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人工智能和机器学习在精准医学中的应用:大数据分析的范式转变。

Artificial intelligence and machine learning in precision medicine: A paradigm shift in big data analysis.

机构信息

Molecular Neuroscience and Functional Genomics Laboratory, Delhi Technological University (Formerly Delhi College of Engineering), Shahbad Daulatpur, Delhi, India.

Molecular Neuroscience and Functional Genomics Laboratory, Delhi Technological University (Formerly Delhi College of Engineering), Shahbad Daulatpur, Delhi, India.

出版信息

Prog Mol Biol Transl Sci. 2022;190(1):57-100. doi: 10.1016/bs.pmbts.2022.03.002. Epub 2022 Apr 8.


DOI:10.1016/bs.pmbts.2022.03.002
PMID:36008002
Abstract

The integration of artificial intelligence in precision medicine has revolutionized healthcare delivery. Precision medicine identifies the phenotype of particular patients with less-common responses to treatment. Recent studies have demonstrated that translational research exploring the convergence between artificial intelligence and precision medicine will help solve the most difficult challenges facing precision medicine. Here, we discuss different aspects of artificial intelligence in precision medicine that improve healthcare delivery. First, we discuss how artificial intelligence changes the landscape of precision medicine and the evolution of artificial intelligence in precision medicine. Second, we highlight the synergies between artificial intelligence and precision medicine and promises of artificial intelligence and precision medicine in healthcare delivery. Third, we briefly explain the promise of big data analytics and the integration of nanomaterials in precision medicine. Last, we highlight the challenges and opportunities of artificial intelligence in precision medicine.

摘要

人工智能在精准医学中的融合已经彻底改变了医疗服务的提供方式。精准医学确定了具有较少常见治疗反应的特定患者的表型。最近的研究表明,探索人工智能和精准医学之间融合的转化研究将有助于解决精准医学面临的最困难的挑战。在这里,我们讨论了人工智能在改善医疗服务方面的精准医学的不同方面。首先,我们讨论了人工智能如何改变精准医学的格局以及人工智能在精准医学中的演变。其次,我们强调了人工智能与精准医学之间的协同作用以及人工智能和精准医学在医疗服务中的承诺。第三,我们简要解释了大数据分析和精准医学中纳米材料整合的前景。最后,我们强调了人工智能在精准医学中的挑战和机遇。

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