AIMC Topic: COVID-19
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Robotic versus manual disinfection of global priority pathogens at COVID-19-dedicated hospitals.
American journal of infection control
Jan 21, 2025
BACKGROUND: Twelve bacterial families identified as global priority pathogens (GPPs) pose the greatest threat to human health due to declining antibiotic efficacy. Robotics, a swift and contactless tool for disinfecting hospital surfaces, was sought ...
Paying attention to the SARS-CoV-2 dialect : a deep neural network approach to predicting novel protein mutations.
Communications biology
Jan 21, 2025
Predicting novel mutations has long-lasting impacts on life science research. Traditionally, this problem is addressed through wet-lab experiments, which are often expensive and time consuming. The recent advancement in neural language models has pro...
Machine learning based prediction models for the prognosis of COVID-19 patients with DKA.
Scientific reports
Jan 21, 2025
Patients with Diabetic ketoacidosis (DKA) have increased critical illness and mortality during coronavirus diseases 2019 (COVID-19). The aim of our study was to develop a predictive model for the occurrence of critical illness and mortality in COVID-...
Humoral and cell-mediated immune responses to COVID-19 vaccines up to 6 months post three-dose primary series in adults with inborn errors of immunity and their breakthrough infections.
Frontiers in immunology
Jan 21, 2025
PURPOSE: Many individuals with inborn errors of immunity (IEIs) have poor humoral immune (HI) vaccine responses. Only a few studies have examined specific cell-mediated immune (CMI) responses to coronavirus disease 2019 (COVID-19) vaccines in this po...
Era of Generalist Conversational Artificial Intelligence to Support Public Health Communications.
Journal of medical Internet research
Jan 20, 2025
The integration of artificial intelligence (AI) into health communication systems has introduced a transformative approach to public health management, particularly during public health emergencies, capable of reaching billions through familiar digit...
An effective COVID-19 classification in X-ray images using a new deep learning framework.
Journal of X-ray science and technology
Jan 19, 2025
BackgroundThe global concern regarding the diagnosis of lung-related diseases has intensified due to the rapid transmission of coronavirus disease 2019 (COVID-19). Artificial Intelligence (AI) based methods are emerging technologies that help to iden...
Mitigating bias in AI mortality predictions for minority populations: a transfer learning approach.
BMC medical informatics and decision making
Jan 17, 2025
BACKGROUND: The COVID-19 pandemic has highlighted the crucial role of artificial intelligence (AI) in predicting mortality and guiding healthcare decisions. However, AI models may perpetuate or exacerbate existing health disparities due to demographi...
Predicting work ability impairment in post COVID-19 patients: a machine learning model based on clinical parameters.
Infection
Jan 16, 2025
The Post COVID-19 condition (PCC) is a complex disease affecting health and everyday functioning. This is well reflected by a patient's inability to work (ITW). In this study, we aimed to investigate factors associated with ITW (1) and to design a ma...
Role of Artificial Intelligence in Identifying Vital Biomarkers with Greater Precision in Emergency Departments During Emerging Pandemics.
International journal of molecular sciences
Jan 16, 2025
The COVID-19 pandemic has accelerated advances in molecular biology and virology, enabling the identification of key biomarkers to differentiate between severe and mild cases. Furthermore, the use of artificial intelligence (AI) and machine learning ...
A machine learning-based analysis for the effectiveness of online teaching and learning in Pakistan during COVID-19 lockdown.
Work (Reading, Mass.)
Jan 15, 2025
BackgroundThe COVID-19 pandemic has significantly disrupted daily life and education, prompting institutions to adopt online teaching.ObjectiveThis study delves into the effectiveness of these methods during the lockdown in Pakistan, employing machin...
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