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Meeting Report: Psoriasis Stratification to Optimize Relevant Therapy Showcase
- Source :
- Journal of Investigative Dermatology. 141:1872-1878
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- A stratified medicine approach for the treatment of psoriasis promises greater certainty of clinical decision making through prediction of response on the basis of clinical, pharmacological, and -omics data from an individual patient. As yet, there is no predictive model for treatment response in routine clinical use for psoriasis. The Psoriasis Stratification to Optimise Relevant Therapy (PSORT) Consortium is a United Kingdom Medical Research Council‒funded, academic‒industrial stratified medicine consortium established with the objective of discovering the predictors and stratifiers of response of psoriasis to biologic therapies. A showcase meeting was convened and attended by 80 stakeholders at the Royal College of Physicians, London, United Kingdom on 18 November 2019. The purpose was to disseminate the research findings from the PSORT consortium discovered thus far. This report summarizes the presentations made on the day and the significant advances made by PSORT toward a stratified medicine approach to the management of psoriasis.
- Subjects :
- 0301 basic medicine
Treatment response
medicine.medical_specialty
MEDLINE
Dermatology
Biochemistry
Omics data
03 medical and health sciences
0302 clinical medicine
Stratified medicine
Psoriasis
medicine
Humans
Precision Medicine
Intersectoral Collaboration
Molecular Biology
Skin
Biological Products
business.industry
Biologic therapies
Cell Biology
Congresses as Topic
medicine.disease
Medical research
Research findings
United Kingdom
Pharmacogenomic Testing
Treatment Outcome
030104 developmental biology
030220 oncology & carcinogenesis
Family medicine
business
Biomarkers
Subjects
Details
- ISSN :
- 0022202X
- Volume :
- 141
- Database :
- OpenAIRE
- Journal :
- Journal of Investigative Dermatology
- Accession number :
- edsair.doi.dedup.....ef8a126626ea05123161580fedb1db9a
- Full Text :
- https://doi.org/10.1016/j.jid.2021.02.746