Development and validation of a framework using multiple sources of real-world data to assess the benefit-risk balance of advanced therapies in inflammatory bowel disease
This project aims to enhance treatment decision-making for inflammatory bowel diseases by linking real-world data sources to emulate clinical trials and develop a decision support system incorporating patient preferences.
Projectdetails
Introduction
Assessing the benefit-risk balance of treatment is crucial in medicine to select the most appropriate treatment for patients. This process faces major challenges, including how to implement evidence in real time to guide treatment choice and how to summarize efficacy and safety outcomes to patients and clinicians while incorporating patient preferences.
Background on Inflammatory Bowel Diseases
Inflammatory bowel diseases (IBD) affect 3 million residents in Europe. New advanced therapies have been recently approved, but in the absence of head-to-head randomized controlled trials (RCT), data are lacking to position each drug in the therapeutic management.
Real-World Data Sources
Multiple types of real-world data (RWD) sources are available to assess the effect of treatment, but each type has its proper strengths and limitations. Linking multiple RWD sources can overcome limitations and leverage the strengths of each data source.
Previous Work
We recently emulated clinical trials supporting the use of RWD to assess treatment effectiveness and safety in IBD. Based on the linkage of nationwide healthcare databases, electronic health records, and a prospective cohort of IBD patients, the aims of the current proposal are:
- To validate algorithms identifying IBD characteristics and outcomes in nationwide healthcare databases.
- To emulate head-to-head clinical trials comparing advanced therapies in IBD.
- To incorporate trial findings and patient preferences in a clinical decision support system for IBD patients and clinicians, whose impact will be assessed by a pragmatic RCT nested in nationwide healthcare databases.
Project Scope
This challenging project will involve multi-disciplinary aspects, from qualitative approaches to artificial intelligence, to clarify the position of each treatment in IBD and disseminate findings to patients and clinicians.
Societal Impact
Besides scientific importance, it will have societal impact by setting the stage for a novel post-marketing drug surveillance framework applicable not only to future IBD treatments but also to other chronic diseases.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.473.454 |
Totale projectbegroting | € 1.473.454 |
Tijdlijn
Startdatum | 1-12-2024 |
Einddatum | 30-11-2029 |
Subsidiejaar | 2024 |
Partners & Locaties
Projectpartners
- SORBONNE UNIVERSITEpenvoerder
- ASSISTANCE PUBLIQUE HOPITAUX DE PARIS
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Therapeutic discovery for Inflammatory Bowel DiseaseThe project aims to develop a first-in-class therapeutic for Inflammatory Bowel Disease (IBD) using novel molecules, validated through proof-of-concept studies in mouse models to improve patient outcomes. | ERC Proof of... | € 150.000 | 2023 | Details |
Genetically anchored drug target discovery for neglected diseasesGenDrug aims to develop innovative algorithms integrating genomic and real-world data to identify drug targets and accelerate drug development for neglected non-communicable diseases. | ERC Starting... | € 1.498.089 | 2024 | Details |
Microbiome-based diagnostics and therapeuticsThis project aims to develop microbiome-based diagnostic and therapeutic products by leveraging multi-omics data to identify predictive bacterial strains for disease onset and progression. | ERC Proof of... | € 150.000 | 2023 | Details |
Contextual specification of fibroblast-driven causalities in chronic intestinal inflammation and fibrosisThis project aims to elucidate the role of specific fibroblast subsets in inflammatory bowel disease using single-cell analysis to inform therapeutic strategies and enhance understanding of disease mechanisms. | ERC Advanced... | € 2.411.000 | 2022 | Details |
Innovative mucus secretion stimulation for inflammation control in Inflammatory Bowel DiseaseThe project aims to pharmacologically induce intestinal mucus production in preclinical mouse models of IBD to achieve sustained remission, addressing the need for non-immunosuppressive treatments. | ERC Proof of... | € 150.000 | 2024 | Details |
Therapeutic discovery for Inflammatory Bowel Disease
The project aims to develop a first-in-class therapeutic for Inflammatory Bowel Disease (IBD) using novel molecules, validated through proof-of-concept studies in mouse models to improve patient outcomes.
