In silico clinical studies for optimal COVID-19 vaccination schedules in patients with cancer

This study introduces a tailored COVID-19 model for patients with cancer, incorporating viral variants and immune-response dynamics. The model aims to optimize vaccination strategies, contributing to personalized healthcare for vulnerable groups. This study introduces a tailored COVID-19 model for p...

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Veröffentlicht in:	Cell reports. Medicine 2024-03, Vol.5 (3), p.101436-101436, Article 101436
Hauptverfasser:	Voutouri, Chrysovalantis, Hardin, C. Corey, Naranbhai, Vivek, Nikmaneshi, Mohammad R., Khandekar, Melin J., Gainor, Justin F., Stylianopoulos, Triantafyllos, Munn, Lance L., Jain, Rakesh K.
Format:	Artikel
Sprache:	eng
Schlagworte:	COVID-19 - prevention & control COVID-19 Vaccines - therapeutic use Humans Neoplasms Vaccination
Online-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	This study introduces a tailored COVID-19 model for patients with cancer, incorporating viral variants and immune-response dynamics. The model aims to optimize vaccination strategies, contributing to personalized healthcare for vulnerable groups. This study introduces a tailored COVID-19 model for patients with cancer, incorporating viral variants and immune-response dynamics. The model aims to optimize vaccination strategies, contributing to personalized healthcare for vulnerable groups.
ISSN:	2666-3791 2666-3791
DOI:	10.1016/j.xcrm.2024.101436