Apricity Health LLC Houston, TX, and Dell Medical School @ University of Texas Austin, Austin, TX, United States of America.
CancerLinQ LLC, American Society of Clinical Oncology, Alexandria, VA, United States of America.
Biochim Biophys Acta Rev Cancer. 2021 Aug;1876(1):188575. doi: 10.1016/j.bbcan.2021.188575. Epub 2021 May 29.
Recent technological advances continue to expand the universe of big data in biomedicine along the four axes of variety, veracity, volume, and velocity, fueling innovations in research and discovery while transforming care delivery. These advances allow quantitative capture of multimodal health, behavioral, social, and environmental data from n-of-all in near real-time to support the development of new therapies and personalization of treatment decisions for the n-of-one. Application of advanced analytical methods, including artificial intelligence and machine learning, to these modern data assets can greatly propel our understanding of health and disease, accelerating the development of safer and more effective anticancer therapies. In this perspective, we rationalize the creation of a universally accessible digital highway system as a foundational infrastructure to enable data fluidity in an equitable manner. An interoperable and integrated digital inter-state highway can facilitate efficient derivation of insights from biomedical big data to improve health outcomes and ensure that the U.S. remains at the leading-edge innovations in technology, advanced analytics, and precision medicine.
最近的技术进步继续沿着多样性、准确性、数量和速度这四个轴扩展生物医学领域的大数据领域，推动研究和发现的创新，同时改变医疗服务的提供方式。这些进步允许从 n-of-all 中以近乎实时的方式定量捕获多模态健康、行为、社会和环境数据，以支持新疗法的开发和 n-of-one 治疗决策的个性化。将高级分析方法（包括人工智能和机器学习）应用于这些现代数据资产，可以极大地促进我们对健康和疾病的理解，加速开发更安全、更有效的抗癌疗法。在这种观点下，我们将创建一个普遍可访问的数字高速公路系统作为基础架构，以公平的方式实现数据的流动性。一个具有互操作性和集成的数字州际高速公路可以促进从生物医学大数据中高效地获取见解，以改善健康结果，并确保美国在技术、高级分析和精准医学方面的创新处于领先地位。
