Selective nano-thermal therapy of human retinoblastoma in retinal laser surgery.

In this research, an experimental validated predictive finite element model of a cancerous human eye is developed to investigate how the tumor cells in retinoblastoma can be selectively damaged in the course of laser irradiation. In the computational modeling, the tumor is assumed to be in the initial growth stages and located in the macular zone. The statistical calculations testify that an 8.5% improvement in our estimation of the experimental temperature inside the normal human eye compared to those provided by the previous model has been achieved. Under the surgical conditions, the at-risk regions are determined, and the thermal responses of the tissue to various intrinsic and operating factors are obtained and discussed. Our findings indicate that, in the same amount of exposure time, introducing biodegradable nanoparticles in a concentration of 0.2 into the tumor tissue can increase the lethal zone area by 51 percent, and could plays an effective role in surviving of corneal injury.

Safe optimal control of cancer using a Control Barrier Function technique.

This paper addresses the problem of designing a safe and optimal control strategy for typical cancer using the Control Barrier Function (CBF) technique. Cancer is a complex and highly dynamic disease characterized by uncontrolled cell growth and proliferation. By formulating the cancer dynamics as a control system, this study introduces a CBF-based controller that guides the cancerous tissue towards safe and controlled behaviors. The controller is designed to simultaneously optimize treatment efficacy and patient safety. The methodology involves modeling the cancer growth dynamics, incorporating relevant biological constraints, and designing the CBF-based controller to regulate the tumor's evolution within acceptable bounds. Simulation results demonstrate the effectiveness of the CBF-based strategy in achieving safe and optimal cancer control. The controller showcases the ability to drive the cancerous tissue towards desired states while respecting predefined safety constraints.