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Vaccine Development in the Time of COVID-19: The Relevance of the Risklick AI to Assist in Risk Assessment and Optimize Performance

The 2019 coronavirus (COVID-19) pandemic revealed the urgent need for the acceleration of vaccine development worldwide. Rapid vaccine development poses numerous risks for each category of vaccine technology. By using the Risklick artificial intelligence (AI), we estimated the risks associated with...

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Autores principales: Haas, Quentin, Borisov, Nikolay, Alvarez, David Vicente, Ferdowsi, Sohrab, von Meyenn, Leonhard, Teodoro, Douglas, Amini, Poorya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8593331/
https://www.ncbi.nlm.nih.gov/pubmed/34796360
http://dx.doi.org/10.3389/fdgth.2021.745674
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author Haas, Quentin
Borisov, Nikolay
Alvarez, David Vicente
Ferdowsi, Sohrab
von Meyenn, Leonhard
Teodoro, Douglas
Amini, Poorya
author_facet Haas, Quentin
Borisov, Nikolay
Alvarez, David Vicente
Ferdowsi, Sohrab
von Meyenn, Leonhard
Teodoro, Douglas
Amini, Poorya
author_sort Haas, Quentin
collection PubMed
description The 2019 coronavirus (COVID-19) pandemic revealed the urgent need for the acceleration of vaccine development worldwide. Rapid vaccine development poses numerous risks for each category of vaccine technology. By using the Risklick artificial intelligence (AI), we estimated the risks associated with all types of COVID-19 vaccine during the early phase of vaccine development. We then performed a postmortem analysis of the probability and the impact matrix calculations by comparing the 2020 prognosis to the contemporary situation. We used the Risklick AI to evaluate the risks and their incidence associated with vaccine development in the early stage of the COVID-19 pandemic. Our analysis revealed the diversity of risks among vaccine technologies currently used by pharmaceutical companies providing vaccines. This analysis highlighted the current and future potential pitfalls connected to vaccine production during the COVID-19 pandemic. Hence, the Risklick AI appears as an essential tool in vaccine development for the treatment of COVID-19 in order to formally anticipate the risks, and increases the overall performance from the production to the distribution of the vaccines. The Risklick AI could, therefore, be extended to other fields of research and development and represent a novel opportunity in the calculation of production-associated risks.
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spelling pubmed-85933312021-11-17 Vaccine Development in the Time of COVID-19: The Relevance of the Risklick AI to Assist in Risk Assessment and Optimize Performance Haas, Quentin Borisov, Nikolay Alvarez, David Vicente Ferdowsi, Sohrab von Meyenn, Leonhard Teodoro, Douglas Amini, Poorya Front Digit Health Digital Health The 2019 coronavirus (COVID-19) pandemic revealed the urgent need for the acceleration of vaccine development worldwide. Rapid vaccine development poses numerous risks for each category of vaccine technology. By using the Risklick artificial intelligence (AI), we estimated the risks associated with all types of COVID-19 vaccine during the early phase of vaccine development. We then performed a postmortem analysis of the probability and the impact matrix calculations by comparing the 2020 prognosis to the contemporary situation. We used the Risklick AI to evaluate the risks and their incidence associated with vaccine development in the early stage of the COVID-19 pandemic. Our analysis revealed the diversity of risks among vaccine technologies currently used by pharmaceutical companies providing vaccines. This analysis highlighted the current and future potential pitfalls connected to vaccine production during the COVID-19 pandemic. Hence, the Risklick AI appears as an essential tool in vaccine development for the treatment of COVID-19 in order to formally anticipate the risks, and increases the overall performance from the production to the distribution of the vaccines. The Risklick AI could, therefore, be extended to other fields of research and development and represent a novel opportunity in the calculation of production-associated risks. Frontiers Media S.A. 2021-11-02 /pmc/articles/PMC8593331/ /pubmed/34796360 http://dx.doi.org/10.3389/fdgth.2021.745674 Text en Copyright © 2021 Haas, Borisov, Alvarez, Ferdowsi, von Meyenn, Teodoro and Amini. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Digital Health
Haas, Quentin
Borisov, Nikolay
Alvarez, David Vicente
Ferdowsi, Sohrab
von Meyenn, Leonhard
Teodoro, Douglas
Amini, Poorya
Vaccine Development in the Time of COVID-19: The Relevance of the Risklick AI to Assist in Risk Assessment and Optimize Performance
title Vaccine Development in the Time of COVID-19: The Relevance of the Risklick AI to Assist in Risk Assessment and Optimize Performance
title_full Vaccine Development in the Time of COVID-19: The Relevance of the Risklick AI to Assist in Risk Assessment and Optimize Performance
title_fullStr Vaccine Development in the Time of COVID-19: The Relevance of the Risklick AI to Assist in Risk Assessment and Optimize Performance
title_full_unstemmed Vaccine Development in the Time of COVID-19: The Relevance of the Risklick AI to Assist in Risk Assessment and Optimize Performance
title_short Vaccine Development in the Time of COVID-19: The Relevance of the Risklick AI to Assist in Risk Assessment and Optimize Performance
title_sort vaccine development in the time of covid-19: the relevance of the risklick ai to assist in risk assessment and optimize performance
topic Digital Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8593331/
https://www.ncbi.nlm.nih.gov/pubmed/34796360
http://dx.doi.org/10.3389/fdgth.2021.745674
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