Samuel Ruiperez-Campillo
@sruiperez98
MSc. @ETH_en. @UCBerkeley M.Eng., and researcher in cardiac signal processing at @Stanford. Classical music lover. Tweets mine.
ID: 1446515716602007553
https://web.stanford.edu/group/narayanlab/cgi-bin/wordpress/lab-personnel/ 08-10-2021 16:40:03
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#epeeps novel #AI approach to “learn” normal and abnormal Electrical shapes in signals recorded over time to predict #VT or #VF. Amazing work Maarten Kolk Fleur Tjong David Ouyang, MD Peter Noseworthy, MD NataliaTrayanova Boyuan Chen Sumeet Chugh David E. Albert, M.D
🤩Thanks! In this exciting new work in which we explore new territory of using dynamic prediction entailing #variational #autoencoders to capture time varying risk of #ventriculararrhythmias using #ECG signals! Outstanding work Maarten Kolk Samuel Ruiperez-Campillo ✨✨ eBioMedicine – The Lancet Discovery Science
3rd highlight from Jan issue Maarten Kolk Sanjiv Narayan Fleur Tjong Reinoud Knops Samuel Ruiperez-Campillo Brototo Deb (Brodie), MD, MIDS, they/them Arthur de Wilde Ivana Isgum Erik Bekkers Present a ML model that provides updated predictions, leveraging electrocardiograms recorded over time. Read bit.ly/41ZDBHQ
Join us for the first #DigitalHealth / #AI session at #EHRA2024 #Epeeps ! David Duncker JK Han MD Emma Svennberg Vivek Y. Reddy Sanjiv Narayan 🤖🦾 Moderated ePosters 2
Thank you 🙏#EHRA2024 you were great! 💥What a pleasure to do so many exciting, cutting edge #AI research projects with this amazing team! So proud 😍 Maarten Kolk Samuel Ruiperez-Campillo Reinoud Knops Sanjiv Narayan #EPeeps
#AtrialSignals Sanjiv Narayan will talk about “How to find extra-PV drivers during AF” Abstract deadline 9 May! Register NOW! 👉 atrialsignals.nl I'MCARIM Sanjiv Narayan Dominik Linz Kevin Vernooy AFNET Deutsche Gesellschaft für Kardiologie Young@Heart DZHK Germany Hartstichting Young DGK
Great presentation Maarten Kolk on Multimodal #ExplainableAI “Deep Risk” for VA risk prediction in NICM patients!! Congratulations for leading such a piece of science with Fleur Tjong Sanjiv Narayan et al. Stanford Department of Medicine Cardiac Devices research Amsterdam ETH Zurich #hrs2024
Excited to be the face of #esc2024 in London! Looking forward to the latest CV advances and debates with cardiology pioneers. Let's make it a great one! ❤️🩺 #cardiology #cardiovascular Sanjiv Narayan Jose Luis Merino Ruben Casado Arroyo José Millet Roig Fleur Tjong European Society of Cardiology EHRAPresident
RT European Society of Cardiology Four days packed w/ the latest CV advancements, original science, debates, & discussions. Only at #ESCCongress There’s one week left to get the best deal! Early registration fee deadline: 31 May 👉 bit.ly/3URmJQe Samuel Ruiperez-Campillo #ESCAbstract #cardiolog ...
Ready to present some advances of Deep Learning for Intra Cardiac Signal Processing at #IEEE #embc24 ETH Zurich Stanford Department of Medicine Sanjiv Narayan #juliavogt Prasanth Ganesan Ruibin Feng Fleur Tjong Maarten Kolk et al.
Thrilled to share that I'll be joining the core team of eCardiology at European Society of Cardiology starting September 2024! Can't wait to bring the power of AI and engineering to the forefront of cardiology innovation. Let's revolutionize eCardiology together! EHRAPresident ESC President
Delighted to have discussed using generative AI for substrate mapping in I. cardiomyopathy at the 46th #IEEE #EMBC in Orlando, FL, during the #deeplearning for #diagnostics session. Thanks to Sanjiv Narayan and #Julia_Vogt for their exceptional guidance! ETH Zurich Stanford Medicine
Great discussion by James Zou on the cutting-edge applications of LLMs in biology and their potential to revolutionize clinical research at CGSI-The Computational Genomics Summer Institute '24. Stanford University Stanford Department of Medicine Sanjiv Narayan Julia Vogt UCLA #LLM #ML_Medicine
How can we leverage large datasets within the data addition dilemma? What about the translation of LLMs to healthcare settings? Great insights by Irene Chen from Berkeley AI Research UC Berkeley at CGSI-The Computational Genomics Summer Institute. #ML4H #LLMs UCLA Julia Vogt James Zou Sanjiv Narayan