Artificial Intelligence Applied to in vitro Gene Expression Testing (IVIGET) to Predict Trivalent Inactivated Influenza Vaccine Immunogenicity in HIV Infected Children

Artificial Intelligence Applied to in vitro Gene Expression Testing (IVIGET) to Predict Trivalent Inactivated Influenza Vaccine Immunogenicity in HIV Infected Children

The number of patients affected by chronic diseases with special vaccination needs is burgeoning. In this scenario, predictive markers of immunogenicity, as well as signatures of immune responses are typically missing even though it would especially improve the identification of personalized immuniz...

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Bibliographic Details
Main Authors: Nicola Cotugno, Veronica Santilli, Giuseppe Rubens Pascucci, Emma Concetta Manno, Lesley De Armas, Suresh Pallikkuth, Annalisa Deodati, Donato Amodio, Paola Zangari, Sonia Zicari, Alessandra Ruggiero, Martina Fortin, Christina Bromley, Rajendra Pahwa, Paolo Rossi, Savita Pahwa, Paolo Palma
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-10-01
Series:Frontiers in Immunology
Subjects:
gene expression
predictive biomarkers
artificial intelligence
deep learning
influenza vaccine
HIV
Online Access:https://www.frontiersin.org/article/10.3389/fimmu.2020.559590/full

Internet

https://www.frontiersin.org/article/10.3389/fimmu.2020.559590/full

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