A framework for performing data-driven modeling of tumor growth with radiotherapy treatment

H Cho, AL Lewis, KM Storey, R Jennings… - Using Mathematics to …, 2021 - Springer
Recent technological advances make it possible to collect detailed information about
tumors, and yet clinical assessments about treatment responses are typically based on …

Opportunities for quantitative translational modeling in oncology

JWT Yates, H Byrne, SC Chapman… - Clinical …, 2020 - Wiley Online Library
A 2‐day meeting was held by members of the UK Quantitative Systems Pharmacology
Network (< http://www. qsp‐uk. net/>) in November 2018 on the topic of Translational …

Bayesian information-theoretic calibration of radiotherapy sensitivity parameters for informing effective scanning protocols in cancer

H Cho, AL Lewis, KM Storey - Journal of clinical medicine, 2020 - mdpi.com
With new advancements in technology, it is now possible to collect data for a variety of
different metrics describing tumor growth, including tumor volume, composition, and …

Bayesian information-theoretic calibration of patient-specific radiotherapy sensitivity parameters for informing effective scanning protocols in cancer

H Cho, AL Lewis, KM Storey - arXiv preprint arXiv:2009.02620, 2020 - arxiv.org
With new advancements in technology, it is now possible to collect data for a variety of
different metrics describing tumor growth, including tumor volume, composition, and …