- Recherche,
- International,
- Formation,
Abstract - Keynote séminaire interdisciplinaire - Pr PA Gourraud, PhD MPH, ITUN - CRTI - UMR Inserm 1064 University of Nantes – Nantes University Hospitals, France
The Multiple Sclerosis Bioscreen: Beyond genetics, a precision medicine platform integrating genomic, clinical and imaging data for complex diseases
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.
Short Bio
Pierre-Antoine Gourraud is Professeur des Universités Praticien-Hospitalier of the School of Medicine of the Nantes University in France and associate professor at the Department of Neurology of the University of California at San Francisco (UCSF), USA. He is a former student of the Ecole Normale Supérieure de Lyon, France in the department of molecular and cellular Immunobiology.
Prof. Gourraud has developed bioinformatics tools for the study of immunogenetic markers at the NCBI, he performed numerous genetic association studies on various diseases (rheumatoid arthritis, multiple sclerosis, and leukaemia), and he conducted population genetics analyses of European populations (HLA and KIR genes). He developed software dedicated to statistical genetics and designed an algorithm to support decision making for the treatment of haematological diseases and management of Bone Marrow Donor Registries in France and in the US.
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.
Short Bio
Pierre-Antoine Gourraud is Professeur des Universités Praticien-Hospitalier of the School of Medicine of the Nantes University in France and associate professor at the Department of Neurology of the University of California at San Francisco (UCSF), USA. He is a former student of the Ecole Normale Supérieure de Lyon, France in the department of molecular and cellular Immunobiology.
Prof. Gourraud has developed bioinformatics tools for the study of immunogenetic markers at the NCBI, he performed numerous genetic association studies on various diseases (rheumatoid arthritis, multiple sclerosis, and leukaemia), and he conducted population genetics analyses of European populations (HLA and KIR genes). He developed software dedicated to statistical genetics and designed an algorithm to support decision making for the treatment of haematological diseases and management of Bone Marrow Donor Registries in France and in the US.
Dates
Créé le 8 février 2021