Ronald J. Wong

According to our database, Ronald J. Wong authored at least 6 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Author Correction: A machine learning approach to leveraging electronic health records for enhanced omics analysis.

Samson Mataraso, Camilo Espinosa, David Seong, S. Momsen Reincke, Eloïse Berson, Jonathan D. Reiss, Yeasul Kim, Marc Ghanem, Chi-Hung Shu, Tomin James, Yuqi Tan, Sayane Shome, Ina A. Stelzer, Dorien Feyaerts, Ronald J. Wong, Gary M. Shaw, Martin S. Angst, Brice Gaudilliere, David K. Stevenson, Nima Aghaeepour

Nat. Mac. Intell., 2025

A machine learning approach to leveraging electronic health records for enhanced omics analysis.

Samson Mataraso, Camilo Espinosa, David Seong, S. Momsen Reincke, Eloïse Berson, Jonathan D. Reiss, Yeasul Kim, Marc Ghanem, Chi-Hung Shu, Tomin James, Yuqi Tan, Sayane Shome, Ina A. Stelzer, Dorien Feyaerts, Ronald J. Wong, Gary M. Shaw, Martin S. Angst, Brice Gaudilliere, David K. Stevenson, Nima Aghaeepour

Nat. Mac. Intell., 2025

2024

Generating pregnant patient biological profiles by deconvoluting clinical records with electronic health record foundation models.

David Seong, Samson Mataraso, Camilo Espinosa, Eloïse Berson, S. Momsen Reincke, Lei Xue, Chloe Kashiwagi, Yeasul Kim, Chi-Hung Shu, Philip Chung, Marc Ghanem, Feng Xie, Ronald J. Wong, Martin S. Angst, Brice Gaudilliere, Gary M. Shaw, David K. Stevenson, Nima Aghaeepour

Briefings Bioinform., 2024

2023

Target-agnostic drug prediction integrated with medical record analysis uncovers differential associations of statins with increased survival in COVID-19 patients.

Megan M. Sperry, Tomiko Oskotsky, Ivana Maric, Shruti Kaushal, Takako Takeda, Viktor Horvath, Rani K. Powers, Melissa Rodas, Brooke Furlong, Mercy Soong, Pranav Prabhala, Girija Goyal, Kenneth E. Carlson, Ronald J. Wong, Idit Kosti, Brian L. Le, James Logue, Holly Hammond, Matthew Frieman, David K. Stevenson, Donald E. Ingber, Marina Sirota, Richard Novák

PLoS Comput. Biol., 2023

2022

Early prediction and longitudinal modeling of preeclampsia from multiomics.

Ivana Maric, Kévin Contrepois, Mira N. Moufarrej, Ina A. Stelzer, Dorien Feyaerts, Xiaoyuan Han, Andy Tang, Natalie Stanley, Ronald J. Wong, Gavin M. Traber, Mathew Ellenberger, Alan L. Chang, Ramin Fallahzadeh, Huda Nassar, Martin Becker, Maria Xenochristou, Camilo Espinosa, Davide De Francesco, Mohammad S. Ghaemi, Elizabeth K. Costello, Anthony Culos, Xuefeng Bruce Ling, Karl G. Sylvester, Gary L. Darmstadt, Virginia D. Winn, Gary M. Shaw, David A. Relman, Stephen R. Quake, Martin S. Angst, Michael P. Snyder, David K. Stevenson, Brice Gaudilliere, Nima Aghaeepour

Patterns, 2022

2019

Multiomics modeling of the immunome, transcriptome, microbiome, proteome and metabolome adaptations during human pregnancy.

Mohammad Sajjad Ghaemi, Daniel B. DiGiulio, Kévin Contrepois, Benjamin J. Callahan, Thuy T. M. Ngo, Brittany Lee-McMullen, Benoit Lehallier, Anna Robaczewska, David Mcilwain, Yael Rosenberg-Hasson, Ronald J. Wong, Cecele Quaintance, Anthony Culos, Natalie Stanley, Athena Tanada, Amy Tsai, Dyani Gaudilliere, Edward Ganio, Xiaoyuan Han, Kazuo Ando, Leslie McNeil, Martha Tingle, Paul H. Wise, Ivana Maric, Marina Sirota, Tony Wyss-Coray, Virginia D. Winn, Maurice L. Druzin, Ronald Gibbs, Gary L. Darmstadt, David B. Lewis, Vahid Partovi Nia, Bruno Agard, Robert Tibshirani, Garry P. Nolan, Michael P. Snyder, David A. Relman, Stephen R. Quake, Gary M. Shaw, David K. Stevenson, Martin S. Angst, Brice Gaudilliere, Nima Aghaeepour

Bioinform., 2019