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Computational Sciences for Biology, Medicine and the Environment
Today, medicine, agronomy, biology, and life and environmental sciences all use mathematical and computing models to simulate and analyse complex situations and phenomena. Working closely with researchers from these disciplines, Inria’s teams are developing models that can be used to analyse evolution scenarios, assess risks, and assist with diagnostics and treatment.
Observation and Modeling for Environmental Sciences
- ANGE - Numerical Analysis, Geophysics and Ecology
- CLIME - Coupling environmental data and simulation models for software integration
- FLUMINANCE - Fluid Flow Analysis, Description and Control from Image Sequences
- MAGIQUE-3D - Advanced 3D Numerical Modeling in Geophysics
- MOISE - Modelling, Observations, Identification for Environmental Sciences
- POMDAPI - Environmental Modeling, Optimization and Programming Models
- SAGE - Simulations and Algorithms on Grids for Environment
- STEEP - Sustainability transition, environment, economy and local policy
Observation, Modeling, and Control for Life Sciences
- BANG - Nonlinear Analysis for Biology and Geophysical flows
- BIGS - Biology, genetics and statistics
- BIOCORE - Biological control of artificial ecosystems
- CARMEN - Modélisation et calculs pour l'électrophysiologie cardiaque
- DRACULA - Multi-scale modelling of cell dynamics : application to hematopoiesis
- MACS - Modeling, analysis and control in computational structural dynamics
- MASAIE - Tools and models of nonlinear control theory for epidemiology and immunology
- MODEMIC - Modelling and Optimisation of the Dynamics of Ecosystems with MICro-organisme
- NUMED - Numerical Medicine
- REO - Numerical simulation of biological flows
- SISYPHE - SIgnals and SYstems in PHysiology & Engineering
- VIRTUAL PLANTS - Modeling plant morphogenesis at different scales, from genes to phenotype
Computational Biology and Bioinformatics
- ABS - Algorithms, Biology, Structure
- AMIB - Algorithms and Models for Integrative Biology
- BAMBOO - An algorithmic view on genomes, cells, and environments
- BEAGLE - Artificial Evolution and Computational Biology
- BONSAI - Bioinformatics and Sequence Analysis
- DYLISS - Dynamics, Logics and Inference for biological Systems and Sequences
- GENSCALE - Scalable, Optimized and Parallel Algorithms for Genomics
- IBIS - Modeling, simulation, measurement, and control of bacterial regulatory networks
- MAGNOME - Models and Algorithms for the Genome
- MORPHEME -
- SERPICO - Space-timE RePresentation, Imaging and cellular dynamics of molecular COmplexes
Computational Medicine and Neurosciences
- ARAMIS - Algorithmes, modèles et méthodes pour les images et les signaux du cerveau humain sain et pathologique
- ASCLEPIOS - Analysis and Simulation of Biomedical Images
- ATHENA - Computational Imaging of the Central Nervous System
- CORTEX - Neuromimetic intelligence
- DEMAR - Artificial movement and gait restoration
- GALEN - Organ Modeling through Extraction, Representation and Understanding of Medical Image Content
- MNEMOSYNE - Mnemonic Synergy
- NEUROMATHCOMP - Mathematical and Computational Neuroscience
- ORCHESTRON - Orchestron : from neuronal rhythms to rhythmic brain functions
- PARIETAL - Modelling brain structure, function and variability based on high-field MRI data.
- SHACRA - Simulation in Healthcare using Computer Research Advances
- VISAGES - Vision, Action and information manaGement System in health
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By field
- Applied Mathematics, Computation and Simulation
- Algorithmics, Programming, Software and Architecture
- Networks, Systems and Services, Distributed Computing
- Perception, Cognition, Interaction
- Computational Sciences for Biology, Medicine and the Environment
