# Harnessing computational tools of the digital era for enhanced infection control

## TL;DR

This paper discusses how AI and big data can improve infection control and tackle antimicrobial resistance through modern computational tools.

## Contribution

The paper highlights innovative approaches and interdisciplinary collaboration for leveraging advanced computational tools in infection control.

## Key findings

- AI and machine learning can enhance the detection and management of infectious diseases.
- Big data analytics offer new ways to combat antimicrobial resistance.
- Ethical data practices are essential for integrating computational tools in healthcare.

## Abstract

This paper explores the potential of artificial intelligence, machine learning, and big data analytics in revolutionizing infection control. It addresses the challenges and innovative approaches in combating infectious diseases and antimicrobial resistance, emphasizing the critical role of interdisciplinary collaboration, ethical data practices, and integration of advanced computational tools in modern healthcare.