精准医学和医疗保健的第四种科学发现范式:未来的挑战

IF 5.1 4区医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL

Precision Clinical Medicine Pub Date : 2021-04-16 DOI:10.1093/pcmedi/pbab007

Li Shen, Jinwei Bai, Jiao Wang, Bairong Shen

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引用次数: 15

摘要

随着新一代测序(NGS)、基于万物互联(IoE)的智能传感器和人工智能算法等现代信息技术的发展，数据密集型研究和应用正在成为科学发现的第四种范式。然而，这一模式的实际应用面临着许多挑战。本文总结了精准医学和医疗保健中数据密集型发现和应用面临的10个挑战，并讨论了下一代医学的未来前景。

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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The fourth scientific discovery paradigm for precision medicine and healthcare: Challenges ahead

Abstract With the progression of modern information techniques, such as next generation sequencing (NGS), Internet of Everything (IoE) based smart sensors, and artificial intelligence algorithms, data-intensive research and applications are emerging as the fourth paradigm for scientific discovery. However, we face many challenges to practical application of this paradigm. In this article, 10 challenges to data-intensive discovery and applications in precision medicine and healthcare are summarized and the future perspectives on next generation medicine are discussed.

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来源期刊

Precision Clinical Medicine MEDICINE, RESEARCH & EXPERIMENTAL-

CiteScore

10.80

自引率

0.00%

发文量

审稿时长

5 weeks

期刊介绍： Precision Clinical Medicine (PCM) is an international, peer-reviewed, open access journal that provides timely publication of original research articles, case reports, reviews, editorials, and perspectives across the spectrum of precision medicine. The journal's mission is to deliver new theories, methods, and evidence that enhance disease diagnosis, treatment, prevention, and prognosis, thereby establishing a vital communication platform for clinicians and researchers that has the potential to transform medical practice. PCM encompasses all facets of precision medicine, which involves personalized approaches to diagnosis, treatment, and prevention, tailored to individual patients or patient subgroups based on their unique genetic, phenotypic, or psychosocial profiles. The clinical conditions addressed by the journal include a wide range of areas such as cancer, infectious diseases, inherited diseases, complex diseases, and rare diseases.