AIMC Topic: COVID-19 Vaccines
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The combination of artificial intelligence and systems biology for intelligent vaccine design.
Expert opinion on drug discovery
Jul 14, 2020
INTRODUCTION: A new body of evidence depicts the applications of artificial intelligence and systems biology in vaccine design and development. The combination of both approaches shall revolutionize healthcare, accelerating clinical trial processes a...
COVID-19 Coronavirus Vaccine Design Using Reverse Vaccinology and Machine Learning.
Frontiers in immunology
Jul 3, 2020
To ultimately combat the emerging COVID-19 pandemic, it is desired to develop an effective and safe vaccine against this highly contagious disease caused by the SARS-CoV-2 coronavirus. Our literature and clinical trial survey showed that the whole vi...
Artificial Intelligence (AI) applications for COVID-19 pandemic.
Diabetes & metabolic syndrome
Apr 14, 2020
BACKGROUND AND AIMS: Healthcare delivery requires the support of new technologies like Artificial Intelligence (AI), Internet of Things (IoT), Big Data and Machine Learning to fight and look ahead against the new diseases. We aim to review the role o...
Artificial intelligence and machine learning to fight COVID-19.
Physiological genomics
Mar 27, 2020
Detection of S1 spike protein in CD16+ monocytes up to 245 days in SARS-CoV-2-negative post-COVID-19 vaccine syndrome (PCVS) individuals.
Human vaccines & immunotherapeutics
Dec 1, 2025
Despite over 13 billion SARS-CoV-2 vaccine doses administered globally, persistent post-vaccination symptoms, termed post-COVID-19 vaccine syndrome (PCVS), resemble post-acute sequelae of COVID-19 (PASC). Symptoms like cardiac, vascular, and neurolog...
Computationally designed proteins mimic antibody immune evasion in viral evolution.
Immunity
Jun 10, 2025
Recurrent waves of viral infection necessitate vaccines and therapeutics that remain effective against emerging viruses. Our ability to evaluate interventions is currently limited to assessments against past or circulating variants, which likely diff...
An informed deep learning model of the Omicron wave and the impact of vaccination.
Computers in biology and medicine
Jun 1, 2025
The Omicron (B.1.1.529) variant of SARS-CoV-2 emerged in November 2021 and has since evolved into multiple lineages. Understanding its transmission, vaccine efficacy, and potential for reinfection is crucial. This study examines the dynamics of Omicr...
A Double Machine Learning Approach for the Evaluation of COVID-19 Vaccine Effectiveness Under the Test-Negative Design: Analysis of Québec Administrative Data.
Statistics in medicine
Feb 28, 2025
The test-negative design (TND), which is routinely used for monitoring seasonal flu vaccine effectiveness (VE), has recently become integral to COVID-19 vaccine surveillance, notably in Québec, Canada. Some studies have addressed the identifiability ...
Artificial intelligence in vaccine research and development: an umbrella review.
Frontiers in immunology
Jan 1, 2025
BACKGROUND: The rapid development of COVID-19 vaccines highlighted the transformative potential of artificial intelligence (AI) in modern vaccinology, accelerating timelines from years to months. Nevertheless, the specific roles and effectiveness of ...
Machine learning to understand risks for severe COVID-19 outcomes: a retrospective cohort study of immune-mediated inflammatory diseases, immunomodulatory medications, and comorbidities in a large US health-care system.
The Lancet. Digital health
May 1, 2024
BACKGROUND: In the context of immune-mediated inflammatory diseases (IMIDs), COVID-19 outcomes are incompletely understood and vary considerably depending on the patient population studied. We aimed to analyse severe COVID-19 outcomes and to investig...
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