Cloud computing is gain popularity due to its cost-effective storage and computation. There are few studies on how to leverage cloud computing resources to facilitate healthcare research in a privacy preserving manner. This project proposes an advanced framework that combines rigorous privacy protection and encryption techniques to facilitate healthcare data sharing in the cloud environment. Comparing to traditional centralized data anonymization, we are facing major challenges such as lack of global knowledge and the difficulty to enforce consistency. We adopt differential privacy as our privacy criteria and will leverage homomorphic encryption and Yao's garbled circuit protocol to build secure yet scalable information exchange to overcome the barrier.

Public Health Relevance

Sustainability and privacy are critical concerns in handling large and growing healthcare data. New challenges emerge as new paradigms like cloud computing become popular for cost-effective storage and computation. This project will develop an advanced framework to combine rigorous privacy protection and encryption techniques to facilitate healthcare data sharing in the cloud environment.

National Institute of Health (NIH)
National Library of Medicine (NLM)
Exploratory/Developmental Grants (R21)
Project #
Application #
Study Section
Biomedical Library and Informatics Review Committee (BLR)
Program Officer
Sim, Hua-Chuan
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
University of California San Diego
Internal Medicine/Medicine
Schools of Medicine
La Jolla
United States
Zip Code
Wang, Lichang; Fang, Yong; Aref, Dima et al. (2016) PALME: PAtients Like My gEnome. AMIA Jt Summits Transl Sci Proc 2016:219-24
Wang, Shuang; Zhang, Yuchen; Dai, Wenrui et al. (2016) HEALER: homomorphic computation of ExAct Logistic rEgRession for secure rare disease variants analysis in GWAS. Bioinformatics 32:211-8
Huh, Jina; Marmor, Rebecca; Jiang, Xiaoqian (2016) Lessons Learned for Online Health Community Moderator Roles: A Mixed-Methods Study of Moderators Resigning From WebMD Communities. J Med Internet Res 18:e247
Wang, Shuang; Jiang, Xiaoqian; Singh, Siddharth et al. (2016) Genome privacy: challenges, technical approaches to mitigate risk, and ethical considerations in the United States. Ann N Y Acad Sci :
Farhan, Wael; Wang, Zhimu; Huang, Yingxiang et al. (2016) A Predictive Model for Medical Events Based on Contextual Embedding of Temporal Sequences. JMIR Med Inform 4:e39
Lin, Shengda; Yin, Yi A; Jiang, Xiaoqian et al. (2016) Multi-OMICs and Genome Editing Perspectives on Liver Cancer Signaling Networks. Biomed Res Int 2016:6186281
Tang, Haixu; Jiang, Xiaoqian; Wang, Xiaofeng et al. (2016) Protecting genomic data analytics in the cloud: state of the art and opportunities. BMC Med Genomics 9:63
Shi, Haoyi; Jiang, Chao; Dai, Wenrui et al. (2016) Secure Multi-pArty Computation Grid LOgistic REgression (SMAC-GLORE). BMC Med Inform Decis Mak 16 Suppl 3:89
Yang, Lei; Wang, Shuang; Jiang, Xiaoqian et al. (2016) PATTERN: Pain Assessment for paTients who can't TEll using Restricted Boltzmann machiNe. BMC Med Inform Decis Mak 16 Suppl 3:73
Dulai, Parambir S; Singh, Siddharth; Jiang, Xiaoqian et al. (2016) The Real-World Effectiveness and Safety of Vedolizumab for Moderate-Severe Crohn's Disease: Results From the US VICTORY Consortium. Am J Gastroenterol 111:1147-55

Showing the most recent 10 out of 27 publications