Artificial intelligence research in the COVend COVID-19 clinical trial project

A. Värri, Antti Kallonen, Tunç Aşuroğlu, Mark van Gils
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Abstract

The COVend project aims at delivering a new effective therapy, FX06, against the SARS-CoV-2 virus infection for the management of the COVID-19 disease in hospitals. Nine of the 17 partners of the project consortium are hospitals responsible for collecting study subjects and administering the FX06 therapy to the patients. Although the clinical trial (IXION) has the main role in the project, the project has also a work package which develops and applies artificial intelligence (AI) methods to the data collected during the 28-day study period from the patients receiving the therapy. The AI work package applies exploratory data analysis methods to find patterns and profiles of the patients. Combined with the data about treatment methods and patient outcomes, the aim is to provide decision support for the therapy intervention in the later stage of the project.
COVID-19临床试验项目人工智能研究
COVend项目旨在提供一种新的有效疗法FX06,用于治疗SARS-CoV-2病毒感染,以在医院管理COVID-19疾病。项目联合体的17个合作伙伴中有9个是负责收集研究对象并对患者实施FX06治疗的医院。虽然临床试验(IXION)在项目中起主要作用,但该项目也有一个工作包,用于开发和应用人工智能(AI)方法来处理在28天的研究期间从接受治疗的患者那里收集的数据。人工智能工作包应用探索性数据分析方法来发现患者的模式和概况。结合治疗方法和患者结局数据,为项目后期的治疗干预提供决策支持。
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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