# Health effects of intermittent fasting and the role of artificial intelligence technologies in optimizing its clinical translation

## TL;DR

This paper reviews how intermittent fasting can improve health and how AI can help understand and optimize its benefits for disease prevention.

## Contribution

The paper introduces how AI technologies can be used to uncover the mechanisms of intermittent fasting in preventing chronic diseases.

## Key findings

- AI can integrate omics datasets to reveal how intermittent fasting prevents chronic diseases.
- AI helps analyze IF's effects on metabolism, stress responses, and immune systems.
- AI supports the development of personalized dietary strategies based on intermittent fasting.

## Abstract

As a non-pharmacological approach, Intermittent Fasting (IF) exhibits the capacity to boost health and counteract chronic diseases by regulating the metabolism, strengthening the cellular resistance to stress, and reshaping the immune microenvironment. The rapid progress of Artificial Intelligence (AI) technologies has greatly advanced our comprehension of IF's diverse health benefits. This review outlines AI's role in enhancing the exploration of IF's function in governing systemic health, clarifies the association between IF and health outcomes, and specifies AI's function in analyzing IF's impacts, which cover metabolic processes, cellular stress responses, disease prevention, and the development of personalized dietary strategies. By leveraging AI to integrate various omics datasets, the mechanisms through which IF prevents chronic diseases can be uncovered. This review discusses the challenges that AI faces in researching diet-related health mechanisms and presents an outlook on future developments. AI offers innovative methods to investigate IF's effects on chronic disease prevention, which could lay the foundation for more efficient strategies to support healthier and longer lifespans.