🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

"Bridging the Gap: from Machine Learning Research to Clinical Practice" - the Research2Clinics workshop at #NeurIPS2021 Website & CfP: sites.google.com/g.harvard.edu/… Submit by Sep 17 AoE & join us on Dec 14 for thought-provoking conversations with experts from ML + clinics💡

Prospective PhD students: the deadline for applications for fellowships in the Max Planck ETH Center for Learning system is in a few weeks. Ad video with ETH Zurich students here: learning-systems.org/apply. Please consider applying here: learning-systems.org/apply.

The idea behind rETHink is to cement the university’s position as a world-leading institution. President Joël Mesot, Vice President Julia Dannath and transformation coach Dieter Schmid reflect on ingrained habits & inspiring moments. #GlobeMagazin 21/04. ethz.ch/en/news-and-ev…

We are looking for a postdoctoral researcher in machine learning with medical applications at the Medical Data Science Group at ETH Zurich! More details can be found here: jobs.ethz.ch/job/view/JOPG_…

We are looking forward to your submissions and hope to encourage a lively discussion on time series representation learning in the context of medical applications! #TSRL4H at ICLR'23 (ICLR 2026)

Learn about data👩🏾‍💻 + AI 🤖 + health 👩🏻‍⚕️ from some of ETH AI Center 's faculty and fellows Alexander Marx | a-marx.bsky.social Julia Vogt #hybrid #workshop #DataScience #ArtificialIntelligence

We opened our OpenReview page for submissions! ICLR 2026 #medicalAI Link: openreview.net/group?id=ICLR.…

📢 The complete schedule for our upcoming #TSRL4H workshop is now available! Join us for inspiring invited talks, orals, and a virtual poster session on GatherTown! #ML4H #TSRL4H #ICLR2023 1/3 🧵 📅 Friday, May 5th 2023 sites.google.com/view/tsrl4h-ic…

So happy to announce NeurIPS Conference 2023 will be hosting our workshop on Deep Generative Models for Health! 🚀Looking forward to this exciting event, and to your submissions! 🤖💊

Thank you to Dr. Julia Vogt (Julia Vogt) from ETH Zurich, for visiting the Department of AI and Human Health and for her presentation on “Machine Learning and Medicine: A Challenging Symbiosis” as part of AI & Human Health Seminar series.

Tomorrow we will present our work „Effective Bayesian Heteroscedastic Regression with DNNs“ at #NeurIPS2023. Find us at poster #702! 📆 Wed 17:00 (#702) 📄 openreview.net/forum?id=A6Equ…

New Research: Blood glucose forecasting from temporal and static information in children with T1D: Background The overarching goal of blood glucose forecasting is to assist individuals with type 1 diabetes (T1D) in avoiding hyper- or… frontiersin.org/articles/10.33… #Pediatrics

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 are interpretability and interveneability enhancing healthcare outcomes? Julia Vogt discussed concept bottleneck models at CGSI-The Computational Genomics Summer Institute, highlighting their role in transparency and tool development, translating ML into clinical practice. ETH Zurich #D_INFK_ETHz UCLA