Cancer is a complex disease, responsible for a significant portion of global deaths. The
increasing prioritisation of know-why over know-how approaches in biological research has …

In this study, we investigate a new fractional-order mathematical model which considers
population dynamics among tumor cells-macrophage cells-active macrophage cells, and …

Mathematical Oncology investigates cancer-related phenomena through mathematical
models as comprehensive as possible. Accordingly, an interdisciplinary approach involving …

This paper proposes an optimization method for solving a general form of nonlinear
fractional optimal control problems (NFOCP) governed by nonlinear fractional dynamical …

Cancer is a major illness which still results in the loss of human lives regardless of the
inroads we make in the scientific and medical world. For this reason, recently, the medical …

ODE-based population models remain viable tools to investigate tumor growth and support
clinical evidence. By following a fractional approach, this study derives analytical solutions …

Fractional mathematical oncology is a research topic that applies non-integer order calculus
to tackle cancer problems such as tumor growth analysis or its optimal treatment. This work …

Breast cancer ranks among the most prevalent malignancies affecting the female population
and is a prominent contributor to cancer-related mortality. Mathematical modeling is a …

In this paper, we introduce a novel family of multivariate neural network operators involving
Riemann‐Liouville fractional integral operator of order α. Their pointwise and uniform …

In this study, we explore a recent biological model created to analyze the behavior of cancer
cells by administering a dose of a drug containing anti-PD-L1 and IL-10 with the Caputo and …