[HTML][HTML] Cancer modeling: From mechanistic to data-driven approaches, and from fundamental insights to clinical applications

S Bekisz, L Geris - Journal of Computational Science, 2020 - Elsevier
Cancer is still one of the major causes of death worldwide. Even if its comprehension is
improving continuously, the complexity and heterogeneity of this group of diseases …

[HTML][HTML] Optimal control theory for personalized therapeutic regimens in oncology: Background, history, challenges, and opportunities

AM Jarrett, D Faghihi, DA Hormuth, EABF Lima… - Journal of clinical …, 2020 - mdpi.com
Optimal control theory is branch of mathematics that aims to optimize a solution to a
dynamical system. While the concept of using optimal control theory to improve treatment …

[HTML][HTML] Optimal control to reach eco-evolutionary stability in metastatic castrate-resistant prostate cancer

J Cunningham, F Thuijsman, R Peeters, Y Viossat… - Plos one, 2020 - journals.plos.org
In the absence of curative therapies, treatment of metastatic castrate-resistant prostate
cancer (mCRPC) using currently available drugs can be improved by integrating …

Optimizing adaptive cancer therapy: dynamic programming and evolutionary game theory

M Gluzman, JG Scott… - Proceedings of the …, 2020 - royalsocietypublishing.org
Recent clinical trials have shown that adaptive drug therapies can be more efficient than a
standard cancer treatment based on a continuous use of maximum tolerated doses (MTD) …

Solving an optimal control problem of cancer treatment by artificial neural networks

F Heydarpour, E Abbasi, MJ Ebadi, SM Karbassi - IJIMAI, 2020 - dialnet.unirioja.es
Cancer is an uncontrollable growth of abnormal cells in any tissue of the body. Many
researchers have focused on machine learning and artificial intelligence (AI) based on …

Optimal control of cytotoxic and antiangiogenic therapies on prostate cancer growth

P Colli, H Gomez, G Lorenzo, G Marinoschi… - … Models and Methods …, 2021 - World Scientific
Prostate cancer can be lethal in advanced stages, for which chemotherapy may become the
only viable therapeutic option. While there is no clear clinical management strategy fitting all …

[HTML][HTML] Prospect for application of mathematical models in combination cancer treatments

J Malinzi, KB Basita, S Padidar, HA Adeola - Informatics in Medicine …, 2021 - Elsevier
The long-term efficacy of targeted therapeutics for cancer treatment can be significantly
limited by the type of therapy and development of drug resistance, inter alia. Experimental …

Solving multi-objective functions for cancer treatment by using metaheuristic algorithms.

F Heydarpoor, SM Karbassi… - International Journal …, 2020 - search.ebscohost.com
In this context, we introduce a multi-objective optimization problem (MOOP) to
simultaneously minimize the objectives of cancerous cells density as well as the approved …

[HTML][HTML] On drug resistance and metronomic chemotherapy: A mathematical modeling and optimal control approach

U Ledzewicz, S Wang, H Schättler… - Mathematical …, 2016 - aimsciences.org
On drug resistance and metronomic chemotherapy: A mathematical modeling and optimal
control approach AIMS share this content in Facebook share this content in Twitter share …

A mathematical model of the dynamics of lymphatic filariasis in Caraga Region, the Philippines

PKN Salonga, VMP Mendoza… - Royal Society …, 2021 - royalsocietypublishing.org
Despite being one of the first countries to implement mass drug administration (MDA) for
elimination of lymphatic filariasis (LF) in 2001 after a pilot study in 2000, the Philippines is …