---
title: "JENKEM: Actively exploring the optimization of existing R&D processes through AI"
type: "News"
locale: "en"
url: "https://longbridge.com/en/news/255562778.md"
description: "JENKEM stated on the interactive platform that it has formed a computational biology team to explore optimizing the R&D process through AI, particularly in key areas such as drug structure design and molecular screening. Although no significant results have been achieved yet, the short-term impact on performance is minimal, but the company is optimistic about the potential of AI in improving R&D efficiency and reducing costs"
datetime: "2025-09-02T07:36:11.000Z"
locales:
  - [zh-CN](https://longbridge.com/zh-CN/news/255562778.md)
  - [en](https://longbridge.com/en/news/255562778.md)
  - [zh-HK](https://longbridge.com/zh-HK/news/255562778.md)
---

# JENKEM: Actively exploring the optimization of existing R&D processes through AI

JENKEM stated on the interactive platform on September 2nd that the company has initially formed and is continuously strengthening its computational biology team to actively explore the optimization of existing R&D processes through AI, particularly in key areas such as drug structure design and molecular screening. The goal is to achieve a more scientific and efficient decision-making process, thereby promoting the R&D progress of polyethylene glycol material innovation applications. As of now, the company has not yet achieved significant R&D results through AI, and it will not have a major impact on the company's performance in the short term. However, the company recognizes the enormous potential of AI technology in enhancing R&D efficiency and reducing R&D costs

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