TY - JOUR
T1 - The use or generation of biomedical data and existing medicines to discover and establish new treatments for patients with rare diseases-recommendations of the IRDiRC Data Mining and Repurposing Task Force
AU - Southall, Noel T.
AU - Natarajan, Madhusudan
AU - Lau, Lilian Pek Lian
AU - Jonker, Anneliene Hechtelt
AU - Deprez, Benoît
AU - Guilliams, Tim
AU - Hunter, Lawrence
AU - Rademaker, Carin M.A.
AU - Hivert, Virginie
AU - Ardigò, Diego
AU - Cavalla, David
AU - Colvis, Christine
AU - Deprez, Benoît
AU - Hettne, Kristina
AU - Guilliams, Tim
AU - Hivert, Virginie
AU - T-Hoen, Peter Bram
AU - Hunter, Lawrence
AU - Kant, Caroline
AU - Krischer, Jeffrey
AU - Marin, Frédéric
AU - Natarajan, Madhusudan
AU - Quintana, Jordi
AU - Rademaker, Carin M.A.
AU - Reed, Jane
AU - Southall, Noel
AU - Tsigkos, Stylianos
AU - Thompson, Rick
AU - Aartsma-Rus, Annemieke
N1 - Funding Information:
The IRDiRC Data Mining and Repurposing Task Force and the IRDiRC Scientific Secretariat were supported by the European FP7 Contract, “SUPPORT-IRDiRC” (No 305207).
Publisher Copyright:
© 2019 The Author(s).
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2019/10/15
Y1 - 2019/10/15
N2 - The number of available therapies for rare diseases remains low, as fewer than 6% of rare diseases have an approved treatment option. The International Rare Diseases Research Consortium (IRDiRC) set up the multi-stakeholder Data Mining and Repurposing (DMR) Task Force to examine the potential of applying biomedical data mining strategies to identify new opportunities to use existing pharmaceutical compounds in new ways and to accelerate the pace of drug development for rare disease patients. In reviewing past successes of data mining for drug repurposing, and planning for future biomedical research capacity, the DMR Task Force identified four strategic infrastructure investment areas to focus on in order to accelerate rare disease research productivity and drug development: (1) improving the capture and sharing of self-reported patient data, (2) better integration of existing research data, (3) increasing experimental testing capacity, and (4) sharing of rare disease research and development expertise. Additionally, the DMR Task Force also recommended a number of strategies to increase data mining and repurposing opportunities for rare diseases research as well as the development of individualized and precision medicine strategies.
AB - The number of available therapies for rare diseases remains low, as fewer than 6% of rare diseases have an approved treatment option. The International Rare Diseases Research Consortium (IRDiRC) set up the multi-stakeholder Data Mining and Repurposing (DMR) Task Force to examine the potential of applying biomedical data mining strategies to identify new opportunities to use existing pharmaceutical compounds in new ways and to accelerate the pace of drug development for rare disease patients. In reviewing past successes of data mining for drug repurposing, and planning for future biomedical research capacity, the DMR Task Force identified four strategic infrastructure investment areas to focus on in order to accelerate rare disease research productivity and drug development: (1) improving the capture and sharing of self-reported patient data, (2) better integration of existing research data, (3) increasing experimental testing capacity, and (4) sharing of rare disease research and development expertise. Additionally, the DMR Task Force also recommended a number of strategies to increase data mining and repurposing opportunities for rare diseases research as well as the development of individualized and precision medicine strategies.
KW - Data mining
KW - Drug development
KW - IRDiRC
KW - Orphan drug
KW - Orphan medical product
KW - Rare disease
KW - Repositioning
KW - Repurposing
KW - Therapies
UR - http://www.scopus.com/inward/record.url?scp=85073431546&partnerID=8YFLogxK
U2 - 10.1186/s13023-019-1193-3
DO - 10.1186/s13023-019-1193-3
M3 - Article
C2 - 31615551
AN - SCOPUS:85073431546
SN - 1750-1172
VL - 14
JO - Orphanet Journal of Rare Diseases
JF - Orphanet Journal of Rare Diseases
IS - 1
M1 - 225
ER -