Johnson Salomie Jennifer Samuel
Department of Biotechnology, Sree Sastha Institute of Engineering and Technology, Tiruvallur, Tamilnadu, India.
Methods Mol Biol. 2025;2952:219-232. doi: 10.1007/978-1-0716-4690-8_12.
The integration of Artificial Intelligence (AI) into the realms of cell and genetic engineering has ushered in a transformative era of innovation and discovery. This chapter explores the myriad ways in which AI technologies are revolutionizing these fields, from data analysis and drug discovery to genomic sequencing and gene editing. AI algorithms are adept at analyzing vast datasets, uncovering intricate patterns, and predicting biological phenomena with unparalleled accuracy. In drug discovery, AI-driven platforms expedite the identification of potential therapeutics by simulating molecular interactions and predicting their efficacy. Genomic sequencing efforts benefit from AI's ability to interpret genetic variations and their implications for health and disease. Furthermore, AI-guided gene editing techniques, such as CRISPR-Cas9, enable precise and targeted modifications of the genome. Beyond the laboratory, AI facilitates personalized medicine by analyzing genetic data to tailor treatments to individual patients. This chapter underscores the pivotal role of AI in advancing cell and genetic engineering, promising a future of unprecedented scientific breakthroughs and personalized healthcare solutions.
人工智能（AI）融入细胞与基因工程领域，开创了一个创新与发现的变革时代。本章探讨了人工智能技术在这些领域引发变革的多种方式，从数据分析、药物发现到基因组测序和基因编辑。人工智能算法擅长分析海量数据集，揭示复杂模式，并以前所未有的准确性预测生物现象。在药物发现方面，人工智能驱动的平台通过模拟分子相互作用和预测其疗效，加速了潜在治疗方法的识别。基因组测序工作受益于人工智能解读基因变异及其对健康和疾病影响的能力。此外，人工智能引导的基因编辑技术，如CRISPR-Cas9，能够对基因组进行精确和有针对性的修饰。在实验室之外，人工智能通过分析基因数据为个体患者量身定制治疗方案，推动个性化医疗。本章强调了人工智能在推进细胞与基因工程方面的关键作用，预示着一个将取得前所未有的科学突破和个性化医疗解决方案的未来。
