AIMC Topic: COVID-19
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Identifying the Interaction Between Tuberculosis and SARS-CoV-2 Infections via Bioinformatics Analysis and Machine Learning.
Biochemical genetics
Nov 22, 2023
The number of patients with COVID-19 caused by severe acute respiratory syndrome coronavirus 2 is still increasing. In the case of COVID-19 and tuberculosis (TB), the presence of one disease affects the infectious status of the other. Meanwhile, coin...
A deep learning feature extraction-based hybrid approach for detecting pediatric pneumonia in chest X-ray images.
Physical and engineering sciences in medicine
Nov 22, 2023
Pneumonia is a disease caused by bacteria, viruses, and fungi that settle in the alveolar sacs of the lungs and can lead to serious health complications in humans. Early detection of pneumonia is necessary for early treatment to manage and cure the d...
Humans are biocultural, science should be too.
Science (New York, N.Y.)
Nov 17, 2023
COVID-19 is restructuring societies. Loneliness is a global health threat. Large language models are outputting biased health care information, and human-artificial intelligence (AI) interfaces are reshaping how we live. For most humans, technology, ...
Experimental validation of immunogenic SARS-CoV-2 T cell epitopes identified by artificial intelligence.
Frontiers in immunology
Nov 17, 2023
During the COVID-19 pandemic we utilized an AI-driven T cell epitope prediction tool, the NEC Immune Profiler (NIP) to scrutinize and predict regions of T cell immunogenicity (hotspots) from the entire SARS-CoV-2 viral proteome. These immunogenic reg...
Deep learning framework for epidemiological forecasting: A study on COVID-19 cases and deaths in the Amazon state of Pará, Brazil.
PloS one
Nov 17, 2023
Modeling time series has been a particularly challenging aspect due to the need for constant adjustments in a rapidly changing environment, data uncertainty, dependencies between variables, volatile fluctuations, and the need to identify ideal hyperp...
Artificial intelligence in medical science: a review.
Irish journal of medical science
Nov 12, 2023
Artificial intelligence (AI) is a technique to make intelligent machines, mainly by using smart computer programs. It is based on a statistical analysis of data or machine learning. Using machine learning, software algorithms are designed according t...
Deep learning, 3D ultrastructural analysis reveals quantitative differences in platelet and organelle packing in COVID-19/SARSCoV2 patient-derived platelets.
Platelets
Nov 7, 2023
Platelets contribute to COVID-19 clinical manifestations, of which microclotting in the pulmonary vasculature has been a prominent symptom. To investigate the potential diagnostic contributions of overall platelet morphology and their α-granules and ...
The smarty4covid dataset and knowledge base as a framework for interpretable physiological audio data analysis.
Scientific data
Nov 6, 2023
Harnessing the power of Artificial Intelligence (AI) and m-health towards detecting new bio-markers indicative of the onset and progress of respiratory abnormalities/conditions has greatly attracted the scientific and research interest especially dur...
How intra-source imbalanced datasets impact the performance of deep learning for COVID-19 diagnosis using chest X-ray images.
Scientific reports
Nov 3, 2023
Over the past decade, the use of deep learning has been widely increasing in the medical image diagnosis field. Deep learning-based methods' (DLMs) performance strongly relies on training data. Therefore, researchers often focus on collecting as much...
Mapping the flow of knowledge as guidance for ethics implementation in medical AI: A qualitative study.
PloS one
Nov 2, 2023
In response to the COVID-19 crisis, Artificial Intelligence (AI) has been applied to a range of applications in healthcare and public health such as case identification or monitoring of the population. The urgency of the situation should not be to th...
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