Cited by 15Pancreatitis Pathology and TreatmentPancreatic and Hepatic Oncology ResearchArtificial Intelligence in Healthcare and Education

Precision Medicine in Pancreatic Disease—Knowledge Gaps and Research Opportunities: Summary of a National Institute of Diabetes and Digestive and Kidney Diseases Workshop

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Lowe, Mark E., Andersen, Dana K., Caprioli, Richard M., Choudhary, Jyoti, Cruz-Monserrate, Zobeida, Dasyam, Anil K., Forsmark, Christopher E., Gorelick, Fred S. +14 more·2019·Pancreas

Abstract

A workshop on research gaps and opportunities for Precision Medicine in Pancreatic Disease was sponsored by the National Institute of Diabetes and Digestive Kidney Diseases on July 24, 2019, in Pittsburgh. The workshop included an overview lecture on precision medicine in cancer and 4 sessions: (1) general considerations for the application of bioinformatics and artificial intelligence; (2) omics, the combination of risk factors and biomarkers; (3) precision imaging; and (4) gaps, barriers, and needs to move from precision to personalized medicine for pancreatic disease. Current precision medicine approaches and tools were reviewed, and participants identified knowledge gaps and research needs that hinder bringing precision medicine to pancreatic diseases. Most critical were (a) multicenter efforts to collect large-scale patient data sets from multiple data streams in the context of environmental and social factors; (b) new information systems that can collect, annotate, and quantify data to inform disease mechanisms; (c) novel prospective clinical trial designs to test and improve therapies; and (d) a framework for measuring and assessing the value of proposed approaches to the health care system. With these advances, precision medicine can identify patients early in the course of their pancreatic disease and prevent progression to chronic or fatal illness.

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Authors
Lowe, M. E., Andersen, D. K., Caprioli, R. M., Choudhary, J., Cruz-Monserrate, Z., Dasyam, A. K., Forsmark, C. E., Gorelick, F. S., Gray, J. W., Haupt, M., Kelly, K. A., Olive, K. P., Plevritis, S. K., Rappaport, N., Roth, H. R., Steen, H., Swamidass, S. J., Tirkes, T., Uc, A., Veselkov, K., Whitcomb, D. C., & Habtezion, A.
Affiliations
  • Washington University in St. Louis (US)
  • National Institutes of Health (US)
  • Vanderbilt University (US)
  • Institute of Cancer Research (GB)
  • Division of Gastroenterology, Hepatology, and Nutrition, Comprehensive Cancer Center, The Ohio State University Wexner Medical Center, Columbus, OH
  • University of Pittsburgh (US)
  • University of Florida (US)
  • Yale University (US)
  • OHSU Knight Cancer Institute (US)
  • Ariel Precision Medicine, Pittsburgh, PA
  • University of Virginia (US)
  • Herbert Irving Comprehensive Cancer Center (US)
  • Stanford University (US)
  • Institute for Systems Biology (US)
  • Nvidia (United States) (US)
  • Boston Children's Hospital (US)
  • Indiana University Indianapolis (US)
  • Division of Gastroenterology, Stead Family Department of Pediatrics, The University of Iowa, Iowa City, IA
  • Imperial College London (GB)
Corresponding author
  • Lowe, Mark E.
  • Dasyam, Anil K.
  • Kelly, Kimberly A.
  • Steen, Hanno
  • Whitcomb, David C.
Venue
Pancreas
Published
2019-11
Volume
48
Issue
10
Pages
1250-1258
ISSN
  • 0885-3177 (ISSN-L)
  • 1536-4828
OpenAlex
W2983482125
Cited by
15
References
5
Citations by year
2026: 2 · 2025: 1 · 2024: 1 · 2023: 3 · 2021: 4 · 2020: 3 · 2019: 1
FWCI
1.91
Type
journal article
Language
en
Open access
Locations
  • Pancreas (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • Spiral (Imperial College London) (submittedVersion)
Funders
  • Wellcome Trust
  • National Institute of Diabetes and Digestive and Kidney Diseases (U01DK108300, U01DK108306, U01DK108323, U01DK108334, P30DK054759)
Topics
  • Health Sciences › Medicine › Surgery › Pancreatitis Pathology and Treatment
  • Health Sciences › Medicine › Oncology › Pancreatic and Hepatic Oncology Research
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Keywords
precision medicine, pancreatic diseases, pancreatic cancer, biomarkers, omics, artificial intelligence, bioinformatics, precision imaging, personalized medicine, clinical trial design, early disease detection
MeSH terms
Deep Learning, Humans, Pancreatic Diseases, Research, Biomarkers, Computational Biology, Biomedical Research, Metabolomics, Precision Medicine, Datasets as Topic

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