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Phenotyping & Precision Medicine Resource Core

Purpose

Dr. Amanda Nelson
Dr. Amanda Nelson, Director of the Phenotyping & Precision Medicine Resource Core

The Phenotyping and Precision Medicine Resource Core聽provides critical services to our research community that broadly include:

  • Key scientific expertise and analytic resources needed for聽Prognostic and Prescriptive Phenotyping
    • Consultative services for phenotyping and precision medicine analyses for our research community
    • Providing educational opportunities relevant to data science approaches in rheumatic and musculoskeletal diseases (RMDs)
  • Guidance and advice to investigators on phenotypic considerations
    • Development of a high value real-world dataset for OA characterization and phenotyping in collaboration with other CCCRs and multiple entities at 黑料网

Resource Core Team

– Amos Hawley Professor of Statistics and Operations Research

– W.R. Kenan, Jr. Distinguished Professor of Biostatistics

Louise Thoma, PT, DPT, PhD – Assistant Professor of Physical Therapy

Astia Allenzara, MD – Assistant Professor of Medicine in the Division of Rheumatology, Allergy, and Immunology

Internal Advisory Board

– Chief Research and Strategy Officer for the 黑料网 School of Data Science and Society (SDSS)

Jonathan Berg, MD, PhD – Director of the Program for Precision Medicine in Health Care (PPMH)

– PI and Director of NC TraCS

– Co-Director of Informatics and Data Science (IDSci) at NC TraCS

– Director of the Collaborative Studies Coordinating Center

Setting You Up For Success

Note: We invite you to view this recorded presentation on Precision Medicine, featuring Dr. Amanda Nelson: 鈥淢achine Learning for Phenotyping in OA.鈥�

Infographic

Resource Core Limitations and Proposed Solutions to Big Data Challenges

Limitations Solutions
Inter-institutional differences (EHR, analytics) Obtain and characterize an integrated, multi-practice dataset
Lack of open-source tools, reporting transparency Utilize and develop all tools for open-access use
Lack of entry points for Early Stage Investigators (ESI) Encourage early and ongoing involvement by ESIs
Insufficient data science workforce Provide didactic and hands-on research training in data science
Limited interpretability/generalizability of results Utilize a real world dataset and ask clinically relevant questions
Incomplete, missing, fractured data Study missingness to understand potential bias, data fusion
Bias and privacy concerns Utilize a deidentified dataset from a consented population

Key Publications

  1. PMID: 35609053 Nelson AE, Keefe TH, Schwartz TA, Callahan LF, Loeser RF, Golightly YM, Arbeeva L, Marron JS. PLoS One. 2022 May 24;17(5):e0266964. doi: 10.1371/journal.pone.0266964. eCollection 2022.PMID: 35609053聽Free PMC article.
  2. PMID: 37527856 Kim S, Kosorok MR, Arbeeva L, Schwartz TA, Callahan LF, Golightly YM, Nelson AE, Allen KD. J Rheumatol. 2023 Oct;50(10):1341-1345. doi: 10.3899/jrheum.2022-1039. Epub 2023 Aug 1.PMID: 37527856聽Free PMC article.
  3. PMID: 31002938 Nelson AE, Fang F, Arbeeva L, Cleveland RJ, Schwartz TA, Callahan LF, Marron JS, Loeser RF. Osteoarthritis Cartilage. 2019 Jul;27(7):994-1001. doi: 10.1016/j.joca.2018.12.027. Epub 2019 Apr 16.PMID: 31002938聽Free PMC article.
  4. PMID: 36817090 Keefe TH, Minnig MC, Arbeeva L, Niethammer M, Xu Z, Shen Z, Chen B, Nissman DB, Golightly YM, Marron JS, Nelson AE. Osteoarthr Cartil Open. 2023 Jan 24;5(1):100334. doi: 10.1016/j.ocarto.2023.100334. eCollection 2023 Mar.PMID: 36817090聽Free PMC article.
  5. PMID: 32144896 Jiang X, Nelson AE, Cleveland RJ, Beavers DP, Schwartz TA, Arbeeva L, Alvarez C, Callahan LF, Messier S, Loeser R, Kosorok MR. Arthritis Care Res (Hoboken). 2021 May;73(5):693-701. doi: 10.1002/acr.24179.PMID: 32144896聽Free PMC article.聽Clinical Trial.
  6. PMID: 35840150聽Nelson AE, Arbeeva L. J Rheumatol. 2022 Nov;49(11):1191-1200. doi: 10.3899/jrheum.220326. Epub 2022 Jul 15.PMID: 35840150聽Free PMC article.听搁别惫颈别飞.

For more information, or to speak with someone regarding our Phenotyping and Precision Medicine Core, please contact Amanda Nelson, MD:聽Amanda_Nelson@med.unc.edu.

To initiate the process of requesting information, data, and/or collaboration from 黑料网鈥檚 CCCR, please complete and submit聽.听