# A Model for Emergence of Multiple Anti-Microbial Resistance in a Petri Torus

## TL;DR

This paper presents a lattice model using Ising perceptrons to simulate bacterial interactions with antimicrobial drugs, capturing resistance emergence and highlighting the benefits of drug mixing strategies.

## Contribution

It introduces a novel statistical physics lattice model that links theoretical predictions with measurable in vitro experimental parameters.

## Key findings

- Mixing drugs reduces resistance emergence compared to other protocols.
- The model reproduces qualitative features of resistance development.
- Parameters can be experimentally measured in vitro.

## Abstract

This work introduces a new statistical physics lattice model of bacteria interacting with anti-microbial drugs that can reproduce qualitative features of resistance emergence and whose model parameters and outputs can be measured with controlled \textit{in vitro} experiments. The lattice is inhabited by agents modeled by Ising perceptrons. The results show the advantage of mixing drugs among the population compared to other treatment protocols.