Title

Modelling a Nanoscale Medical System as a Decentralised Markov Decision Process

Description

Nanonetworks consist of a large amount of nanoagents of sizes in range of 1-4000 nanometers that can be set up to fulfil a specific task such as medical diagnosis: DNA-based nanonetworks have been proposed as an alternative to polymerase chain reaction, PCR for short, for detecting arbitrary diseases on the basis of DNA. In this scenario, a disease sample is mixed with a medical nanosystem that computes a programmed function depending on environmental parameters to decide if a disease is present.

The goal of this thesis is to build a model of a nano-scale medical system used for diagnosis based on the formal framework of decentralised partially observable Markov decision processes for multi-agent decision making. The following paper provides a first step in that direction:  https://arxiv.org/abs/2110.09152

Requirements

Software engineering / programming skills

Person working on it

Niko Santalidis

Category

Master thesis