Elizabeth A. Shenkman

13 papers Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multi-site analysis of COVID-19 and new-onset diabetes reveals need for improved sensitivity of EHR-based COVID-19 phenotypes - a DiCAYA Network analysis.
J. Am. Medical Informatics Assoc.
Lorna E. Thorpe, Jasmin Divers, Annemarie Hirsch, Brian S. Schwartz, Bo Cai, Jihad S. Obeid, Angela Liese, Tessa Crume, Anna Bellatorre, Jiang Bian, Yi Guo, Sarah Bost, Tianchen Lyu, Matthew T. Mefford, Matt Zhou, Eva Lustigova, Levon H. Utidjian, Mitchell Maltenfort, Patrick Hanley, Meda E. Pavkov, Marc B. Rosenman, Andrea R. Titus, Charles Bailey, Christopher B. Forrest, Levon Utidjian, Mitch Maltenfort, Amy Shah, Eneida A. Mendonça, G. Todd Alonso, Sara J. Deakyne Davies, H. Timothy Bunnell, Anne Kazak, Melody Kitzmiller, Manmohan Kamboj, Dimitri A. Christakis, Daksha Ranade, Annemarie G. Hirsch, Joseph J. Dewalle, H. Lester Kirchner, Meredith Lewis, Dione G. Mercer, Cara M. Nordberg, Amy Poissant, Brian E. Dixon, Shaun J. Grannis, Katie S. Allen, Anna Roberts, Nimish Valvi, Jeff Warvel, Ashley Wiensch, Tamara S. Hannon, Kristi Reynolds, John Chang, Don McCarthy, Rong Wei, Hui Zhou, Marc Rosenman, Lu Zhang, George Lales, Anthony Wong, Allison Zelinski, Yuan Luo, Mark Weiner, Pedro Rivera, Thomas Carton, Elizabeth Nauman, Harold P. Lehmann, Meredith Akerman, Rebecca Anthopolos, Stefanie Bendik, Sarah Conderino, Andrew Fair, Jessica Guillaume, Shahidul Islam, Alan Jacobson, David C. Lee, Chinyere Okpara, Anand Rajan, Andrea Titus, Dana Dabelea, Theresa Anderson, Rebecca Conway, Toan Ong, Jack Pattee, Shawna Burgett, Hui Shao, Elizabeth A. Shenkman, Sarah J. Bost, William T. Donahoo, William R. Hogan, Piaopiao Li, Mattia Prosperi, Yonghui Wu, Angela D. Liese, Lisa Knight, Caroline Rudisill, Jessica Stucker, Deborah Bowlby, Elaine Apperson, Alex Ewing, Giuseppina Imperatore, Deborah Rolka, Hui Xie, Ibrahim Zaganjor
2025 — conf
Machine Learning Prediction of Autism Spectrum Disorder Diagnosis Through Linking Mothers' and Children's Electronic Health Records.
ICHI
Yongqiu Li, Yu Huang, Shuang Yang, Elahe M. Shychuk, Elizabeth A. Shenkman, Jiang Bian, Amber M. Angell, Yi Guo
2024 J jnl
Evaluating site-of-care-related racial disparities in kidney graft failure using a novel federated learning framework.
J. Am. Medical Informatics Assoc.
Jiayi Tong, Yishan Shen, Alice Xu, Xing He, Chongliang Luo, Mackenzie J. Edmondson, Dazheng Zhang, Yiwen Lu, Chao Yan, Ruowang Li, Lianne Siegel, Lichao Sun, Elizabeth A. Shenkman, Sally C. Morton, Bradley A. Malin, Jiang Bian, David A. Asch, Yong Chen
2024 J jnl
Exploring the Relation between Contextual Social Determinants of Health and COVID-19 Occurrence and Hospitalization.
