Name & Company Information Location Interests Events
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Bhargav Adagarla

Duke Clinical Research Institute

Informaticist

Durham

United States

Blockchain Applications in Clinical Research
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Brian McCourt

Duke Clinical Research Institute

Director

Durham

United States

S44: Panel - Developing Data Management Infrastructure Supporting Innovation in Multi-center Clinical Trials at-scale: A Report from the Trial Innovation Network
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Davera Gabriel, RN

Duke Clinical Research Institute

Senior Informatician

Durham

United States

S44: Panel - Developing Data Management Infrastructure Supporting Innovation in Multi-center Clinical Trials at-scale: A Report from the Trial Innovation Network
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Lesley Curtis

Duke Population Health Sciences

Professor in Medicine

Durham

United States

Clinical Outcomes, Outcomes Research Methods, Patient-Centered Outcomes, Use Of Outcomes Research In Decisions Opening Plenary Session and Keynote Presentation: Lesley Curtis, PhD, Duke University
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Thomas Li

Duke University

Saratoga

United States

Predicting Neonatal Encephalopathy From Maternal Data in Electronic Medical Records
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Dr. Jessie Tenenbaum

Duke University

Assistant Professor

Raleigh

United States

Mental Health: The Next Frontier for Informatics to Enable Precision Medicine
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Brian Douthit

Duke University

Durham

United States

Emergency Department Clinician Perspectives on the Data Availability to Implement Clinical Decision Support Tools for Five Clinical Practice Guidelines
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Ursula Rogers, BS

Duke University

Senior Informaticist

Durham

United States

Clinical And Research Data Collection; Curation; Preservation; Or Sharing, Cohort Discovery, Data Integration And Standardization, Data Mining And Knowledge Discovery, Data Science, Database Technology, EHR-based Phenotyping, Enterprise Data Warehouse, Informatics Implementation Board 43 - Early Experiences Enabling a Machine Learning Pipeline with Clinical and Medicare Shared Savings Program (MSSP) Data
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Wen Yin

Duke University

Durham

United States

Learning Opportunities for Drug Repositioning via GWAS and PheWAS Findings
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Julian Hong

Duke University

Resident

Durham

United States

Big Data Analytics, Clinical Decision Support, Machine Learning, Personal Health Informatics, Precision Medicine Board 22 - Machine learning on EHR data for prediction of emergency visits and hospitalization during cancer radiotherapy
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Keith Marsolo

Duke University

Associate Professor

Cincinnati

United States

S15: Panel - Capacity Building for Patient-Reported Outcomes Data Sharing across the Federated Networks: EHR Data Quality, Modeling, and Harmonization
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Benjamin Goldstein

Duke University

Associate Professor

Durham

United States

Translating Clinical Trial Results to a Target EHR Population Using Machine Learning & Causal Inference
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Shelley Rusincovitch, MMCi

Duke University

Associate Director

Durham

United States

Big Data Analytics, Controlled Terminologies Ontologies And Vocabularies, Data Mining, Information Science And Retrieval, Interoperability And Health Information Exchange, Knowledge Representation And Information Modeling, Machine Learning Design and Development of a Machine Learning Pipeline and Protected Computing Environment, S46: Oral Presentations - Clinical Data Mining and Machine Learning (Part 2)
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Jessilyn Dunn

Duke University & Stanford University

Visiting Assistant Professor & Mobilize Postdoc

Redwood City

United States

Big Data Analytics, Data Mining, Genomics, Machine Learning, Mobile Health, Personal Health Informatics, Personal Health Records, Precision Medicine, Systems Biology Personalized Vital Sign Modeling to Predict Health Status
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Eizen Kimura

Ehime Univ.

Associate Professor

Toon, Ehime

Japan

Board 29 - Matching items between of EDC and EMR using FHIR terminology service
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Robert Chen

Emory University, Georgia Institute of Technology

PhD Candidate

Atlanta

United States

Executable Data Science Notebook for Phenotype Discovery Pipeline Using Observational Data
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Keith Burkhart

FDA

Senior Advisor for Medical Toxicology

Silver Spring

United States

S31: Panel - Towards Large-scale Predictive Drug Safety: A Systems Pharmacology Perspective
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Mitra Rocca

Food and Drug Administration

Senior Medical Informatician

Frederick

United States

S26: Panel - Improving Standardization and Interoperability of Common Data Models for Clinical and Translational Research
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Kristi Holmes

Galter Health Sciences Library

Director

Chicago

United States

S11: Panel - The CTSA Program Center for Data to Health, Leveraging Informatics Infrastructure to Drive Evaluation & Continuous Improvement
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Dr Marc Williams

Geisinger Health System

Director, Genomic Medicine Institute

Danville

United States

S21: Panel - Moving Genomics into the Clinic: Informatic approaches from eMERGE, ClinGen, HL7 and GA4GH