Consortium Building

Lead Research Organisation: University of Manchester
Department Name: Medical and Human Sciences

Abstract

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

Publications

10 25 50
 
Description MRC Stratified Medicine Consortium Awards
Amount £4,900,000 (GBP)
Funding ID MR/L011808/1 
Organisation Medical Research Council (MRC) 
Sector Public
Country United Kingdom
Start 09/2014 
End 08/2018
 
Description PSORT 
Organisation AbbVie Inc
Country United States 
Sector Private 
PI Contribution The team have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings.
Collaborator Contribution The partners have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings. Partners are contributing clinical, biostatistical, bioinformatics, skin biology, nursing, clinical dermatology, machine learning, health economics, pharmacy, genetics, systems biology and management and governance expertise. As well as equipment, software, clinical trial samples, somalogic testing, RNA extraction and sequencing, methodological know-how, clinical trial datasets, data management and pharmacovigilance data. Industry partners are contributing in excess of £2.5million of combined monetary and in-kind contributions.
Impact Received funding award of £4.9 million from the MRC Stratified Medicine Consortium programme and a further contribution of >.£2.5 million investment (both in-kind and monetary) from industry partners PSORT is a multi-disciplinary consortium involving: clinical dermatology skin biology nursing bioinformatics biostatistics machine learning health economics pharmacy genetics systems biology management and governance
Start Year 2014
 
Description PSORT 
Organisation AstraZeneca
Department MedImmune
Country United Kingdom 
Sector Private 
PI Contribution The team have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings.
Collaborator Contribution The partners have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings. Partners are contributing clinical, biostatistical, bioinformatics, skin biology, nursing, clinical dermatology, machine learning, health economics, pharmacy, genetics, systems biology and management and governance expertise. As well as equipment, software, clinical trial samples, somalogic testing, RNA extraction and sequencing, methodological know-how, clinical trial datasets, data management and pharmacovigilance data. Industry partners are contributing in excess of £2.5million of combined monetary and in-kind contributions.
Impact Received funding award of £4.9 million from the MRC Stratified Medicine Consortium programme and a further contribution of >.£2.5 million investment (both in-kind and monetary) from industry partners PSORT is a multi-disciplinary consortium involving: clinical dermatology skin biology nursing bioinformatics biostatistics machine learning health economics pharmacy genetics systems biology management and governance
Start Year 2014
 
Description PSORT 
Organisation Becton, Dickinson and Company
Country United States 
Sector Private 
PI Contribution The team have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings.
Collaborator Contribution The partners have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings. Partners are contributing clinical, biostatistical, bioinformatics, skin biology, nursing, clinical dermatology, machine learning, health economics, pharmacy, genetics, systems biology and management and governance expertise. As well as equipment, software, clinical trial samples, somalogic testing, RNA extraction and sequencing, methodological know-how, clinical trial datasets, data management and pharmacovigilance data. Industry partners are contributing in excess of £2.5million of combined monetary and in-kind contributions.
Impact Received funding award of £4.9 million from the MRC Stratified Medicine Consortium programme and a further contribution of >.£2.5 million investment (both in-kind and monetary) from industry partners PSORT is a multi-disciplinary consortium involving: clinical dermatology skin biology nursing bioinformatics biostatistics machine learning health economics pharmacy genetics systems biology management and governance
Start Year 2014
 
Description PSORT 
Organisation Bristol-Myers Squibb
Department Celgene
Country United States 
Sector Private 
PI Contribution The team have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings.
Collaborator Contribution The partners have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings. Partners are contributing clinical, biostatistical, bioinformatics, skin biology, nursing, clinical dermatology, machine learning, health economics, pharmacy, genetics, systems biology and management and governance expertise. As well as equipment, software, clinical trial samples, somalogic testing, RNA extraction and sequencing, methodological know-how, clinical trial datasets, data management and pharmacovigilance data. Industry partners are contributing in excess of £2.5million of combined monetary and in-kind contributions.
Impact Received funding award of £4.9 million from the MRC Stratified Medicine Consortium programme and a further contribution of >.£2.5 million investment (both in-kind and monetary) from industry partners PSORT is a multi-disciplinary consortium involving: clinical dermatology skin biology nursing bioinformatics biostatistics machine learning health economics pharmacy genetics systems biology management and governance
Start Year 2014
 
