Heiko Enderling

Summary

Assistant Member in the Department of Mathematical Oncology and Department of Radiation Oncology at H. Lee Moffitt Cancer Center & Research Institute; Assistant Professor in the Department of Oncological Sciences at the University of South Florida;
Director for Education and Outreach at the Moffitt Physical Sciences in Oncology Center

Agents & Multi-Agent Systems Biophysics Computational Biology Mathematical Biology Oncology Radiology & Medical Imaging

Work details

Assistant Member

H. Lee Moffitt Cancer Center & Research Institute

May 2013

Integrated Mathematical Oncology

I am a computer scientist turned mathematical oncologist, and am interested in mathematical and computational models of cancer dynamics, with focus on quantitative personalized medicine and radiation and immunotherapy in particular. The aim of the @EnderlingLab is to integrate mathematical, computational, biological and clinical sciences to thoroughly investigate tumor growth and response to single or combination therapy. In close collaboration with experimentalists and clinicians, mathematical models that are parameterized with experimental and clinical data can help estimate patient-specific disease dynamics and treatment success. This positions us at the forefront of the advent of 'virtual trials' to personalize cancer treatment.

Websites

PeerJ Contributions

Edited 3

Academic Editor on

July 1, 2019

Radiation dose-response (a Bayesian model) in the radiotherapy of the localized prostatic adenocarcinoma: the reliability of PSA slope changes as a response surrogate endpoint

Reza Ali Mohammadpour, Jamshid Yazdani- Charati, SZahra Faghani, Ahad Alizadeh, Mohammadreza Barzegartahamtan

https://doi.org/10.7717/peerj.7172 PubMed 31304057

June 19, 2018

The impact of PI3K inhibitors on breast cancer cell and its tumor microenvironment

Hanjiao Qin, Linlin Liu, Shu Sun, Dan Zhang, Jiyao Sheng, Bingjin Li, Wei Yang

https://doi.org/10.7717/peerj.5092 PubMed 29942710

February 5, 2018

Complex versus simple models: ion-channel cardiac toxicity prediction

Hitesh B. Mistry

https://doi.org/10.7717/peerj.4352 PubMed 29423349