mutations by combining multiple predictors.

Scientific reports Nov 11, 2020
Antibodies are proteins working in our immune system with high affinity and specificity for target antigens, making them excellent tools for both biotherapeutic and bioengineering applications. The prediction of antibody affinity changes upon mutatio...
Databases as Topic Mutation Antibody Affinity Antibodies Machine Learning Vascular Endothelial Growth Factor A Computational Biology
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