Description PSORT 
Organisation British Association of Dermatologists (BAD)
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution The team have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings.
Collaborator Contribution The partners have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings. Partners are contributing clinical, biostatistical, bioinformatics, skin biology, nursing, clinical dermatology, machine learning, health economics, pharmacy, genetics, systems biology and management and governance expertise. As well as equipment, software, clinical trial samples, somalogic testing, RNA extraction and sequencing, methodological know-how, clinical trial datasets, data management and pharmacovigilance data. Industry partners are contributing in excess of £2.5million of combined monetary and in-kind contributions.
Impact Received funding award of £4.9 million from the MRC Stratified Medicine Consortium programme and a further contribution of >.£2.5 million investment (both in-kind and monetary) from industry partners PSORT is a multi-disciplinary consortium involving: clinical dermatology skin biology nursing bioinformatics biostatistics machine learning health economics pharmacy genetics systems biology management and governance
Start Year 2014
 
Description PSORT 
Organisation Eli Lilly & Company Ltd
Country United Kingdom 
Sector Private 
PI Contribution The team have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings.
Collaborator Contribution The partners have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings. Partners are contributing clinical, biostatistical, bioinformatics, skin biology, nursing, clinical dermatology, machine learning, health economics, pharmacy, genetics, systems biology and management and governance expertise. As well as equipment, software, clinical trial samples, somalogic testing, RNA extraction and sequencing, methodological know-how, clinical trial datasets, data management and pharmacovigilance data. Industry partners are contributing in excess of £2.5million of combined monetary and in-kind contributions.
Impact Received funding award of £4.9 million from the MRC Stratified Medicine Consortium programme and a further contribution of >.£2.5 million investment (both in-kind and monetary) from industry partners PSORT is a multi-disciplinary consortium involving: clinical dermatology skin biology nursing bioinformatics biostatistics machine learning health economics pharmacy genetics systems biology management and governance
Start Year 2014
 
Description PSORT 
Organisation GlaxoSmithKline (GSK)
Department Steifel
Country United States 
Sector Private 
PI Contribution The team have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings.
Collaborator Contribution The partners have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings. Partners are contributing clinical, biostatistical, bioinformatics, skin biology, nursing, clinical dermatology, machine learning, health economics, pharmacy, genetics, systems biology and management and governance expertise. As well as equipment, software, clinical trial samples, somalogic testing, RNA extraction and sequencing, methodological know-how, clinical trial datasets, data management and pharmacovigilance data. Industry partners are contributing in excess of £2.5million of combined monetary and in-kind contributions.
Impact Received funding award of £4.9 million from the MRC Stratified Medicine Consortium programme and a further contribution of >.£2.5 million investment (both in-kind and monetary) from industry partners PSORT is a multi-disciplinary consortium involving: clinical dermatology skin biology nursing bioinformatics biostatistics machine learning health economics pharmacy genetics systems biology management and governance
Start Year 2014
 
Description PSORT 
Organisation Guy's and St Thomas' NHS Foundation Trust
Department Dermatology
Country United Kingdom 
Sector Hospitals 
PI Contribution The team have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings.
Collaborator Contribution The partners have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings. Partners are contributing clinical, biostatistical, bioinformatics, skin biology, nursing, clinical dermatology, machine learning, health economics, pharmacy, genetics, systems biology and management and governance expertise. As well as equipment, software, clinical trial samples, somalogic testing, RNA extraction and sequencing, methodological know-how, clinical trial datasets, data management and pharmacovigilance data. Industry partners are contributing in excess of £2.5million of combined monetary and in-kind contributions.
Impact Received funding award of £4.9 million from the MRC Stratified Medicine Consortium programme and a further contribution of >.£2.5 million investment (both in-kind and monetary) from industry partners PSORT is a multi-disciplinary consortium involving: clinical dermatology skin biology nursing bioinformatics biostatistics machine learning health economics pharmacy genetics systems biology management and governance
Start Year 2014
 
Description PSORT 
Organisation Johnson & Johnson
Department Janssen-Cilag
Country Global 
Sector Private 
PI Contribution The team have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings.
Collaborator Contribution The partners have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings. Partners are contributing clinical, biostatistical, bioinformatics, skin biology, nursing, clinical dermatology, machine learning, health economics, pharmacy, genetics, systems biology and management and governance expertise. As well as equipment, software, clinical trial samples, somalogic testing, RNA extraction and sequencing, methodological know-how, clinical trial datasets, data management and pharmacovigilance data. Industry partners are contributing in excess of £2.5million of combined monetary and in-kind contributions.
Impact Received funding award of £4.9 million from the MRC Stratified Medicine Consortium programme and a further contribution of >.£2.5 million investment (both in-kind and monetary) from industry partners PSORT is a multi-disciplinary consortium involving: clinical dermatology skin biology nursing bioinformatics biostatistics machine learning health economics pharmacy genetics systems biology management and governance
Start Year 2014
 
