arXiv subjects

A. Sila Okcu

Publications and source records attributed to A. Sila Okcu.

2 recordsLinked to original sources

arXiv2025

Physical Limits of Proximal Tumor Detection via MAGE-A Extracellular Vesicles

Early cancer detection relies on invasive tissue biopsies or liquid biopsies limited by biomarker dilution. In contrast, tumour-derived extracellular vesicles (EVs) carrying biomarkers like melanoma-associated antigen-A (MAGE-A) are highly concentrated in the peri-tumoral interstitial space, offering a promising near-field target. However, at micrometre scales, EV transport is governed by stochastic diffusion in a low copy number regime, increasing the risk of false negatives. We theoretically assess the feasibility of a smart-needle sensor detecting MAGE-A-positive microvesicles near a tumour. We use a hybrid framework combining particle-based Brownian dynamics (Smoldyn) to quantify stochastic arrival and false negative probabilities, and a reaction-diffusion PDE for mean concentration profiles. Formulating detection as a threshold-based binary hypothesis test, we find a maximum feasible detection radius of approximately 275 micrometers for a 6000 s sensing window. These results outline the physical limits of proximal EV-based detection and inform the design of minimally invasive peri-tumoral sensors.

physics.med-ph↗

arXiv2025

Internet of Intelligent Reflecting Surfaces (IoIRS)

Intelligent Reflecting Surfaces (IRS) are anticipated to serve as a key cornerstone of future wireless networks, providing an unmatched capability to deterministically shape electromagnetic wave propagation. Despite this potential, most existing research still considers the IRS merely as a standalone physical-layer component, controlled by transmitters. However, as networks grow to encompass a massive number of these surfaces and a massive number of transmitters wishing to use them, this transmitter-centric design encounters substantial challenges. To overcome this challenge, we propose the Internet of IRS (IoIRS), an architecture that reconceives the IRS not just as a passive reflecting surface, but as a connected, hybrid entity functioning across both the physical layer and upper network layers. We present the conceptual framework and a preliminary protocol suite necessary to integrate these surfaces into the higher network layers. We conclude by examining how IoIRS architectures could be applied in practice, as their deployment will be essential for fully realizing the capabilities of future wireless networks.

cs.NI↗