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Nature Machine Intelligence
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2020, vol.2, no.1
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A shallow convolutional neural network predicts prognosis of lung cancer patients in multi-institutional computed tomography image datasets
Mukherjee, Pritam; Zhou, Mu; Lee, Edward; Schicht, Anne; Balagurunathan, Yoganand; Napel, Sandy; Gillies, Robert; Wong, Simon; Thieme, Alexander; Leung, Ann; Gevaert, Olivier
2020
2020, vol.2, no.5
An interpretable mortality prediction model for COVID-19 patients
Xiao, Ying; Cao, Haosen; Chen, Yanyan; Ren, Tongxin; Xiao, Yaru; Huang, Sufang; Tan, Xi; Huang, Niannian; Jiao, Bo; Cheng, Cheng; Zhang, Yong; Luo, Ailin; Mombaerts, Laurent; Jin, Junyang; Cao, Zhiguo; Li, Shusheng; Xu, Hui; Yuan, Ye; Wang, Fang; Yan, Li; Zhang, Hai-Tao; Goncalves, Jorge; Xiao, Yang; Wang, Maolin; Guo, Yuqi; Sun, Chuan; Tang, Xiuchuan; Jing, Liang; Zhang, Mingyang; Huang, Xiang
2020
2020, vol.2, no.5
Direct steering of de novo molecular generation with descriptor conditional recurrent neural networks
Kotsias, Panagiotis-Christos; Arus-Pous, Josep; Chen, Hongming; Engkvist, Ola; Tyrchan, Christian; Bjerrum, Esben Jannik
2020
2020, vol.2, no.5
Complex sequential understanding through the awareness of spatial and temporal concepts
Pang, Bo; Zha, Kaiwen; Cao, Hanwen; Tang, Jiajun; Yu, Minghui; Lu, Cewu
2020
2020, vol.2, no.5
Robot teams stay safe with blockchains
Reina, Andreagiovanni
2020
2020, vol.2, no.5
A match for virtual conferences
2020
2020, vol.2, no.5
Pandemic data challenges (vol 2, pg 193, 2020)
Rinaldi, B.
2020
2020, vol.2, no.5
Contributions from the Catholic Church to ethical reflections in the digital era
Sinibaldi, Edoardo; Gastmans, Chris; Yanez, Miguel; Lerner, Richard M.; Kovacs, Laszlo; Casalone, Carlo; Pegoraro, Renzo; Paglia, Vincenzo
2020
2020, vol.2, no.5
Improving healthcare operations management with machine learning
Pianykh, Oleg S.; Guitron, Steven; Parke, Darren; Zhang, Chengzhao; Pandharipande, Pari; Brink, James; Rosenthal, Daniel
2020
2020, vol.2, no.5
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