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Conférence Neurospin

Lundi 19 février 2018 - 11h00, Amphi NeuroSpin
Centre d’études de Saclay
Gif-Sur-Yvette

« The Multiple Sclerosis Bioscreen : Beyond genetics, a precision medicine platform integrating genomic, clinical and imaging data for complex diseases »

 

Pierre-Antoine GOURRAUD, Université/Inserm Nantes

 

Abstract :

Multiple sclerosis (MS) is a chronic, debilitating disease of the central nervous system. MS affects approximately 2,3 million people worldwide and constitutes an example of a multi-factorial, complex condition. An increasingly difficult challenge for clinicians, researchers and patients is to collate and interpret diverse types of clinical and biologic data to track disease progression, forecast outcomes, and inform therapeutic decision-making. We present a precision medicine application developed for multiple sclerosis (MS) : the MS BioScreen. This new tool addresses the challenges of dynamic management of a complex chronic disease ; the interaction of clinicians and patients with such a tool illustrates the extent to which translational digital medicine - i.e. the application of information technology to medicine - has the potential to radically transform medical practice.

- METHODS : The scalability of the data stored on the platform, its very dynamic evolution and diverse nature (clinical and therapeutic data ; brain, spinal cord and eye imaging ; genetics ; biomarkers), as well as the continuous development of our algorithmic core requires a flexible architecture. On the back-end, our infrastructure is cloud-based and includes : a SQL database combined with a custom PACS (MRI imaging) installation ; AWS Elastic Computing resources ; and HTTP RESTful communications between the different services.

- RESULTS : The MSBioscreen front-end is currently an iPad app that gives clinicians access to tailored visualizations of an individual patient’s disease trajectory within an algorithmically-generated reference group, assessing the degree of progression severity in the context of similar patients. We introduce three key evolutionary phases in displaying data to health care providers, patients, and researchers : visualization (accessing data), contextualization (understanding the data), and actionable interpretation (real-time use of the data to assist decision-making).

- PERSPECTIVE : This project proposes a tractable road map to address the challenge of integrating health big data into an actionable tool for personalized medicine. Together these form the stepping-stones that are expected to accelerate standardization of data across platforms, promote evidence-based medicine, support shared decision-making, and ultimately lead to improved outcomes.

 


 

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