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Yesterday was a big day for us: the first PhD graduate defended his thesis! Big congratulations to Dr. Schwarz Kyriakos Schwarz for the successful completion of his PhD defense. We are so proud! 🍾 Thesis topic: Deep learning in Computational Pharmacology Department of Quantitative Biomedicine University of Zurich #PhDone

Highly interesting discussions around the future of law in the age of #AI and #digital platforms by the University of Zurich University of Zurich at the “Zurich-Tokyo Science Evening”. Guests from the Japanese #government, #academia, #business and #media joined. Krauthammer Lab Kerstin Noëlle Vokinger

I saw the best minds of my generation fail to connect to eduroam

We tried to "Shazam" lung sounds to identify respiratory disease in children 🫁🔮 - Read our paper 📜 #DeepBreath in npj Digital Medicine : lnkd.in/evpMwVPG - Congrats to our phenomenal students at EPFL EPFL Computer and Communication Sciences @Hopitaux_unige - ❤️ BIG thank you to our little patients ❤️

Aaaaannnnnddddd... #GeMSS23 has started! Jes Frellsen Pierre-Alexandre Mattei

💫 One more job opportunity at our lab! 💻 NLP Engineer Interested? Read more about the role and apply 👇 linkedin.com/jobs/view/3656…

We break down a #neuralnetwork into a sequence of #modules 🌳-->🍃🍃🍃 to create #MoDN: #Modular #ClinicalDecisionSupport Networks lnkd.in/eFV_4jn4 Check out our publication in #PLOSDigitalHealth

"Modeling Complex Disease Trajectories using Deep Generative Models with Semi-Supervised Latent Processes" our latest work presented by Cécile Trottet Manuel S. at ML4H Congrats to all (co)-authors 👏 Preprint: arxiv.org/abs/2311.08149 Department of Quantitative Biomedicine UZH Science Unispital_USZ

Our preprint "Explainable deep learning for disease activity prediction in chronic inflammatory joint diseases" is out! A great work by Cécile Trottet and all collaborators @CarolineOspelt at Unispital_USZ 👏🎉! Paper: medrxiv.org/content/10.110…

Our latest study "Machine learning prediction of prime editing efficiency across diverse chromatin contexts" is out Nature Biotechnology! Shout out to our awesome collaborators Nicolas Mathis Gerald Schwank Bas van Steensel lab and all (co)-authors 👏 nature.com/articles/s4158… UZH Science Department of Quantitative Biomedicine

'Explainable deep learning for disease activity prediction in chronic inflammatory joint diseases' is now out in PLOS Digital Health Cécile Trottet @CarolineOspelt 👏🎉 Paper: doi.org/10.1371/journa…