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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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Publication Date
2019-11
ICR Author
Choudhary, Jyoti
Author
Lowe, ME
Andersen, DK
Caprioli, RM
Choudhary, J
Cruz-Monserrate, Z
Dasyam, AK
Forsmark, CE
Gorelick, FS
Gray, JW
Haupt, M
Kelly, KA
Olive, KP
Plevritis, SK
Rappaport, N
Roth, HR
Steen, H
Swamidass, SJ
Tirkes, T
Uc, A
Veselkov, K
Whitcomb, DC
Habtezion, A
Type
Journal Article
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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.
URL
https://repository.icr.ac.uk/handle/internal/4175
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  • Other ICR Research
Licenseref URL
http://www.rioxx.net/licenses/all-rights-reserved
Version of record
10.1097/mpa.0000000000001412
Subject
Humans
Pancreatic Diseases
Computational Biology
Research
Biomedical Research
Metabolomics
Datasets as Topic
Biomarkers
Precision Medicine
Deep Learning
Language
eng
Date accepted
2019-11-09
License start date
2019-11
Citation
Pancreas, 2019, 48 (10), pp. 1250 - 1258

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