Can AI help in the fight against COVID-19?

Ian A Scott, David Cook, Enrico W Coiera, Brent Richards, Machine learning in clinical practice: prospects and pitfalls The Medical Journal of Australia. ,vol. 211, pp. 203- ,(2019) , 10.5694/MJA2.50294

Andrew W Senior, Richard Evans, John Jumper, James Kirkpatrick, Laurent Sifre, Tim Green, Chongli Qin, Augustin Žídek, Alexander WR Nelson, Alex Bridgland, Hugo Penedones, Stig Petersen, Karen Simonyan, Steve Crossan, Pushmeet Kohli, David T Jones, David Silver, Koray Kavukcuoglu, Demis Hassabis, None, Improved protein structure prediction using potentials from deep learning Nature. ,vol. 577, pp. 706- 710 ,(2020) , 10.1038/S41586-019-1923-7

Isaac I Bogoch, Alexander Watts, Andrea Thomas-Bachli, Carmen Huber, Moritz U G Kraemer, Kamran Khan, Pneumonia of unknown aetiology in Wuhan, China: potential for international spread via commercial air travel. Journal of Travel Medicine. ,vol. 27, ,(2020) , 10.1093/JTM/TAAA008

Bo Ram Beck, Bonggun Shin, Yoonjung Choi, Sungsoo Park, Keunsoo Kang, Predicting commercially available antiviral drugs that may act on the novel coronavirus (2019-nCoV), Wuhan, China through a drug-target interaction deep learning model bioRxiv. ,(2020) , 10.1101/2020.01.31.929547

Peter Richardson, Ivan Griffin, Catherine Tucker, Dan Smith, Olly Oechsle, Anne Phelan, Michael Rawling, Edward Savory, Justin Stebbing, Baricitinib as potential treatment for 2019-nCoV acute respiratory disease. The Lancet. ,vol. 395, ,(2020) , 10.1016/S0140-6736(20)30304-4

Xingzhi Xie, Zheng Zhong, Wei Zhao, Chao Zheng, Fei Wang, Jun Liu, Chest CT for Typical Coronavirus Disease 2019 (COVID-19) Pneumonia: Relationship to Negative RT-PCR Testing. Radiology. ,vol. 296, pp. 200343- 200343 ,(2020) , 10.1148/RADIOL.2020200343

Xiao-Ping Zhang, Guangtao Zhai, Qingli Li, Menghan Hu, Nan Yao, Yunlu Wang, Abnormal respiratory patterns classifier may contribute to large-scale screening of people infected with COVID-19 in an accurate and unobtrusive manner arXiv: Learning. ,(2020)

Hayden C. Metsky, Catherine A. Freije, Tinna-Solveig F. Kosoko-Thoroddsen, Pardis C. Sabeti, Cameron Myhrvold, CRISPR-based COVID-19 surveillance using a genomically-comprehensive machine learning approach bioRxiv. ,(2020) , 10.1101/2020.02.26.967026

Zaheer Allam, David S. Jones, On the Coronavirus (COVID-19) Outbreak and the Smart City Network: Universal Data Sharing Standards Coupled with Artificial Intelligence (AI) to Benefit Urban Health Monitoring and Management Healthcare. ,vol. 8, pp. 46- ,(2020) , 10.3390/HEALTHCARE8010046

Tao Ai, Zhenlu Yang, Hongyan Hou, Chenao Zhan, Chong Chen, Wenzhi Lv, Qian Tao, Ziyong Sun, Liming Xia, Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases. Radiology. ,vol. 296, pp. 200642- 200642 ,(2020) , 10.1148/RADIOL.2020200642