Description PSORT 
Organisation King's College London
Country United Kingdom 
Sector Academic/University 
PI Contribution The team have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings.
Collaborator Contribution The partners have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings. Partners are contributing clinical, biostatistical, bioinformatics, skin biology, nursing, clinical dermatology, machine learning, health economics, pharmacy, genetics, systems biology and management and governance expertise. As well as equipment, software, clinical trial samples, somalogic testing, RNA extraction and sequencing, methodological know-how, clinical trial datasets, data management and pharmacovigilance data. Industry partners are contributing in excess of £2.5million of combined monetary and in-kind contributions.
Impact Received funding award of £4.9 million from the MRC Stratified Medicine Consortium programme and a further contribution of >.£2.5 million investment (both in-kind and monetary) from industry partners PSORT is a multi-disciplinary consortium involving: clinical dermatology skin biology nursing bioinformatics biostatistics machine learning health economics pharmacy genetics systems biology management and governance
Start Year 2014
 
Description PSORT 
Organisation LEO Pharma
Country Ireland 
Sector Private 
PI Contribution The team have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings.
Collaborator Contribution The partners have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings. Partners are contributing clinical, biostatistical, bioinformatics, skin biology, nursing, clinical dermatology, machine learning, health economics, pharmacy, genetics, systems biology and management and governance expertise. As well as equipment, software, clinical trial samples, somalogic testing, RNA extraction and sequencing, methodological know-how, clinical trial datasets, data management and pharmacovigilance data. Industry partners are contributing in excess of £2.5million of combined monetary and in-kind contributions.
Impact Received funding award of £4.9 million from the MRC Stratified Medicine Consortium programme and a further contribution of >.£2.5 million investment (both in-kind and monetary) from industry partners PSORT is a multi-disciplinary consortium involving: clinical dermatology skin biology nursing bioinformatics biostatistics machine learning health economics pharmacy genetics systems biology management and governance
Start Year 2014
 
Description PSORT 
Organisation NHS Greater Glasgow and Clyde (NHSGGC)
Country United Kingdom 
Sector Public 
PI Contribution The team have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings.
Collaborator Contribution The partners have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings. Partners are contributing clinical, biostatistical, bioinformatics, skin biology, nursing, clinical dermatology, machine learning, health economics, pharmacy, genetics, systems biology and management and governance expertise. As well as equipment, software, clinical trial samples, somalogic testing, RNA extraction and sequencing, methodological know-how, clinical trial datasets, data management and pharmacovigilance data. Industry partners are contributing in excess of £2.5million of combined monetary and in-kind contributions.
Impact Received funding award of £4.9 million from the MRC Stratified Medicine Consortium programme and a further contribution of >.£2.5 million investment (both in-kind and monetary) from industry partners PSORT is a multi-disciplinary consortium involving: clinical dermatology skin biology nursing bioinformatics biostatistics machine learning health economics pharmacy genetics systems biology management and governance
Start Year 2014
 
Description PSORT 
Organisation Newcastle University
Department Dermatological Sciences
Country United Kingdom 
Sector Academic/University 
PI Contribution The team have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings.
Collaborator Contribution The partners have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings. Partners are contributing clinical, biostatistical, bioinformatics, skin biology, nursing, clinical dermatology, machine learning, health economics, pharmacy, genetics, systems biology and management and governance expertise. As well as equipment, software, clinical trial samples, somalogic testing, RNA extraction and sequencing, methodological know-how, clinical trial datasets, data management and pharmacovigilance data. Industry partners are contributing in excess of £2.5million of combined monetary and in-kind contributions.
Impact Received funding award of £4.9 million from the MRC Stratified Medicine Consortium programme and a further contribution of >.£2.5 million investment (both in-kind and monetary) from industry partners PSORT is a multi-disciplinary consortium involving: clinical dermatology skin biology nursing bioinformatics biostatistics machine learning health economics pharmacy genetics systems biology management and governance
Start Year 2014
 
