# LLM-Aging

**Repository Path**: chpxg/LLM-Aging

## Basic Information

- **Project Name**: LLM-Aging
- **Description**: LLM

- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-11-10
- **Last Updated**: 2025-11-10

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# LLMs Are Your Secret Aging Predictors
The code in this repository is used for the primary analysis presented in the paper ***Leveraging Large Language Models to Assess Overall and Organ-specific Aging in Large-scale General Populations***. The repository consists of two main components: **vllm_inference** and **Statistical_Analysis**.

**1.vllm_inference:** This part contains the inference code that utilizes large language models to predict multidimensional aging for individuals. The inference is implemented using the vllm framework.

**2.Statistical_Analysis:** This component focuses on the validation and application of biological age predictions generated by the large language models. It mainly uses R for subsequent statistical analysis.

For an overview of this study, see the figure below.

![Fig1_00](https://github.com/user-attachments/assets/727c923f-6b89-47a7-821e-c7c166aa1001)