Abstract PS13-44: Identifying relevant parameters that characterize the early response to NAT in breast cancer patients using a novel personalized mechanistic model integrating in vitro and in vivo imaging data
Year: 2021
Type: conference-abstract
Source: Cancer Research
Institutions: The University of Texas at Austin, Vanderbilt University
Language: English
Subfield: Modeling and Simulation
Field: Mathematics
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W3132220772
