Transforming medical sciences with high-performance computing, high-performance data analytics and AI

被引：5
|
作者：
Lewandowski, Natalie [1 ]
Koller, Bastian [1 ]
机构：
[1] High Performance Comp Ctr Stuttgart HLRS, Stuttgart, Germany
来源：
TECHNOLOGY AND HEALTH CARE | 2023年 / 31卷 / 04期
基金：
欧盟地平线“2020”;
关键词：
Computer simulation; big data; image processing; computer-assisted diagnosis; drug development; computer-assisted decision making; precision medicine;
D O I：
10.3233/THC-237000
中图分类号：
R19 [保健组织与事业（卫生事业管理）];
学科分类号：
摘要：
The advance of high-performance computing (HPC), high-performance data analytics (HPDA) and AI and their synergetic integration into workflows has revolutionized numerous industries, amongst others the medical and pharmaceutical sectors. In this special section of Technology and Health Care, we delve into the remarkable advancements and potential of HPC, HPDA and AI (together termed HPC+) in driving innovation, improving patient outcomes, and accelerating drug discovery. The articles in this issue shed light onto the potential of HPC+ in addressing several critical areas, including medical imaging, personalized medicine, drug discovery, and clinical as well as political decision support.
引用
收藏
页码：1505 / 1507
页数：3
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