Informatics
Aokun Chen, Yunpeng Zhao, Yi Zheng, Hui Hu, Xia Hu, Jennifer N. Fishe, William R. Hogan, Elizabeth A. Shenkman, Yi Guo, Jiang Bian
2023 J jnl
A study of generative large language model for medical research and healthcare.
npj Digit. Medicine
Cheng Peng, Xi Yang, Aokun Chen, Kaleb E. Smith, Nima M. Pournejatian, Anthony B. Costa, Cheryl Martin, Mona G. Flores, Ying Zhang, Tanja Magoc, Gloria P. Lipori, Duane A. Mitchell, Naykky Singh Ospina, Mustafa M. Ahmed, William R. Hogan, Elizabeth A. Shenkman, Yi Guo, Jiang Bian, Yonghui Wu
2023 J jnl
Developing A Fair Individualized Polysocial Risk Score (iPsRS) for Identifying Increased Social Risk of Hospitalizations in Patients with Type 2 Diabetes (T2D).
CoRR
Yu Huang, Jingchuan Guo, William T. Donahoo, Zhengkang Fan, Ying Lu, Wei-Han William Chen, Huilin Tang, Lori Bilello, Elizabeth A. Shenkman, Jiang Bian
2023 J jnl
The role of health system penetration rate in estimating the prevalence of type 1 diabetes in children and adolescents using electronic health records.
J. Am. Medical Informatics Assoc.
Piaopiao Li, Tianchen Lyu, Khalid Alkhuzam, Eliot Spector, William T. Donahoo, Sarah Bost, Yonghui Wu, William R. Hogan, Mattia Prosperi, Desmond A. Schatz, Mark A. Atkinson, Michael J. Haller, Elizabeth A. Shenkman, Yi Guo, Jiang Bian, Hui Shao
2022 J jnl
A large language model for electronic health records.
npj Digit. Medicine
Xi Yang, Aokun Chen, Nima M. Pournejatian, Hoo Chang Shin, Kaleb E. Smith, Christopher Parisien, Colin Compas, Cheryl Martin, Anthony B. Costa, Mona G. Flores, Ying Zhang, Tanja Magoc, Christopher A. Harle, Gloria P. Lipori, Duane A. Mitchell, William R. Hogan, Elizabeth A. Shenkman, Jiang Bian, Yonghui Wu
2022 J jnl
GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records.
CoRR
Xi Yang, Nima M. Pournejatian, Hoo Chang Shin, Kaleb E. Smith, Christopher Parisien, Colin Compas, Cheryl Martin, Mona G. Flores, Ying Zhang, Tanja Magoc, Christopher A. Harle, Gloria P. Lipori, Duane A. Mitchell, William R. Hogan, Elizabeth A. Shenkman, Jiang Bian, Yonghui Wu
2022 J jnl
The OneFlorida Data Trust: a centralized, translational research data infrastructure of statewide scope.
J. Am. Medical Informatics Assoc.
William R. Hogan, Elizabeth A. Shenkman, Temple Robinson, Olveen Carasquillo, Patricia S. Robinson, Rebecca Z. Essner, Jiang Bian, Gigi Lipori, Christopher A. Harle, Tanja Magoc, Lizabeth Manini, Tona Mendoza, Sonya White, Alex Loiacono, Jackie Hall, Dave Nelson
2021 J jnl
Exploring the feasibility of using real-world data from a large clinical data research network to simulate clinical trials of Alzheimer's disease.
npj Digit. Medicine
Zhaoyi Chen, Hansi Zhang, Yi Guo, Thomas J. George, Mattia Prosperi, William R. Hogan, Zhe He, Elizabeth A. Shenkman, Fei Wang, Jiang Bian
2020 J jnl
Assessing the practice of data quality evaluation in a national clinical data research network through a systematic scoping review in the era of real-world data.
J. Am. Medical Informatics Assoc.
Jiang Bian, Tianchen Lyu, Alexander T. Loiacono, Tonatiuh Mendoza Viramontes, Gloria P. Lipori, Yi Guo, Yonghui Wu, Mattia Prosperi, Thomas J. George, Christopher A. Harle, Elizabeth A. Shenkman, William R. Hogan
2017 — conf
Data integration through ontology-based data access to support integrative data analysis: A case study of cancer survival.
BIBM
Hansi Zhang, Yi Guo, Qian Li, Thomas J. George, Elizabeth A. Shenkman, Jiang Bian

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.