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Prediction of response to systemic treatments in hepatocellular carcinoma – SYSTHEC
Background: The combination of immunotherapy (atezolizumab) and anti-angiogenic antibody (bevacizumab) is the standard of care in first line for advanced hepatocellular carcinoma (HCC) whereas tyrosine kinase inhibitors such as sorafenib/lenvatinib are used in second line. However, only a subset of
Predictive Boolean Network Ensembles – BNeDiction
Bridging the gap between dynamical systems and their partial observation, computational models of biological processes aim at uncovering key mechanisms driving cellular dynamics, and ultimately predict their behaviour under unobserved conditions. Computational models of molecular interaction networ
Predictive Modeling of Plant Gene Expression via AI Analysis of Phase Separation and Chromatin Structure – PlantSCAPE
Meeting the nutritional needs of a global population that is expected to increase by 2.4 billion people over the next thirty years represents a major challenge for agriculture. This growth will require a significant increase in agricultural productivity, while taking into account the growing impacts
Preprocessing Information for Nontrivial Goals / Advanced Compilation of Knowledge – PING-ACK
The main objective of the PING/ACK project is to contribute to the development of the research field known as knowledge compilation, extending its scope on both the theoretical side to the practical side. In a nutshell, we plan to define new knowledge compilation maps suited to more expressive repre
Previsualisation technologies for the movie industry – CineViz
The goal of this joint laboratory named Cineviz is to propose the Film industry a set of new previzualisation tools that (i) ease the creation of cinematographic sequences in virtual environments before the shooting (previzualisation stage or previs), and (ii) prepare the technical implementation of
Probabilistic and infinite dimensional control via optimization and kernels – PIVOINE
This project aims to control systems with high model complexity, emerging from physics (PDEs) or from uncertainty quantification (stochastic processes), or both. Motivation: A common denominator to the environmental crisis and the aritificial intelligence (AI) revolution lies in the need for safel
Probabilistic prediction Of Extreme weather events based on ai/physics SYnergy – POESY
The POESY project aims at improving the probabilistic prediction of high-impact weather (HIW) events with an innovative combination of standard physical modelling approaches and computationally-efficient Artificial Intelligence (AI) methods. Probabilistic prediction currently takes the form of small
Processable intelligEnt Colloids for MucoSal Drug Delivery – PECSDDeli
The project aims at developing a mucosal drug delivery nano system simple to administer and to manufacture, based on safe, biodegradable and biocompatible polysaccharides. So the two major objectives of this project are : i) to design a green and scalable process of manufacturing colloidal delivery
Producing Alternative Sustainable food bio-based PACKaging from Mediterranean agri-food by-products and waste – PASPACK 4.0
PASPACK 4.0 aims to produce an innovative and sustainable bio-based food packaging from Mediterranean agri-food by-products and waste, especially pomegranate (peel and seeds) and dates (date pits, molasses), to contribute to addressing the dilemma of food waste and the overuse of plastic in food pac
Prognostics and Health Management of Proton Exchange Membrane Fuel Cells (PEMFC) Systems – PROPICE
Fuel Cell Systems (FCS) appear nowadays to be a promising and alternative energy source to face economic and environmental challenges of modern society. However, even if this technology is close to being competitive, it is not yet ready to be considered for large scale industrial deployment: FCS sti