Description PSORT 
Organisation Novartis
Country Global 
Sector Private 
PI Contribution The team have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings.
Collaborator Contribution The partners have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings. Partners are contributing clinical, biostatistical, bioinformatics, skin biology, nursing, clinical dermatology, machine learning, health economics, pharmacy, genetics, systems biology and management and governance expertise. As well as equipment, software, clinical trial samples, somalogic testing, RNA extraction and sequencing, methodological know-how, clinical trial datasets, data management and pharmacovigilance data. Industry partners are contributing in excess of £2.5million of combined monetary and in-kind contributions.
Impact Received funding award of £4.9 million from the MRC Stratified Medicine Consortium programme and a further contribution of >.£2.5 million investment (both in-kind and monetary) from industry partners PSORT is a multi-disciplinary consortium involving: clinical dermatology skin biology nursing bioinformatics biostatistics machine learning health economics pharmacy genetics systems biology management and governance
Start Year 2014
 
Description PSORT 
Organisation Pfizer Ltd
Country United Kingdom 
Sector Private 
PI Contribution The team have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings.
Collaborator Contribution The partners have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings. Partners are contributing clinical, biostatistical, bioinformatics, skin biology, nursing, clinical dermatology, machine learning, health economics, pharmacy, genetics, systems biology and management and governance expertise. As well as equipment, software, clinical trial samples, somalogic testing, RNA extraction and sequencing, methodological know-how, clinical trial datasets, data management and pharmacovigilance data. Industry partners are contributing in excess of £2.5million of combined monetary and in-kind contributions.
Impact Received funding award of £4.9 million from the MRC Stratified Medicine Consortium programme and a further contribution of >.£2.5 million investment (both in-kind and monetary) from industry partners PSORT is a multi-disciplinary consortium involving: clinical dermatology skin biology nursing bioinformatics biostatistics machine learning health economics pharmacy genetics systems biology management and governance
Start Year 2014
 
Description PSORT 
Organisation QIAGEN
Department QIAGEN (Netherlands)
Country Netherlands 
Sector Private 
PI Contribution The team have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings.
Collaborator Contribution The partners have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings. Partners are contributing clinical, biostatistical, bioinformatics, skin biology, nursing, clinical dermatology, machine learning, health economics, pharmacy, genetics, systems biology and management and governance expertise. As well as equipment, software, clinical trial samples, somalogic testing, RNA extraction and sequencing, methodological know-how, clinical trial datasets, data management and pharmacovigilance data. Industry partners are contributing in excess of £2.5million of combined monetary and in-kind contributions.
Impact Received funding award of £4.9 million from the MRC Stratified Medicine Consortium programme and a further contribution of >.£2.5 million investment (both in-kind and monetary) from industry partners PSORT is a multi-disciplinary consortium involving: clinical dermatology skin biology nursing bioinformatics biostatistics machine learning health economics pharmacy genetics systems biology management and governance
Start Year 2014
 
Description PSORT 
Organisation Queen Mary University of London
Country United Kingdom 
Sector Academic/University 
PI Contribution The team have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings.
Collaborator Contribution The partners have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings. Partners are contributing clinical, biostatistical, bioinformatics, skin biology, nursing, clinical dermatology, machine learning, health economics, pharmacy, genetics, systems biology and management and governance expertise. As well as equipment, software, clinical trial samples, somalogic testing, RNA extraction and sequencing, methodological know-how, clinical trial datasets, data management and pharmacovigilance data. Industry partners are contributing in excess of £2.5million of combined monetary and in-kind contributions.
Impact Received funding award of £4.9 million from the MRC Stratified Medicine Consortium programme and a further contribution of >.£2.5 million investment (both in-kind and monetary) from industry partners PSORT is a multi-disciplinary consortium involving: clinical dermatology skin biology nursing bioinformatics biostatistics machine learning health economics pharmacy genetics systems biology management and governance
Start Year 2014
 
Description PSORT 
Organisation Royal College of Physicians of London
Country United Kingdom 
Sector Learned Society 
PI Contribution The team have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings.
Collaborator Contribution The partners have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings. Partners are contributing clinical, biostatistical, bioinformatics, skin biology, nursing, clinical dermatology, machine learning, health economics, pharmacy, genetics, systems biology and management and governance expertise. As well as equipment, software, clinical trial samples, somalogic testing, RNA extraction and sequencing, methodological know-how, clinical trial datasets, data management and pharmacovigilance data. Industry partners are contributing in excess of £2.5million of combined monetary and in-kind contributions.
Impact Received funding award of £4.9 million from the MRC Stratified Medicine Consortium programme and a further contribution of >.£2.5 million investment (both in-kind and monetary) from industry partners PSORT is a multi-disciplinary consortium involving: clinical dermatology skin biology nursing bioinformatics biostatistics machine learning health economics pharmacy genetics systems biology management and governance
Start Year 2014
 
