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Author Correction: A machine learning approach to leveraging electronic health records for enhanced omics analysis. - Mataraso, Samson; Espinosa, Camilo; Seong, David; Reincke, S. Momsen; Berson, Eloïse; Reiss, Jonathan D.; Kim, Yeasul; Ghanem, Marc; Shu, Chi-Hung; James, Tomin; Tan, Yuqi; Shome, Sayane; et al. (Nat. Mac. Intell., 2025)

Generating pregnant patient biological profiles by deconvoluting clinical records with electronic health record foundation models. - Seong, David; Mataraso, Samson; Espinosa, Camilo; Berson, Eloïse; Reincke, S. Momsen; Xue, Lei; Kashiwagi, Chloe; Kim, Yeasul; Shu, Chi-Hung; Chung, Philip; Ghanem, Marc; Xie, Feng; et al. (Briefings Bioinform., 2024)

Large-scale correlation network construction for unraveling the coordination of complex biological systems. - Becker, Martin; Nassar, Huda; Espinosa, Camilo; Stelzer, Ina A.; Feyaerts, Dorien; Berson, Eloïse; Bidoki, Neda Hajiakhoond; Chang, Alan L.; Saarunya, Geetha; Culos, Anthony; Francesco, Davide De; Fallahzadeh, Ramin; et al. (Nat. Comput. Sci., 2023)

Deep representation learning identifies associations between physical activity and sleep patterns during pregnancy and prematurity. - Ravindra, Neal G.; Espinosa, Camilo; Berson, Eloïse; Phongpreecha, Thanaphong; Zhao, Peinan; Becker, Martin; Chang, Alan L.; Shome, Sayane; Maric, Ivana; Francesco, Davide De; Mataraso, Samson; Saarunya, Geetha; et al. (npj Digit. Medicine, 2023)

Target-agnostic drug prediction integrated with medical record analysis uncovers differential associations of statins with increased survival in COVID-19 patients. - Sperry, Megan M.; Oskotsky, Tomiko; Maric, Ivana; Kaushal, Shruti; Takeda, Takako; Horvath, Viktor; Powers, Rani K.; Rodas, Melissa; Furlong, Brooke; Soong, Mercy; Prabhala, Pranav; Goyal, Girija; et al. (PLoS Comput. Biol., 2023)

Early prediction and longitudinal modeling of preeclampsia from multiomics. - Maric, Ivana; Contrepois, Kévin; Moufarrej, Mira N.; Stelzer, Ina A.; Feyaerts, Dorien; Han, Xiaoyuan; Tang, Andy; Stanley, Natalie; Wong, Ronald J.; Traber, Gavin M.; Ellenberger, Mathew; Chang, Alan L.; et al. (Patterns, 2022)

Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions. - Culos, Anthony; Tsai, Amy; Stanley, Natalie; Becker, Martin; Ghaemi, Mohammad Sajjad; Mcilwain, David; Fallahzadeh, Ramin; Tanada, Athena; Nassar, Huda; Espinosa, Camilo; Xenochristou, Maria; Ganio, Edward; et al. (Nat. Mach. Intell., 2020)

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