AIMC Topic: COVID-19

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Nurses' perception towards care robots and their work experience with socially assistive technology during COVID-19: A qualitative study.

Geriatric nursing (New York, N.Y.) Feb 6, 2023
This study aimed to explore nurses' perceptions towards care robots and their work experiences in caring for older adults who use socially assistive technology. This qualitative descriptive study included 18 nurses who cared for older adults with dem...
Self-Help Devices Robotics Perception Nurses Dementia COVID-19 Aged Humans
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Deep Learning Solution for Quantification of Fluorescence Particles on a Membrane.

Sensors (Basel, Switzerland) Feb 5, 2023
The detection and quantification of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) virus particles in ambient waters using a membrane-based in-gel loop-mediated isothermal amplification (mgLAMP) method can play an important role in larg...
Microscopy, Fluorescence SARS-CoV-2 Membranes Deep Learning Humans COVID-19
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Early Identification of Crop Type for Smallholder Farming Systems Using Deep Learning on Time-Series Sentinel-2 Imagery.

Sensors (Basel, Switzerland) Feb 5, 2023
Climate change and the COVID-19 pandemic have disrupted the food supply chain across the globe and adversely affected food security. Early estimation of staple crops can assist relevant government agencies to take timely actions for ensuring food sec...
Deep Learning Agriculture COVID-19 Farms Humans Crops, Agricultural Pandemics
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DapNet-HLA: Adaptive dual-attention mechanism network based on deep learning to predict non-classical HLA binding sites.

Analytical biochemistry Feb 3, 2023
Human leukocyte antigen (HLA) plays a vital role in immunomodulatory function. Studies have shown that immunotherapy based on non-classical HLA has essential applications in cancer, COVID-19, and allergic diseases. However, there are few deep learnin...
Humans COVID-19 Deep Learning Binding Sites HLA Antigens Histocompatibility Antigens Class I
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CXR-Net: A Multitask Deep Learning Network for Explainable and Accurate Diagnosis of COVID-19 Pneumonia From Chest X-Ray Images.

IEEE journal of biomedical and health informatics Feb 3, 2023
Accurate and rapid detection of COVID-19 pneumonia is crucial for optimal patient treatment. Chest X-Ray (CXR) is the first-line imaging technique for COVID-19 pneumonia diagnosis as it is fast, cheap and easily accessible. Currently, many deep learn...
Humans COVID-19 Thorax Deep Learning X-Rays COVID-19 Testing Pneumonia, Viral
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Multi-objective optimization determines when, which and how to fuse deep networks: An application to predict COVID-19 outcomes.

Computers in biology and medicine Feb 2, 2023
The COVID-19 pandemic has caused millions of cases and deaths and the AI-related scientific community, after being involved with detecting COVID-19 signs in medical images, has been now directing the efforts towards the development of methods that ca...
Neural Networks, Computer Pandemics SARS-CoV-2 Deep Learning COVID-19 Humans
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MedLexSp - a medical lexicon for Spanish medical natural language processing.

Journal of biomedical semantics Feb 2, 2023
BACKGROUND: Medical lexicons enable the natural language processing (NLP) of health texts. Lexicons gather terms and concepts from thesauri and ontologies, and linguistic data for part-of-speech (PoS) tagging, lemmatization or natural language genera...
Semantics Unified Medical Language System Language Natural Language Processing Vocabulary, Controlled Humans COVID-19
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Biologically informed deep learning to query gene programs in single-cell atlases.

Nature cell biology Feb 2, 2023
The increasing availability of large-scale single-cell atlases has enabled the detailed description of cell states. In parallel, advances in deep learning allow rapid analysis of newly generated query datasets by mapping them into reference atlases. ...
COVID-19 Deep Learning Humans Single-Cell Analysis
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Socioexposomics of COVID-19 across New Jersey: a comparison of geostatistical and machine learning approaches.

Journal of exposure science & environmental epidemiology Feb 1, 2023
BACKGROUND: Disparities in adverse COVID-19 health outcomes have been associated with multiple social and environmental stressors. However, research is needed to evaluate the consistency and efficiency of methods for studying these associations at lo...
Air Pollution New Jersey COVID-19 SARS-CoV-2 Socioeconomic Factors Models, Statistical Humans Machine Learning Pandemics
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Explainable artificial intelligence model for identifying COVID-19 gene biomarkers.

Computers in biology and medicine Feb 1, 2023
AIM: COVID-19 has revealed the need for fast and reliable methods to assist clinicians in diagnosing the disease. This article presents a model that applies explainable artificial intelligence (XAI) methods based on machine learning techniques on COV...
Neoplasm Proteins Genetic Markers COVID-19 Risk Factors Humans Artificial Intelligence
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