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Nature Machine Intelligence
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2020, vol.2, no.1
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Machine Learning for COVID-19 needs global collaboration and data-sharing
Peiffer-Smadja, Nathan; Maatoug, Redwan; Lescure, Francois-Xavier; D'Ortenzio, Eric; Pineau, Joelle; King, Jean-Remi
2020
2020, vol.2, no.6
The challenges of deploying artificial intelligence models in a rapidly evolving pandemic
Hu, Yipeng; Jacob, Joseph; Parker, Geoffrey J. M.; Hawkes, David J.; Hurst, John R.; Stoyanov, Danail
2020
2020, vol.2, no.6
Tracking the debate on COVID-19 surveillance tools
Sweeney, Yann; Edwards, Lilian; Vayena, Effy; Dignum, Virginia; Dignum, Frank; Murakami-Wood, David
2020
2020, vol.2, no.6
Artificial intelligence cooperation to support the global response to COVID-19
Luengo-Oroz, Miguel; Hoffmann Pham, Katherine; Bullock, Joseph; Kirkpatrick, Robert; Luccioni, Alexandra; Rubel, Sasha; Wachholz, Cedric; Chakchouk, Moez; Biggs, Phillippa; Nguyen, Tim; Purnat, Tina; Mariano, Bernardo
2020
2020, vol.2, no.6
Secure, privacy-preserving and federated machine learning in medical imaging
Kaissis, Georgios A.; Makowski, Marcus R.; Ruckert, Daniel; Braren, Rickmer F.
2020
2020, vol.2, no.6
Augmenting vascular disease diagnosis by vasculature-aware unsupervised learning
Wang, Yong; Ji, Mengqi; Jiang, Shengwei; Wang, Xukang; Wu, Jiamin; Duan, Feng; Fan, Jingtao; Huang, Laiqiang; Ma, Shaohua; Fang, Lu; Dai, Qionghai
2020
2020, vol.2, no.6
Predicting tumour mutational burden from histopathological images using multiscale deep learning
Jain, Mika S.; Massoud, Tarik F.
2020
2020, vol.2, no.6
Finding a role for AI in the pandemic
2020
2020, vol.2, no.6
Finding key players in complex networks through deep reinforcement learning
Fan, Changjun; Zeng, Li; Sun, Yizhou; Liu, Yang-Yu
2020
2020, vol.2, no.6
Deep learning incorporating biologically inspired neural dynamics and in-memory computing
Wozniak, Stanislaw; Pantazi, Angeliki; Bohnstingl, Thomas; Eleftheriou, Evangelos
2020
2020, vol.2, no.6
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