HeartKOR

🚀 New Paper Alert! 🚀 We're excited to share that our team has just published a new paper showcasing Ithildin—an open-source C++ library for efficient and parallelized simulations of excitable media. 🖥️⚡ In this study, we demonstrate the versatility of Ithildin in cardiac electrophysiology simulations, covering key protocols like the S1S2 protocol, spiral break-up, and even spiral waves in ventricular geometry. 🫀🔄 Congratulations to our HeartKOR members Desmond Kabus, Marie Cloet, and Hans Dierckx, alongside co-authors Christian Zemlin and Olivier Bernus for their work! 💪 Check out the full paper and access the code—open science for the win! 🔓✨ https://lnkd.in/eQjbvSeD #CardiacResearch #OpenScience #ParallelComputing #HeartKOR

🚨 New Publication Alert! 🚨 Congrats to PhD candidate Nathan Dermul and prof. Hans Dierckx on their latest paper titled "Reconstruction of excitation waves from mechanical deformation using physics-informed neural networks". 🫀 In this proof-of-concept study, they utilize Physics-Informed Neural Networks, a recent methodology at the intersection of machine learning and physical modeling, to tackle the cardiac inverse problem of finding the underlying electrical activation pattern from mechanical deformation data (such as echocardiography). The results demonstrate accurate reconstructions, even under challenging circumstances such as high noise or low-resolution/sparseness. 📈 These findings highlight the potential of this methodology to image cardiac electrical waves non-invasively in a safe and fast manner and can thus help to improve the diagnosis and treatment of cardiac arrhythmias. Check out the full study for a deeper dive into this research. 🔗 https://lnkd.in/eVDT2nv8 #CardiacResearch #NeuralNetworks #InnovationInHealth #HeartKOR

How can we help cardiologists to make more informed decisions? 👩🏾⚕️ 👨🏼⚕️ Nowadays, many clinical tools are around that rely on software. The output of this software needs to be as accurate as possible, while not loosing the interpretability for the clinical staff that uses it. For example, a software could tell the cardiologist how sure it is of its outcome. To include this "uncertainty", we can use so-called Bayesian inversion techniques. In our research, we came up with a proof of concept that apply these inversion techniques to a simplified clinical setting, representing an arrhythmia sustained by scarred cardiac tissue. In the light of the research day at KU Leuven Campus Kulak Kortrijk, I made a poster and pitch presenting this research project. The pitch is aimed to be understandable for a broader scientific audience, so be my guest and check it out! 👇 For the research part I worked closely together with Maarten Volkaerts and I got great advise from my (co)supervisors Hans Dierckx, Giovanni Samaey and Piet Claus. #heartKOR #KULeuvenKulak #ScienceOutreach #ScienceIsAwesome #WomenInScience #fwovlaanderen

Laat de kracht van wetenschap de student van de toekomst verwonderen! ⚛ Dit jaar mochten we opnieuw een aula vol vijfde- en zesdejaars ontvangen voor een Junior College. 👨🎓 👩🎓 Ze maakten kennis met de wiskundige kant van ons hart en ontdekten zelfs een link met deeltjesfysica in de bio-wetenschappen. 🤯 Hopelijk werden ze geïnspireerd om een STEM studierichting te kiezen en zien we hen volgend jaar terug op onze campus KU Leuven Campus Kulak Kortrijk! 🏫 #outreach #juniorcollege #education #stem #heartkor

🚀 Kicking of the year with exciting research! 🚀 Thrilled to share the groundbreaking work of our team member, Desmond Kabus! 🌟 His paper, "Fast creation of data-driven low-order predictive cardiac tissue excitation models from recorded activation patterns," is our New Year's present to the world of cardiac modeling. 🫀🔬 In a nutshell, the paper demonstrates that recorded movies at the tissue level can be used to swiftly generate reliable mathematical models for cardiac tissue excitation. 🫀🎥➡️📊 By leveraging exponentially weighed moving averages and polynomial regression, a rapid and efficient pipeline for creating in-silico models is unlocked. 🔄💻 Indeed, this method takes just a few minutes! 🕒⚡️ Congrats to Desmond and co-authors, Tim De Coster, Antoine A.F. De Vries, Daniël A. Pijnappels and Hans Dierckx! 👏 #HeartKOR #CardiacModeling #ResearchInnovation #DigitalTwins #DataDrivenScience Check out the paper here 🔓 : https://lnkd.in/ewRuHRw6

When the forces in our research group unite... 👇