From numbers to medical knowledge: harnessing combinatorial data patterns to predict COVID-19 resource needs and distinguish patient subsets

From numbers to medical knowledge: harnessing combinatorial data patterns to predict COVID-19 resource needs and distinguish patient subsets

BackgroundThe COVID-19 pandemic intensified the use of scarce resources, including extracorporeal membrane oxygenation (ECMO) and mechanical ventilation (MV). The combinatorial features of the immune system may be considered to estimate such needs and facilitate continuous open-ended knowledge disco...

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Bibliographic Details
Main Authors: Parthkumar H. Satashia, Pablo Moreno Franco, Ariel L. Rivas, Shahin Isha, Abby Hanson, Sai Abhishek Narra, Kawaljeet Singh, Anna Jenkins, Anirban Bhattacharyya, Pramod Guru, Sanjay Chaudhary, Sean Kiley, Anna Shapiro, Archer Martin, Mathew Thomas, Basar Sareyyupoglu, Claudia R. Libertin, Devang K. Sanghavi
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-11-01
Series:Frontiers in Medicine
Subjects:
personalized and prognostic medicine
resource allocation
early patient partitioning
structured blood leukocyte data
combinatorial immunology
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2023.1240426/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2023.1240426/full

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