1.    Bridewell W, Das AK. Social network analysis of physician interactions: the effect of institutional boundaries on breast cancer care. American Medical Informatics Association Annual Symposium Proceedings 2011:152-60.

2.    Lee WN, Bridewell W, Das AK. Alignment and clustering of breast cancer patients by longitudinal treatment history. American Medical Informatics Association Annual Symposium Proceedings 2011:760-7.

3.    Weber SC, Lowe H, Das A, Ferris T. A simple heuristic for blindfolded record linkage. Journal of the American Medical Informatics Association 2012 Jun;19(e1):e157-61.

4.    Weber SC, Seto T, Olson C, Kenkare P, Kurian AW, Das AK. Oncoshare: Lessons learned from building an integrated multi-institutional database for comparative effectiveness research.  American Medical Informatics Association Annual Symposium Proceedings 2012:970-8.

5.    Kurian AW, Mitani MS, Desai M, Yu PY, Seto T, Weber SC, Olson C, Kenkare P, Gomez SL, de Bruin MA, Horst K, Belkora J, May SG, Frosch DL, Blayney DW, Luft HS, Das AK. Breast cancer treatment across healthcare systems: linking electronic medical records and state registry data to enable outcomes research. Cancer 2014 Jan 1;120(1):103-11. doi: 10.1002/cncr.28395.

6.    Halley MC, May SG, Rendle KA, Frosch DL, Kurian AW. Beyond barriers: fundamental disconnects underlying the treatment of breast cancer patients’ sexual health. Culture, Health and Sexuality 2014;16(9):1169-80. doi: 10.1080/13691058.2014.939227.

7.    Thompson CA, Kurian AW, Luft HS. Linking electronic health records to better understand breast cancer patient pathways within and between two health systems. eGEMs (Generating Evidence & Methods to improve patient outcomes): 2015; volume 3: issue 1, article 5. DOI:

8.    Mitani AA, Kurian AW, Das AK, Desai M. Navigating choices when applying multiple imputation in the presence of multi-level categorical interaction effects. Statistical Methodology 2015; 27: 82-99.

9.    Afghahi A, Forgo E, Mitani A, Desai M, Varma S, Seto T, Jensen KC, Troxell M, Gomez SL, Das AK, Beck AH, Kurian AW*, West RB*. Chromosomal copy number alterations for risk assessment of ductal carcinoma in situ. *Co-senior authors. Breast Cancer Research 2015 Aug 13;17:108. doi: 10.1186/s13058-015-0623-y.

10.  Afghahi A, Mathur M, Mitani A, Desai M, Yu PP, de Bruin MA, Seto T, Olsen C, Kenkare P, Gomez SL, Das AK, Luft HS, Thompson C, Sledge G, Sing AP, Kurian AW. Use and impact of gene expression profiling in early-stage breast cancer: a study of linked electronic medical record, cancer registry and genomic data across two healthcare systems. Journal of Oncology Practice 2016 Jun;12(6):e697-709. doi: 10.1200/JOP.2015.009803.

11.  Low YS, Daugherty AC, Schroeder EA, Chen W, Seto T, Weber S, Lim M, Hastie T, Mathur M, Desai M, Farrington C, Radin A, Sirota M, Kenkare P, Thompson CA, Yu PP, Gomez SL, Sledge GW, Kurian AW, Shah NH. Synergistic drug combinations from electronic health records and gene expression. Journal of the American Medical Informatics Association (JAMIA) 2017 May 1;24(3):565-576. doi: 10.1093/jamia/ocw161.

12.  Afghahi A, Purington N, Han S, Desai M, Rigdon J, Pierson E, Mathur MB, Thompson CA, Telli ML, Badve S, Curtis CN, West RB, Horst K, Gomez SL, Ford JM, Das AK, Sledge GW, Kurian AW. Higher absolute lymphocyte counts predict lower mortality from early-stage triple-negative breast cancer. Clinical Cancer Research 2018 Jun 15;24(12):2851-2858. doi: 10.1158/1078-0432.CCR-17-1323.

13.  Rafat M, Aguilera TA, Vilalta M, Bronsart LL, von Eyben R, Golla MA, Afghahi A, Jenkins MJ, Kurian AW, Horst KC, Giaccia AJ, Graves EE. Macrophages promote circulating tumor cell-mediated local recurrence following radiation therapy in immunosuppressed patients. Cancer Research 2018 Aug 1;78(15):4241-4252. doi: 10.1158/0008-5472.CAN-17-3623.

14.  Seneviratne M, Bozkurt S, Patel MI, Seto T, Brooks JD, Blayney DM, Kurian AW, Hernandez-Boussard T. Distribution of global health measures from routinely-collected PROMIS surveys in patients with breast cancer or prostate cancer. Cancer 2019 Mar 15;125(6):943-951. doi: 10.1002/cncr.31895.

15.  Banerjee I, Bozkurt S, Alkim E, Sagreiya H, Kurian AW, Rubin DL. Automatic inference of BI-RADS final assessment categories from narrative mammography report findings. Journal of Biomedical Informatics 2019 Apr;92:103137. doi: 10.1016/j.jbi.2019.103137.

16.  Lin CY, Vennam S, Purington N, Han S. Desai M, Seto T, Lin E, Varma S, Troxell M, Kurian AW, West RB. Genomic landscape of ductal carcinoma in situ and association with progression. Breast Cancer Research and Treatment 2019 Aug 17. doi: 10.1007/s10549-019-05401-x.

17.  Ling A, Kurian AW, Caswell-Jin JL, Sledge GW, Shah NH, Tamang S. A semi-supervised machine learning approach to detecting recurrent metastatic breast cancer cases using linked cancer registry and electronic medical record data. Journal of the American Medical Informatics Association Open 2019, ooz040,

18.  Banerjee I, Bozkurt S, Caswell-Jin JL, Kurian AW*, Rubin DL*. Natural language processing approaches to detect the timeline of metastatic breast cancer recurrence. *Co-senior authors. JCO Clinical Informatics 2019 Oct;3:1-12. doi: 10.1200/CCI.19.00034.

Funding Sources

Work described in these publications was supported by one or more of the following sponsors:

•• Susan and Richard Levy Gift Fund

•• Suzanne Pride Bryan Fund for Breast Cancer Research

•• Breast Cancer Research Foundation

•• California Breast Cancer Research Program Grants 16OB-0149 and 19IB-0124

•• Stanford University Developmental Research Fund

•• Contract No. HHSN261201000140C from the National Cancer Institute’s Surveillance, Epidemiology, and End Results (SEER) program to the Cancer Prevention Institute of California

• Clinical and Translational Science Award No. UL1 RR025744a to Stanford University from the National Institutes of Health