AI & COVID-19

Author:

Bacciu Davide1,Girardi Emanuela2,Maratea Marco3,Sousa Jose4

Affiliation:

1. University of Pisa, Italy

2. Pop AI, Turin, Italy

3. University of Genova, Italy

4. SANO-Centre for Computational Medicine, Krakow, Poland

Abstract

The COVID-19 pandemic has influenced our lives significantly since March 2020, and a number of initiatives have been put forward in order to tackle its effects, including those focused on technological solutions. In this paper, we present one of such initiatives, i.e. the CLAIRE’s taskforce on AI and COVID-19, in which Artificial Intelligence methodologies and tools are being developed to help the society contrasting the pandemic. We present the different lines of development within the taskforce, some fields in which they are used, and draw few recommendations.

Publisher

IOS Press

Subject

Artificial Intelligence

Reference47 articles.

1. Project IDentif.AI: Harnessing artificial intelligence to rapidly optimize combination therapy development for infectious disease intervention;Abdulla;Advanced Therapeutics,2020

2. Self-Building Artificial Intelligence and Machine Learning to Empower Big Data Analytics in Smart Cities

3. Machine learning approaches in covid-19 diagnosis, mortality, and severity risk prediction: A review;Alballa;Informatics in Medicine Unlocked,1005

4. Alsdurf H. , Belliveau E. , Bengio Y. , Deleu T. , Gupta P. , Ippolito D. , Janda R. , Jarvie M. , Kolody T. , Krastev S. , Maharaj T. , Obryk R. , Pilat D. , Pisano V. , Prud’homme B. , Qu M. , Rahaman N. , Rish I. , Rousseau J.-F. , Sharma A. , Struck B. , Tang J. , Weiss M. and Yu Y.W. , COVI White Paper, arXiv (2020).

5. Alviano M. , Dodaro C. and Maratea M. , An advanced answer set programming encoding for nurse scheduling, In Floriana Esposito, Roberto Basili, Stefano Ferilli, and Francesca A. Lisi, editors, Advances in Artificial Intelligence -Proceedings of the 16th International Conference of the Italian Association for Artificial Intelligence (AI*IA 2017), volume 10640 of Lecture Notes in Computer Science, pages 468–482. Springer, (2017).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3