AIMC Topic: COVID-19

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Next-generation COVID-19 detection using a metasurface biosensor with machine learning-enhanced refractive index sensing.

Scientific reports
This work introduces a high-performance graphene-silver hybrid metasurface biosensor for the fast and precise detection of COVID-19. Through parametric optimization with COMSOL Multiphysics, the sensor achieves a sensitivity of 400 GHz/RIU, a figure ...

An infection prediction model developed from inpatient data can predict out-of-hospital COVID-19 infections from wearable data when controlled for dataset shift.

Scientific reports
The COVID-19 pandemic highlighted the importance of early detection of illness and the need for health monitoring solutions outside of the hospital setting. We have previously demonstrated a real-time system to identify COVID-19 infection before diag...

An enhancement of machine learning model performance in disease prediction with synthetic data generation.

Scientific reports
The challenges of handling imbalanced datasets in machine learning significantly affect the model performance and predictive accuracy. Classifiers tend to favor the majority class, leading to biased training and poor generalization of minority classe...

NextGen lung disease diagnosis with explainable artificial intelligence.

Scientific reports
The COVID-19 pandemic has been the most catastrophic global health emergency of the [Formula: see text] century, resulting in hundreds of millions of reported cases and five million deaths. Chest X-ray (CXR) images are highly valuable for early detec...

Post-COVID-19 disruption of the respiratory microbiome modulates : a multi-center retrospective investigation study.

Emerging microbes & infections
Since the COVID-19 pandemic, there has been a notable resurgence of pneumonia (MPP) in children, with a concerning rise in the severity of cases. Although changes in post-pandemic respiratory infection patterns have been documented, the reasons behi...

Multiple biometric authentication for online banking system based on multiple fuzzy approach.

Scientific reports
Online banking continues to grow in popularity due to its convenience, but banks face significant challenges in ensuring secure customer identity verification. Traditional authentication methods such as PINs, passwords, and one-time passwords have sh...

A graph neural network-based approach for predicting SARS-CoV-2-human protein interactions from multiview data.

PloS one
The COVID-19 pandemic has demanded urgent and accelerated action toward developing effective therapeutic strategies. Drug repurposing models (in silico) are in high demand and require accurate and reliable molecular interaction data. While experiment...

Perceived Quality of Service in Primary Health Care Based on Google Maps Reviews Before, During, and After the COVID-19 Pandemic: Sentiment Analysis.

Journal of medical Internet research
BACKGROUND: The COVID-19 pandemic caused many changes in primary health care systems in Europe. The fast adoption of telemedicine, the shift of health care resources to COVID-19-related tasks, and the tendency of patients to cancel their nonurgent ap...

Examination of unique volatile organic compound signatures in nasopharyngeal test swab viral transport media using an electronic nose.

PloS one
Rapid point of care tests for respiratory infections are associated with high rates of false negative results which can drive empiric, and potentially inappropriate, antibiotic use. Because infectious pathogens alter VOC composition, unique VOC signa...

Social Media Recruitment in Indigenous and Native American Populations: Challenges in the AI Age.

JMIR public health and surveillance
Using social media recruitment for public health research presents both opportunities and challenges. Despite its increased use, few studies have detailed the practical issues, challenges encountered, and alternative strategies available for social m...