Geoffrey S. Ginsburg

ORCID: 0000-0003-4739-9808
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About
Contact & Profiles
Research Areas
  • BRCA gene mutations in cancer
  • Genomics and Rare Diseases
  • Respiratory viral infections research
  • Cancer Genomics and Diagnostics
  • Bioinformatics and Genomic Networks
  • Gene expression and cancer classification
  • Health Systems, Economic Evaluations, Quality of Life
  • Cardiac Imaging and Diagnostics
  • Lipoproteins and Cardiovascular Health
  • Molecular Biology Techniques and Applications
  • Antiplatelet Therapy and Cardiovascular Diseases
  • Pharmacogenetics and Drug Metabolism
  • Ethics in Clinical Research
  • Influenza Virus Research Studies
  • Genetic Associations and Epidemiology
  • Acute Myocardial Infarction Research
  • Metabolomics and Mass Spectrometry Studies
  • Cardiovascular Function and Risk Factors
  • Genetics, Bioinformatics, and Biomedical Research
  • Nutrition, Genetics, and Disease
  • Health, Environment, Cognitive Aging
  • Genetic factors in colorectal cancer
  • SARS-CoV-2 and COVID-19 Research
  • Liver Disease Diagnosis and Treatment
  • Bacterial Identification and Susceptibility Testing

Duke University
2015-2024

Duke Medical Center
2014-2024

Duke University Health System
2011-2024

National Institutes of Health
2021-2024

Duke University Hospital
2008-2024

Meta (United States)
2024

Stanford University
2024

Government of the United States of America
2024

Durham VA Health Care System
2023

Unifor
2023

Clinical trials have indicated a benefit of adjuvant chemotherapy for patients with stage IB, II, or IIIA--but not IA--non-small-cell lung cancer (NSCLC). This classification scheme is probably an imprecise predictor the prognosis individual patient. Indeed, approximately 25 percent IA disease recurrence after surgery, suggesting need to identify in this subgroup more effective therapy.We identified gene-expression profiles that predicted risk cohort 89 early-stage NSCLC (the metagene...

10.1056/nejmoa060467 article EN New England Journal of Medicine 2006-08-09

Molecular tools may provide insight into cardiovascular risk. We assessed whether metabolites discriminate coronary artery disease (CAD) and predict risk of events.We performed mass-spectrometry-based profiling 69 in subjects from the CATHGEN biorepository. To evaluate discriminative capabilities for CAD, 2 groups were profiled: 174 CAD cases sex/race-matched controls ("initial"), 140 ("replication"). capability to events, combined ("event" group); these, 74 experienced death/myocardial...

10.1161/circgenetics.109.852814 article EN Circulation Cardiovascular Genetics 2010-02-20

To find and validate generalizable sepsis subtypes using data-driven clustering.We used advanced informatics techniques to pool data from 14 bacterial transcriptomic datasets eight different countries (n = 700).Retrospective analysis.Persons admitted the hospital with sepsis.None.A unified clustering analysis across discovery revealed three subtypes, which, based on functional analysis, we termed "Inflammopathic, Adaptive, Coagulopathic." We then validated these in nine independent five...

10.1097/ccm.0000000000003084 article EN Critical Care Medicine 2018-03-14

Background: Variable health literacy and genetic knowledge may pose significant challenges to engaging the general public in personal genomics, specifically with respect promoting risk comprehension healthy behaviors. Methods: We are conducting a multistage study of individual responses genomic information for Type 2 diabetes mellitus. A total 300 individuals were recruited from Durham, North Carolina: 60% self-identified as White; 70% female; 65% have college degree. As part baseline...

10.1089/gtmb.2012.0350 article EN Genetic Testing and Molecular Biomarkers 2013-02-13

Patients, clinicians, researchers and payers are seeking to understand the value of using genomic information (as reflected by genotyping, sequencing, family history or other data) inform clinical decision-making. However, challenges exist widespread implementation medicine, a prerequisite for developing evidence its real-world utility. To address these challenges, National Institutes Health-funded IGNITE (Implementing GeNomics In pracTicE; www.ignite-genomics.org ) Network, comprised six...

10.1186/s12920-015-0162-5 article EN cc-by BMC Medical Genomics 2015-12-01

Improved risk stratification and prognosis prediction in sepsis is a critical unmet need. Clinical severity scores available assays such as blood lactate reflect global illness with suboptimal performance, do not specifically reveal the underlying dysregulation of sepsis. Here, we present prognostic models for 30-day mortality generated independently by three scientific groups using 12 discovery cohorts containing transcriptomic data collected from primarily community-onset patients....

10.1038/s41467-018-03078-2 article EN cc-by Nature Communications 2018-02-09

The authors address the issues that must be confronted if we are to integrate use of wearable digital health technologies into clinical care in a way provides an enduring benefit patients.

10.1056/nejmra2307160 article EN New England Journal of Medicine 2024-03-20

This article reviews the use of digital wearable technologies for monitoring three common cardiovascular conditions: hypertension, heart failure, and atrial fibrillation.

10.1056/nejmra2301903 article EN New England Journal of Medicine 2024-01-24

This study evaluated the relative efficacy of an exposure-based contingency management (CM) treatment condition and cognitive self-control (SC) to education support (ES) control for treating children with phobic disorders. Eighty-one their parents completed a 10-week program in which were seen separate sessions therapist, followed by brief conjoint meeting. Children both CM SC conditions showed substantial improvement on all outcome measures. These gains maintained at 3-, 6-, 12-month...

10.1037//0022-006x.67.5.675 article EN Journal of Consulting and Clinical Psychology 1999-01-01
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