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Skip to main navigation Skip to search Skip to main content Research Profiles at Washington University School of Medicine Home Help & FAQ Home Profiles Departments, Divisions and Centers Research output Search by expertise, name or affiliation Institute for Informatics, Data Science and Biostatistics (I2DB) Washington University in St. LouisWashington University School of Medicine Websitehttps://i2db.wustl.edu/ Overview Fingerprint Network Profiles (35) Research output (3350) Organization profile Organization profileThe Institute for Informatics, Data Science and Biostatistics (I2DB) provides an academic and professional home for both research and practice. While sitting at the intersection of all three fields, I2DB spans the School of Medicine and works collaboratively with the School of Engineering and Applied Science, the Institute for Public Health, the Brown School, the Olin School of Business, the Health Systems Innovation Lab and Center for Clinical Excellence at BJC HealthCare, and the Cortex Innovation Community. The institute engages in innovative research, workforce development and service delivery, targeting a variety of critical areas of need, including: Expertise in informatics, data science, and biostatisticsThe integration and dissemination of heterogeneous data, information and  knowledge resourcesComputational approaches to the interpretation of bio-molecular, image and clinical phenotypes to inform precision medicineThe acceleration of clinical and translational research through the systematic management of study protocols, data resources and analytical pipelinesThe creation of learning healthcare systems in which cyclical evidence generation and application becomes integral to care deliveryThe use of ubiquitous computing and sensing technologies capable of facilitating population health monitoring and intervention strategiesMethodological and technical approaches to enable and enhance research reproducibility and rigor I2DB is led by Philip R.O. Payne, PhD, a leader in the field of biomedical informatics, and draws upon a multi-disciplinary team of faculty investigators, technical staff and trainees that are fully integrated with the departments and institutes comprising the medical school and collaborating academic units from throughout the university. Fingerprint Dive into the research topics where Institute for Informatics, Data Science and Biostatistics (I2DB) is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint. Alzheimer Disease Medicine & Life Sciences 100% Blood Pressure Medicine & Life Sciences 74% Genes Medicine & Life Sciences 62% Exercise Medicine & Life Sciences 48% African Americans Medicine & Life Sciences 48% Genome Medicine & Life Sciences 46% Electronic Health Records Medicine & Life Sciences 44% Population Medicine & Life Sciences 40% View full fingerprint Collaborations and top research areas from the last five years Recent external collaboration on country/territory level. Dive into details by clicking on the dots or Select a country/territory from the list Dive into details Select a country/territory to view shared publications and projects Close Select a country/territory from the list Explore network further Profiles Joanna AbrahamSection of Clinical and Translational ResearchRoy and Diana Vagelos Division of Biology & Biomedical Sciences (DBBS)DBBS - Biomedical Informatics and Data ScienceInstitute of Clinical and Translational Sciences (ICTS)Institute for Informatics, Data Science and Biostatistics (I2DB)Center for Applied Clinical Informatics (CACI)Person 20062024 Zachary AbramsInstitute for Informatics, Data Science and Biostatistics (I2DB)Center for Biostatistics and Data Science (CBDS)Person 20132023 Chih-Hung ChangProgram in Occupational TherapyInstitute of Clinical and Translational Sciences (ICTS)Institute for Informatics, Data Science and Biostatistics (I2DB)Center for Applied Clinical Informatics (CACI)Siteman Cancer CenterPerson 19962023 View all 35 profiles Research output Research output per year 1968 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2915 Article 122 Conference contribution 105 Review article 60 Comment/debate 148 More 55 Chapter 39 Letter 28 Editorial 17 Conference article 4 Foreword/postscript 4 Paper 1 Book Research output per year Research output per year Alzheimer's polygenic risk scores are associated with cognitive phenotypes in Down syndromeGorijala, P., Aslam, M. M., Dang, L. H. T., Xicota, L., Fernandez, M. V., Sung, Y. J., Fan, K. H., Feingold, E., Surace, E. I., Chhatwal, J. P., Hom, C. L., Hartley, S. L., Hassenstab, J., Perrin, R. J., Mapstone, M., Zaman, S. H., Ances, B. M., Kamboh, M. I., Lee, J. H. & Cruchaga, C., Feb 2024, In: Alzheimer's and Dementia. 20, 2, p. 1038-1049 12 p.Research output: Contribution to journal › Article › peer-review Open Access Down Syndrome 100% dementia 82% Alzheimer Disease 57% Phenotype 49% Memory 24% 1 Scopus citations An investigation of the potential clinical utility of critical slowing down as an early warning sign for recurrence of depressionTonge, N. A., Miller, J. P., Kharasch, E. D., Lenze, E. J. & Rodebaugh, T. L., Mar 2024, In: Journal of Behavior Therapy and Experimental Psychiatry. 82, 101922.Research output: Contribution to journal › Article › peer-review Early Warning 100% Relapse 95% relapse 86% Depression 55% Recurrence 48% 1 Scopus citations A Perioperative Mental Health Intervention for Depressed and Anxious Older Surgical Patients: Results From a Feasibility StudyAbraham, J., Holzer, K. J., Lenard, E. M., Meng, A., Pennington, B. R. T., Wolfe, R. C., Haroutounian, S., Calfee, R., Hammil, C. W., Kozower, B. D., Cordner, T. A., Schweiger, J., McKinnon, S., Yingling, M., Baumann, A. A., Politi, M. C., Kannampallil, T., Miller, J. P., Avidan, M. S. & Lenze, E. J., Feb 2024, In: American Journal of Geriatric Psychiatry. 32, 2, p. 205-219 15 p.Research output: Contribution to journal › Article › peer-review Feasibility Studies 100% Mental Health 75% Anxiety 51% Depression 47% Patient Health Questionnaire 29% 4 Scopus citations View all 3350 Research outputs Powered by Pure, Scopus & Elsevier Fingerprint Engine™ All content on this site: Copyright © 2024 Elsevier B.V. or its licensors and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the Creative Commons licensing terms apply We use COOKIEs to help provide and enhance our service and tailor content. By continuing you agree to the use of COOKIEs About web accessibility Report vulnerability

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