Basumatary Devi, Devi Shalini G, Swargiary Deepsikha, Borah Jagat C
Chemical Biology Lab-I, Institute of Advanced Study in Science and Technology (IASST), Guwahati, Assam, India.
Department of Biotechnology, Guwahati University, Guwahati, Assam, India.
Methods Mol Biol. 2025;2952:125-148. doi: 10.1007/978-1-0716-4690-8_8.
Personalized medicine, also known as precision medicine, is a branch of medicine that considers each patient's unique genetic makeup, lifestyle, and environment to customize treatment plans, preventative measures, and diagnoses. By tailoring medical interventions to individual genetic profiles, personalized medicine maximizes treatment efficacy. Better health outcomes and less trial-and-error in therapy selection result from this method, which guarantees that patients receive medicines that are most likely to work for them. Artificial intelligence-based drug discovery and design is an innovative approach that leverages artificial intelligence (AI) techniques to develop personalized medicines tailored to individual genetic profiles. AI holds immense promise in revolutionizing personalized medicine by harnessing the power of data-driven insights to optimize healthcare delivery, improve patient outcomes, and advance our understanding of disease mechanisms and treatment strategies. AI-based algorithms can be optimized to analyze large-scale, diversified datasets, including genetic information and by integrating and examining numerous data sources, AI can find patterns, correlations, and insights that conventional analytic techniques would miss. AI algorithms are used to interpret complex genomic data, such as DNA sequencing results, to identify genetic variants associated with disease susceptibility, drug response, and treatment outcomes. This chapter aims to analyze the present state of AI-based drug development for various genetic designs, along with the accompanying issues and measures to fully utilize the potential AI holds in personalized medicine.
个性化医疗，也被称为精准医疗，是医学的一个分支，它考虑每个患者独特的基因构成、生活方式和环境，以定制治疗方案、预防措施和诊断。通过根据个体基因特征定制医疗干预措施，个性化医疗可使治疗效果最大化。这种方法能带来更好的健康结果，减少治疗选择中的反复试验，确保患者获得最有可能对其有效的药物。基于人工智能的药物发现与设计是一种创新方法，它利用人工智能（AI）技术开发针对个体基因特征的个性化药物。人工智能通过利用数据驱动的见解来优化医疗服务、改善患者预后，并增进我们对疾病机制和治疗策略的理解，在彻底改变个性化医疗方面具有巨大潜力。基于人工智能的算法可以进行优化，以分析大规模、多样化的数据集，包括基因信息，通过整合和检查众多数据源，人工智能可以发现传统分析技术会遗漏的模式、相关性和见解。人工智能算法用于解读复杂的基因组数据，如DNA测序结果，以识别与疾病易感性、药物反应和治疗结果相关的基因变异。本章旨在分析针对各种基因设计的基于人工智能的药物开发现状，以及伴随的问题和充分利用人工智能在个性化医疗中所具有潜力的措施。
