Work

Abstract PO-114: Mathematical modeling of tumor heterogeneity to optimize treatment scheduling and delay the evolution of resistance

Year: 2020

Type: conference-abstract

Source: Cancer Research

DOI: 10.1158/1538-7445.tumhet2020-po-114

Authors: Deepti Mathur, Bradford Porter Taylor, Walid Chatila, Nikolaus Schultz, Pedram Razavi, Joao Xavier

Institution: Memorial Sloan Kettering Cancer Center

Language: English

Topic: Mathematical Biology Tumor Growth

Subfield: Modeling and Simulation

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W3096727002

Cites:

Cited by:

Related to: 10