Programme

P.10 -- Posters, VCTP-50

Date: Tuesday, 5 August 2025

Time: 08:30 - 10:00

In silico ion-gated targeting treatment of selected diseases using a stochastically-reset Ising model

Lamento-Villegas E-EB (1), Bayang IJE (2), Villariba YDC (2), Caballar RCF (2), Egwolf B (2), Villegas VP (3)

(1) Philippine Eye Research Institute, National Institutes of Health, University of the Philippines Manila; (2) Department of Mathematics and Physics, University of Santo Tomas; (3) Department of Physics, School of Foundational Studies and Education, Mapua University

Experiments have shown that vision can be “restored” in blind retinal neurons by stimulating electrical impulses through the embedding of organic semiconductors, which are safe nonionizing implants functioning at body temperature. Furthermore, progress in medicine has shown that targeting cellular ion-gated channels is helpful in treating cancer. Through simulations, this study demonstrates both medical phenomena by factoring in stochastic resetting in a two-dimensional Ising model. Numerical results show that stochastic resetting helps in reducing the average percentage of blind retinal loci through time and increases linearly with respect to its initial value. On the other hand, combining the stochastically-reset Ising model with Hill-like binding curves demonstrates cancer apoptosis by inhibiting ion-gated channels through ligand binding. Progress in this computational study can lead to advances in retinal prostheses and cancer treatment.

Presenter: Lamento-Villegas Barbarona Em-Em