Welcome

DBMI was founded in the summer of 2009; since then, it has been a Division within the Department of Medicine in the School of Medicine and, in 2015, it also became a Department of UC San Diego Health -- having the tri-partite mission of research, training, and service/collaboration. DBMI designs, implements, and evaluates informatics algorithms and systems that serve biomedical researchers, other healthcare providers, and public health professionals.
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Featured Classes - Fall 2020

Principles of Biomedical Informatics (MED264)
Current Trends in Biomedical Informatics (MED262)
Cancer Genomics Journal Club (MED278)

Featured Projects

COVID-19 Data Index, covid19dataindex.org, collects and indexes all types of COVID-19 datasets from major data repositories, publications, and individual online sources.
Strong Heart Study - iDASH, NHBLI
Accrual to Clinical Trials CTSA , NIH
Patient-Centered Scalable National Network for Effectiveness Research pSCANNER, PCORI
University of California Research exchange UC-ReX, UCOP
Protection of Records: Privacy Technology for Medical Research PREP, NLM
Informed CONsent for Clinical data and biosample Use in Research iCONCUR, NIH
California Precision Medicine Consortium CaPMC, NIH

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DBMI Newsletters

Read our archived newsletters here.

Featured Papers

Matthews, B, Fredrickson, M, El-Kareh, R Structured case reviews for organizational learning about diagnostic vulnerabilities: initial experiences from two medical centers.
Diagnosis (Berl)
2020 Jan 28;7(1):27-35. doi: 10.1515/dx-2019-0032.
Bonomi, L., Huang, Y. & Ohno-Machado, L. Privacy challenges and research opportunities for genomic data sharing. Nat Genet 52, 646–654 (2020).
Reeves J, Hollandsworth H, Longhurst, CA Rapid response to COVID-19: health informatics support for outbreak management in an academic health system. 2020 Jun 1;27(6):853-859. doi: 10.1093/jamia/ocaa037.
Shashikumar, S, Paul, P, Nemati, S Development and Prospective Validation of a Transparent Deep Learning Algorithm for Predicting Need for Mechanical Ventilation. 2020 Jun 3;2020.05.30.20118109. doi: 10.1101/2020.05.30.20118109. Preprint
Bonomi, L., Huang, Y. & Ohno-Machado, L. Privacy challenges and research opportunities for genomic data sharing. Nat Genet 52, 646–654 (2020).
Kuo T, Gabriel R, Cidambi K, Ohno-Machado, L, EXpectation Propagation LOgistic REgRession on permissioned blockCHAIN (ExplorerChain): decentralized online healthcare/genomics predictive model learning. Journal of the American Medical Informatics Association, Volume 27, Issue 5, May 2020, Pages 747–756
Tully J, Dameff C, Longhurst CA. Wave of Wearables: Clinical Management of Patients and the Future of Connected Medicine. Clin Lab Med. 2020 Mar;40(1):69-82. doi: 10.1016/j.cll.2019.11.004. Epub 2020 Jan 7. Review. PMID: 32008641 [PubMed - in process].
Dow, M., Pyke, R. M., Tsui, B. Y., Alexandrov, L. B., Nakagawa, H., Taniguchi, K., … Font-Burgada, J. Integrative genomic analysis of mouse and human hepatocellular carcinoma. Proceedings of the National Academy of Sciences. 2018. doi: 10.1073/pnas.1811029115
Kim J, Kim H, Bell E, Bath T, Paul P, Pham A, Jiang X, Zheng K, Ohno-Machado L. Patient Perspectives About Decisions to Share Medical Data and Biospecimens for Research. JAMA Netw Open. 2019 Aug 2;2(8):e199550. doi: 10.1001/jamanetworkopen.2019.9550.

Featured News & Events

Ohno-Machado L, Xu H. Coronavirus: indexed data speed up solutions. Nature 584, 192 (2020)

DBMI Summer Internship Program
June 22 - August 14, 2020

Congratulations to Michelle Dow for being awarded her PhD, June 2020.

Congratulations to Margaret Donovan for being awarded her PhD, December 2019

DBMI turned 10!
Learn more about our 10-year Symposium
Surfing on Biomedical Data Since '09. Watch the recording HERE.

Congratulations to Dr. Ohno-Machado!
For being elected as one of the National Academy of Medicine's 85 new members -- one of the highest honors one can receive in science.

AND for receiving the 2019 AMIA William W. Stead Award for Thought Leadership in Informatics.

Please find our full calendar here.

Featured Research

We are delighted to announce our partnership with the All of Us Research Program. The mission is simple. We want to speed up health research breakthroughs. To do this, we're asking one million people to share information about their health, habits, and what it's like where they live. By looking for patterns in this information, researchers may learn more about what affects people's health.

We look forward to sharing this exciting and revolutionary journey with you.

For more information about the All of Us Research Program at UC San Diego Health, please click on the image below: