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

Chrysovalantis Voutouri; C. Corey Hardin; Vivek Naranbhai; Mohammad R. Nikmaneshi; Melin J. Khandekar; Justin F. Gainor; Triantafyllos Stylianopoulos; Lance L. Munn; Rakesh K. Jain

doi:10.1016/j.xcrm.2024.101436

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

Chrysovalantis Voutouri, C. Corey Hardin, Vivek Naranbhai, Mohammad R. Nikmaneshi, Melin J. Khandekar, Justin F. Gainor, Triantafyllos Stylianopoulos, Lance L. Munn, Rakesh K. Jain

Research output: Contribution to journal › Comment / Debate › Other › peer-review

Abstract

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.

Original language	English
Article number	101436
Number of pages	3
Journal	Cell Reports Medicine
Volume	5
Issue number	3
DOIs	https://doi.org/10.1016/j.xcrm.2024.101436
Publication status	Published - 19 Mar 2024
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.xcrm.2024.101436Licence: CC BY-NC-ND

Cite this

@article{fbe7dfa743154ef49402a0869ea7a293,

title = "In silico clinical studies for optimal COVID-19 vaccination schedules in patients with cancer",

abstract = "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.",

author = "Chrysovalantis Voutouri and Hardin, {C. Corey} and Vivek Naranbhai and Nikmaneshi, {Mohammad R.} and Khandekar, {Melin J.} and Gainor, {Justin F.} and Triantafyllos Stylianopoulos and Munn, {Lance L.} and Jain, {Rakesh K.}",

note = "Publisher Copyright: {\textcopyright} 2024 The Author(s)",

year = "2024",

month = mar,

day = "19",

doi = "10.1016/j.xcrm.2024.101436",

language = "English",

volume = "5",

journal = "Cell Reports Medicine",

issn = "2666-3791",

publisher = "Cell Press",

number = "3",

}

TY - JOUR

T1 - In silico clinical studies for optimal COVID-19 vaccination schedules in patients with cancer

AU - Voutouri, Chrysovalantis

AU - Hardin, C. Corey

AU - Naranbhai, Vivek

AU - Nikmaneshi, Mohammad R.

AU - Khandekar, Melin J.

AU - Gainor, Justin F.

AU - Stylianopoulos, Triantafyllos

AU - Munn, Lance L.

AU - Jain, Rakesh K.

PY - 2024/3/19

Y1 - 2024/3/19

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85188236346&partnerID=8YFLogxK

U2 - 10.1016/j.xcrm.2024.101436

DO - 10.1016/j.xcrm.2024.101436

M3 - Comment / Debate

AN - SCOPUS:85188236346

SN - 2666-3791

VL - 5

JO - Cell Reports Medicine

JF - Cell Reports Medicine

IS - 3

M1 - 101436

ER -

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

Abstract

UN SDGs

Access to Document

Other files and links

Cite this