Genetically anchored drug target discovery for neglected diseases
GenDrug aims to develop innovative algorithms integrating genomic and real-world data to identify drug targets and accelerate drug development for neglected non-communicable diseases.
Microbiome-based diagnostics and therapeutics
This project aims to develop microbiome-based diagnostic and therapeutic products by leveraging multi-omics data to identify predictive bacterial strains for disease onset and progression.
Contextual specification of fibroblast-driven causalities in chronic intestinal inflammation and fibrosis
This project aims to elucidate the role of specific fibroblast subsets in inflammatory bowel disease using single-cell analysis to inform therapeutic strategies and enhance understanding of disease mechanisms.
Innovative mucus secretion stimulation for inflammation control in Inflammatory Bowel Disease
The project aims to pharmacologically induce intestinal mucus production in preclinical mouse models of IBD to achieve sustained remission, addressing the need for non-immunosuppressive treatments.
Vergelijkbare projecten uit andere regelingen
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Insight into Drug Distribution and Local Concentration using Multispectral Imaging of Fluorescent Drugs in Inflammatory Bowel DiseasesmsGUIDE aims to enhance IBD treatment through a novel imaging technology that quantifies drug distribution and targets specific cells for personalized medicine and real-time monitoring. | EIC Pathfinder | € 4.027.964 | 2022 | Details |
Digitale transformatie data acquisitie en verwerking van klinische onderzoekenTherapySelector ontwikkelt een AI-gestuurde oplossing om het selectieproces van medische publicaties te versnellen en te digitaliseren, met als doel persoonsgericht medicatievoorschrijven te verbeteren. | Mkb-innovati... | € 20.000 | 2021 | Details |
Onderzoek naar AI-based second opinionHet project onderzoekt de haalbaarheid van een AI-platform voor optimale kankerbehandelplannen via geüploade patiëntdata. | Mkb-innovati... | € 20.000 | 2023 | Details |
AI to render the best clinical trial design for a novel RNA therapy.Het ANTENA-project ontwikkelt een AI-platform om de optimale klinische studiepopulatie voor een nieuwe RNA-medicatie te identificeren, met als doel kosten en risico's van klinische proeven te verlagen. | Mkb-innovati... | € 199.700 | 2023 | Details |
Primaire zorg: van routinematige naar datagedreven en zelflerende zorgHet project onderzoekt de haalbaarheid van een beslisondersteuningstool voor primaire zorg in India, gericht op het optimaliseren van zorg door het gebruik van Real World data. | Mkb-innovati... | € 20.000 | 2021 | Details |
Insight into Drug Distribution and Local Concentration using Multispectral Imaging of Fluorescent Drugs in Inflammatory Bowel Diseases
msGUIDE aims to enhance IBD treatment through a novel imaging technology that quantifies drug distribution and targets specific cells for personalized medicine and real-time monitoring.
Digitale transformatie data acquisitie en verwerking van klinische onderzoeken
TherapySelector ontwikkelt een AI-gestuurde oplossing om het selectieproces van medische publicaties te versnellen en te digitaliseren, met als doel persoonsgericht medicatievoorschrijven te verbeteren.
Onderzoek naar AI-based second opinion
Het project onderzoekt de haalbaarheid van een AI-platform voor optimale kankerbehandelplannen via geüploade patiëntdata.
AI to render the best clinical trial design for a novel RNA therapy.
Het ANTENA-project ontwikkelt een AI-platform om de optimale klinische studiepopulatie voor een nieuwe RNA-medicatie te identificeren, met als doel kosten en risico's van klinische proeven te verlagen.
Primaire zorg: van routinematige naar datagedreven en zelflerende zorg
Het project onderzoekt de haalbaarheid van een beslisondersteuningstool voor primaire zorg in India, gericht op het optimaliseren van zorg door het gebruik van Real World data.