The impact and future of artificial intelligence in medical genetics and molecular medicine: an ongoing revolution

IF 3.9 4区 生物学 Q1 GENETICS & HEREDITY
Firat Ozcelik, Mehmet Sait Dundar, A. Baki Yildirim, Gary Henehan, Oscar Vicente, José A. Sánchez-Alcázar, Nuriye Gokce, Duygu T. Yildirim, Nurdeniz Nalbant Bingol, Dijana Plaseska Karanfilska, Matteo Bertelli, Lejla Pojskic, Mehmet Ercan, Miklos Kellermayer, Izem Olcay Sahin, Ole K. Greiner-Tollersrud, Busra Tan, Donald Martin, Robert Marks, Satya Prakash, Mustafa Yakubi, Tommaso Beccari, Ratnesh Lal, Sehime G. Temel, Isabelle Fournier, M. Cerkez Ergoren, Adam Mechler, Michel Salzet, Michele Maffia, Dancho Danalev, Qun Sun, Lembit Nei, Daumantas Matulis, Dana Tapaloaga, Andres Janecke, James Bown, Karla Santa Cruz, Iza Radecka, Celal Ozturk, Ozkan Ufuk Nalbantoglu, Sebnem Ozemri Sag, Kisung Ko, Reynir Arngrimsson, Isabel Belo, Hilal Akalin, Munis Dundar
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引用次数: 0

Abstract

Artificial intelligence (AI) platforms have emerged as pivotal tools in genetics and molecular medicine, as in many other fields. The growth in patient data, identification of new diseases and phenotypes, discovery of new intracellular pathways, availability of greater sets of omics data, and the need to continuously analyse them have led to the development of new AI platforms. AI continues to weave its way into the fabric of genetics with the potential to unlock new discoveries and enhance patient care. This technology is setting the stage for breakthroughs across various domains, including dysmorphology, rare hereditary diseases, cancers, clinical microbiomics, the investigation of zoonotic diseases, omics studies in all medical disciplines. AI’s role in facilitating a deeper understanding of these areas heralds a new era of personalised medicine, where treatments and diagnoses are tailored to the individual’s molecular features, offering a more precise approach to combating genetic or acquired disorders. The significance of these AI platforms is growing as they assist healthcare professionals in the diagnostic and treatment processes, marking a pivotal shift towards more informed, efficient, and effective medical practice. In this review, we will explore the range of AI tools available and show how they have become vital in various sectors of genomic research supporting clinical decisions.

Abstract Image

人工智能在医学遗传学和分子医学中的影响和未来:一场正在进行的革命。
与许多其他领域一样,人工智能(AI)平台已成为遗传学和分子医学领域的关键工具。患者数据的增长、新疾病和表型的识别、新细胞内通路的发现、更多的全息数据集的可用性以及对这些数据进行持续分析的需求,都促进了新人工智能平台的发展。人工智能将继续融入遗传学的结构中,并有可能带来新的发现,加强对患者的护理。这项技术正在为各个领域的突破创造条件,包括畸形学、罕见遗传病、癌症、临床微生物组学、人畜共患病调查、所有医学学科的全微观研究。人工智能在促进深入了解这些领域方面所发挥的作用预示着个性化医疗的新时代即将到来,在这个时代,治疗和诊断将根据个人的分子特征量身定制,为防治遗传性或后天性疾病提供更精确的方法。这些人工智能平台在协助医疗保健专业人员进行诊断和治疗的过程中发挥着越来越重要的作用,标志着向更加知情、高效和有效的医疗实践的关键转变。在这篇综述中,我们将探讨一系列可用的人工智能工具,并展示它们是如何在支持临床决策的基因组研究的各个领域发挥重要作用的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.50
自引率
3.40%
发文量
92
审稿时长
2 months
期刊介绍: Functional & Integrative Genomics is devoted to large-scale studies of genomes and their functions, including systems analyses of biological processes. The journal will provide the research community an integrated platform where researchers can share, review and discuss their findings on important biological questions that will ultimately enable us to answer the fundamental question: How do genomes work?
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