Emergence of New Disease: How Can Artificial Intelligence Help?

Yurim Park; Daniel Casey; Indra Joshi; Jiming Zhu; Feng Cheng

doi:10.1016/j.molmed.2020.04.007

Emergence of New Disease: How Can Artificial Intelligence Help?

Trends Mol Med. 2020 Jul;26(7):627-629. doi: 10.1016/j.molmed.2020.04.007. Epub 2020 May 3.

Authors

Yurim Park¹, Daniel Casey², Indra Joshi³, Jiming Zhu⁴, Feng Cheng⁵

Affiliations

¹ Radcliffe Department of Medicine, Medical Sciences Division, University of Oxford, Oxford, UK. Electronic address: yurim.park@st-hugh.ox.ac.uk.
² Innovation Faculty, Celltrion Healthcare, Slough, UK.
³ Digital Health and Artificial Intelligence Laboratory, National Health Service, London, UK.
⁴ Vanke School of Public Health and School of Medicine, Tsinghua University, Beijing, China; Institute for Hospital Management, Tsinghua Shenzhen International Graduate School, Shenzhen, China.
⁵ Vanke School of Public Health and School of Medicine, Tsinghua University, Beijing, China.

Abstract

Emergence of new disease remains a critical parameter in human health and society. Advances in artificial intelligence (AI) allow for rapid processing and analysis of massive and complex data. In this forum article, the recent applications across disease prediction and drug development in relation to the COVID-19 pandemic are reviewed.

Keywords: COVID-19; artificial Intelligence; machine learning.

Publication types

Review

MeSH terms

Artificial Intelligence*
Betacoronavirus / physiology
COVID-19
Communicable Diseases, Emerging / epidemiology*
Coronavirus Infections / epidemiology
Coronavirus Infections / virology
Humans
Machine Learning
Pandemics
Pneumonia, Viral / epidemiology
Pneumonia, Viral / virology
SARS-CoV-2