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Patterns (New York, N.Y.)|August 2, 2021
Data analytics to evaluate the impact of infectious disease on economy: Case study of COVID-19 pandemicMeleik Hyman, Calvin Mark, Ahmed Imteaj, et al.
Patterns (New York, N.Y.)|June 27, 2022
Systematic indication extension for drugs using patient stratification insights generated by combinatorial analyticsSayoni Das, Krystyna Taylor, Simon Beaulah, et al.
Patterns (New York, N.Y.)|June 27, 2022
Patient and public involvement to build trust in artificial intelligence: A framework, tools, and case studiesSoumya Banerjee, Phil Alsop, Linda Jones, et al.
Patterns (New York, N.Y.)|June 27, 2022
Federated learning of molecular properties with graph neural networks in a heterogeneous settingWei Zhu, Jiebo Luo, Andrew D White
Patterns (New York, N.Y.)|November 24, 2022
Modern views of machine learning for precision psychiatryZhe Sage Chen, Prathamesh Param Kulkarni, Isaac R Galatzer-Levy, et al.
Patterns (New York, N.Y.)|November 24, 2022
What can data science tell us about finding new superconductors?Turab Lookman, Alejandro Lopez-Bezanilla
Patterns (New York, N.Y.)|November 24, 2022
Upper limit of the transition temperature of superconducting materialsYang Liu, Haiyou Huang, Jie Yuan, et al.
Patterns (New York, N.Y.)|November 24, 2022
Obligations to assess: Recent trends in AI accountability regulationsSerena Oduro, Emanuel Moss, Jacob Metcalf
Patterns (New York, N.Y.)|December 26, 2022
Integrating supercomputing and artificial intelligence for life scienceJiahua Rao, Shuangjia Zheng, Yuedong Yang
Patterns (New York, N.Y.)|December 26, 2022
Don't lose samples to estimationIoannis Tsamardinos
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