Description PSORT 
Organisation Royal College of Physicians of London
Country United Kingdom 
Sector Learned Society 
PI Contribution The team have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings.
Collaborator Contribution The partners have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings. Partners are contributing clinical, biostatistical, bioinformatics, skin biology, nursing, clinical dermatology, machine learning, health economics, pharmacy, genetics, systems biology and management and governance expertise. As well as equipment, software, clinical trial samples, somalogic testing, RNA extraction and sequencing, methodological know-how, clinical trial datasets, data management and pharmacovigilance data. Industry partners are contributing in excess of £2.5million of combined monetary and in-kind contributions.
Impact Received funding award of £4.9 million from the MRC Stratified Medicine Consortium programme and a further contribution of >.£2.5 million investment (both in-kind and monetary) from industry partners PSORT is a multi-disciplinary consortium involving: clinical dermatology skin biology nursing bioinformatics biostatistics machine learning health economics pharmacy genetics systems biology management and governance
Start Year 2014
 
Description PSORT 
Organisation Sanquin
Country Netherlands 
Sector Private 
PI Contribution The team have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings.
Collaborator Contribution The partners have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings. Partners are contributing clinical, biostatistical, bioinformatics, skin biology, nursing, clinical dermatology, machine learning, health economics, pharmacy, genetics, systems biology and management and governance expertise. As well as equipment, software, clinical trial samples, somalogic testing, RNA extraction and sequencing, methodological know-how, clinical trial datasets, data management and pharmacovigilance data. Industry partners are contributing in excess of £2.5million of combined monetary and in-kind contributions.
Impact Received funding award of £4.9 million from the MRC Stratified Medicine Consortium programme and a further contribution of >.£2.5 million investment (both in-kind and monetary) from industry partners PSORT is a multi-disciplinary consortium involving: clinical dermatology skin biology nursing bioinformatics biostatistics machine learning health economics pharmacy genetics systems biology management and governance
Start Year 2014
 
Description PSORT 
Organisation The Psoriasis Association
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution The team have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings.
Collaborator Contribution The partners have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings. Partners are contributing clinical, biostatistical, bioinformatics, skin biology, nursing, clinical dermatology, machine learning, health economics, pharmacy, genetics, systems biology and management and governance expertise. As well as equipment, software, clinical trial samples, somalogic testing, RNA extraction and sequencing, methodological know-how, clinical trial datasets, data management and pharmacovigilance data. Industry partners are contributing in excess of £2.5million of combined monetary and in-kind contributions.
Impact Received funding award of £4.9 million from the MRC Stratified Medicine Consortium programme and a further contribution of >.£2.5 million investment (both in-kind and monetary) from industry partners PSORT is a multi-disciplinary consortium involving: clinical dermatology skin biology nursing bioinformatics biostatistics machine learning health economics pharmacy genetics systems biology management and governance
Start Year 2014
 
Description PSORT 
Organisation University of Liverpool
Country United Kingdom 
Sector Academic/University 
PI Contribution The team have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings.
Collaborator Contribution The partners have worked to build a consortium to secure MRC and industry funding to develop a stratified medicine approach for psoriasis to better understand determinants of response to biologic therapies and deliver, in close collaboration with commercial partners, a PSORT stratifier (algorithm) to guide psoriasis management. This will optimise clinical pathways for psoriasis, inform the management of other less accessible immune-mediated inflammatory diseases and deliver health care savings. Partners are contributing clinical, biostatistical, bioinformatics, skin biology, nursing, clinical dermatology, machine learning, health economics, pharmacy, genetics, systems biology and management and governance expertise. As well as equipment, software, clinical trial samples, somalogic testing, RNA extraction and sequencing, methodological know-how, clinical trial datasets, data management and pharmacovigilance data. Industry partners are contributing in excess of £2.5million of combined monetary and in-kind contributions.
Impact Received funding award of £4.9 million from the MRC Stratified Medicine Consortium programme and a further contribution of >.£2.5 million investment (both in-kind and monetary) from industry partners PSORT is a multi-disciplinary consortium involving: clinical dermatology skin biology nursing bioinformatics biostatistics machine learning health economics pharmacy genetics systems biology management and governance
Start Year 2014