Check out the latest preprint of the iHEART group on fast and robust parameter estimation with uncertainty quantification for the #heart and the cardiovascular system by means of #NeuralNetworks arxiv.org/abs/2210.03012 Matteo Salvador Francesco Regazzoni Luca Dede' Alfio Quarteroni

Check out our latest article by Pasquale Africa, lead software developer of the #iHEART project, on the #lifex library. doi.org/10.1016/j.soft… The core of #lifex is now publicly available as open-source code! lifex.gitlab.io/lifex/ #finiteelement #software #opensource

Hot off the press! Our recent article "Fast and robust parameter estimation with #uncertainty #quantification for the #cardiac function" has been published on COMPUT METH PROG BIO! 📚Paper doi.org/10.1016/j.cmpb… 💻Open-access library github.com/MatteoSalvador…

How would you like to make your #cardiac #electrophysiology #simulations faster? Check out our matrix-free solver accelerated by #vectorization and sum #factorization, just published on Journal of Computational Physics! doi.org/10.1016/j.jcp.…

Excited to present Latent Dynamics Networks (#LDNets), a new class of #neural #networks that learn intrinsic space-time dynamics ✅accurate (outperforming state-of-the-art methods!) ✅efficient ✅lightweight ✅not prone to #overfitting 📖preprint: researchgate.net/publication/37…

📢We are excited to announce the release of lifex-ep for #cardiac #electrophysiology #simulations ✅cutting-edge models ✅exceptional parallel speedup ✅publicly available software ✅user-friendly 📚preprint: researchgate.net/publication/37… 💻software: lifex.gitlab.io/ep.html

.Francesco Regazzoni et al. at MOX Laboratory Politecnico di Milano propose Latent Dynamics Networks, a new method that outperforms existing approaches in learning the space-time dynamics of evolutive systems #AppliedPhysics #Network #DynamicsNetwork nature.com/articles/s4146…

Our paper on real-time whole-heart electromechanical simulations is finally out in #npj #Digital #Medicine! This is an important step forward in #computational #cardiology for the creation of #digital #twins. Paper: nature.com/articles/s4174… Code: github.com/MatteoSalvador…

Our paper on #digital #twinning of #cardiac #electrophysiology for #congenital #heart #disease is out in the Journal of the #Royal #Society #Interface! Paper: royalsocietypublishing.org/doi/10.1098/rs… Code: github.com/StanfordCBCL/B…