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Updated: Sep 18, 2025
07:56
Genome Editing in Mammalian Cell Lines using CRISPR-Cas
Published on: April 11, 2019
22.1K
From Code to Life: The AI-Driven Revolution in Genome Editing.
Zhidong Li1,2, Wasi Ullah Khan1,2, Genxiang Bai3
1National Key Laboratory for Tropical Crop Breeding, College of breeding and multiplication (Sanya Institute of Breeding and Multiplication), Hainan University, Sanya, 572025, China.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|June 20, 2025
Summary
Artificial intelligence (AI) enhances genome editing by improving accuracy and reducing errors in DNA modifications. This synergy promises breakthroughs in medicine and agriculture, though ethical considerations remain crucial.
Area of Science:
- Biotechnology
- Bioinformatics
- Genomics
Background:
- Genome editing technologies enable precise DNA modifications with broad applications.
- Artificial intelligence (AI) is increasingly integrated into biotechnology.
- AI advancements offer new capabilities for genome editing tools.
Purpose of the Study:
- To review the intersection of AI and genome editing.
- To highlight key innovations and challenges in AI-driven genome editing.
- To discuss future prospects and ethical considerations.
Main Methods:
- Review of recent advancements in AI models for genome editing.
- Analysis of AI applications in target selection, off-target effect minimization, and CRISPR system optimization.
- Exploration of AI-powered tools for data integration and functional genomics.
Main Results:
- AI significantly enhances genome editing accuracy and efficiency.
- AI facilitates novel Cas protein discovery and gene regulatory network analysis.
- AI-powered tools accelerate therapeutic genome editing and functional genomics.
Conclusions:
- The integration of AI and genome editing holds transformative potential for precision medicine, genetic disease treatment, and agriculture.
- Ethical challenges, including data bias and algorithmic transparency, must be addressed through interdisciplinary collaboration.
- Continued AI evolution will drive further groundbreaking advancements in genetic technologies.
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