[HTML][HTML] Cancer modeling: From mechanistic to data-driven approaches, and from fundamental insights to clinical applications
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 …
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
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 …
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
In the absence of curative therapies, treatment of metastatic castrate-resistant prostate
cancer (mCRPC) using currently available drugs can be improved by integrating …
cancer (mCRPC) using currently available drugs can be improved by integrating …
Optimizing adaptive cancer therapy: dynamic programming and evolutionary game theory
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) …
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
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 …
researchers have focused on machine learning and artificial intelligence (AI) based on …
Optimal control of cytotoxic and antiangiogenic therapies on prostate cancer growth
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 …
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
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 …
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 …
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
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 …
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 …
elimination of lymphatic filariasis (LF) in 2001 after a pilot study in 2000, the Philippines is …