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Our Mission

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.

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nurses and physicians wearing scrubs with all of us logo standing in front of ACTRI building

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.

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Featured Classes

MED 264

Principles of Biomedical Informatics

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MED 262

Current Trends in Biomedical Informatics

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Cancer Genomics Journal Club

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Featured Papers & Books

Johnson B, Shuai Y, Schweinsberg J, Curtius K.   cloneRate: fast estimation of single-cell clonal dynamics using coalescent theory.  Bioinformatics. 2023 Sep 12:btad561. doi: 10.1093/bioinformatics/btad561. Online ahead of print. PMID: 37699006

Kashani KB, Awdishu L, Bagshaw SM, Barreto EF, Claure-Del Granado R, Evans BJ, Forni LG, Ghosh E, Goldstein SL, Kane-Gill SL, Koola J, Koyner JL, Liu M, Murugan R, Nadkarni GN, Neyra JA, Ninan J, Ostermann M, Pannu N, Rashidi P, Ronco C, Rosner MH, Selby NM, Shickel B, Singh K, Soranno DE, Sutherland SM, Bihorac A, Mehta RL.  Digital health and acute kidney injury: consensus report of the 27th Acute Disease Quality Initiative workgroup.  Nat Rev Nephrol. 2023 Aug 14. doi: 10.1038/s41581-023-00744-7. Online ahead of print. PMID: 37580570 Review.

Keeler Bruce L, Paul P, Kim KK, Kim J, Keegan THM, Hiatt RA, Ohno-Machado L; All of Us Research Program Investigators.  Family and personal history of cancer in the All of Us research program for precision medicine.  PLoS One. 2023 Jul 17;18(7):e0288496. doi: 10.1371/journal.pone.0288496. eCollection 2023. PMID: 37459328

Boussina A, Wardi G, Shashikumar SP, Malhotra A, Zheng K, Nemati SRepresentation Learning and Spectral Clustering for the Development and External Validation of Dynamic Sepsis Phenotypes: Observational Cohort Study - PubMed ( J Med Internet Res. 2023 Jun 23;25:e45614. doi: 10.2196/45614. PMID: 37351927

Ayers JW, Zhu Z, Poliak A, Leas EC, Dredze M, Hogarth M, Smith DM. Evaluating Artificial Intelligence Responses to Public Health Questions. JAMA Netw Open. 2023 Jun 1;6(6):e2317517. doi: 10.1001/jamanetworkopen.2023.17517. PMID: 37285160

Ayers JW, Poliak A, Dredze M, Leas EC, Zhu Z, Kelley JB, Faix DJ, Goodman AM, Longhurst CA, Hogarth M, Smith DM. Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum.  JAMA Intern Med. 2023 Apr 28:e231838. doi: 10.1001/jamainternmed.2023.1838. Online ahead of print. PMID: 37115527

 Wardi G, Owens R, Josef C, Malhotra A, Longhurst C, Nemati SBringing the Promise of Artificial Intelligence to Critical Care: What the Experience With Sepsis Analytics Can Teach Us.  Crit Care Med. 2023 Apr 26. doi: 10.1097/CCM.0000000000005894. Online ahead of print. PMID: 37098790 No abstract available. 

Wang X, Ryu J, Kim J, Ramirez A, Mayo KR; All of Us Research Program; Condon H, Vaitinadin NS, Ohno-Machado L, Talavera GA, Ellinor PT, Lubitz SA, Choi SH. Common and rare variants associated with cardiometabolic traits across 98,622 whole-genome sequences in the All of Us research program.  J Hum Genet. 2023 Apr 18. doi: 10.1038/s10038-023-01147-z. Online ahead of print. PMID: 37072623

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