Computational modelling of modern cancer immunotherapy

D Valentinuzzi, R Jeraj - Physics in Medicine & Biology, 2020 - iopscience.iop.org
Modern cancer immunotherapy has revolutionised oncology and carries the potential to
radically change the approach to cancer treatment. However, numerous questions remain to …

Optimizing the timing and composition of therapeutic phage cocktails: a control-theoretic approach

G Li, CY Leung, Y Wardi, L Debarbieux… - Bulletin of mathematical …, 2020 - Springer
Viruses that infect bacteria, ie, bacteriophage or 'phage,'are increasingly considered as
treatment options for the control and clearance of bacterial infections, particularly as …

Metaheuristics and Pontryagin's minimum principle for optimal therapeutic protocols in cancer immunotherapy: a case study and methods comparison

S Sarv Ahrabi, A Momenzadeh - Journal of Mathematical Biology, 2020 - Springer
In this paper, the performance appropriateness of population-based metaheuristics for
immunotherapy protocols is investigated on a comparative basis while the goal is to …

Tumor control, elimination, and escape through a compartmental model of dendritic cell therapy for melanoma

LR Dickman, E Milliken, Y Kuang - SIAM Journal on Applied Mathematics, 2020 - SIAM
Melanoma, the deadliest form of skin cancer, is regularly treated by surgery in conjunction
with a targeted therapy or immunotherapy. Dendritic cell therapy is an immunotherapy that …

A mixed therapy minimal model: Some strategies for eradication or minimization of cancer

MY Baba, M Saleem, M Noman, A Raheem - Computer Methods and …, 2020 - Elsevier
Abstract Background and Objective In most of the cancer therapeutic models separate
equations for consumption of drugs are used, we however use parameters m and s to see …

Improving convergence in therapy scheduling optimization: A simulation study

JC Chimal-Eguia, JC Rangel-Reyes… - Mathematics, 2020 - mdpi.com
The infusion times and drug quantities are two primary variables to optimize when designing
a therapeutic schedule. In this work, we test and analyze several extensions to the gradient …

Linear-in-flux-expression (LIFE) approach to dynamic biological networks

NJ Merrill - 2020 - rucore.libraries.rutgers.edu
Biological systems are inherently dynamic. Examples of dynamic networks are 1.)
interactions of metabolites in metabolic networks, 2.) cycling and entrainment of biological …

کنترل جمعیت سلول‌های سرطانی در مدل غیرخطی سرطان ملانوما با لحاظ عدم قطعیت با استفاده از الگوریتم یادگیری Q تحت سیاست استدلال مبتنی بر مورد (CBR)

نوری, امین, کلهر, صدرنیا, صبوری راد - نشریه مهندسی برق و الکترونیک …, 2020‎ - jiaeee.com
سرطان پوست یکی از خطرناک‌ترین سرطان‌هایی است که همه ساله افراد زیادی به آن مبتلا می‌شوند. به
همین دلیل تشخیص و درمان سریع این سرطان بسیار برای پزشکان حایز اهمیت می‌باشد، در چند دهه …

[PDF][PDF] Modelizado Matemático Cualitativo de Cáncer Gástrico

LF Martınez, D Gamboa, LN Coria, PA Valle - researchgate.net
El cáncer gástrico se ha posicionado como una de las principales causas de muerte a nivel
mundial. La mayorıa de estos tumores son adenocarcinomas desarrollados en los epitelios …

Analysis of Tumor-Immune Dynamics in an Evolving Dendritic Cell Therapy Model

LR Dickman - 2020 - search.proquest.com
Cancer is a worldwide burden in every aspect: physically, emotionally, and financially. A
need for innovation in cancer research has led to a vast interdisciplinary effort to search for …