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'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…

Bridging genome editing, protein engineering, and applied machine learning in biology: Great to see our latest study, spearheaded by Kim Fabiano Marquart, out today in Nature Methods. Check out the paper! 🧬💻 UZH Science Gerald Schwank Krauthammer Lab nature.com/articles/s4159…

TnpB ist viel kleiner als die bekannte «Genschere» CRISPR-Cas. Nun wurde das Tool zur gezielten Veränderung des Genoms so verbessert, dass es dereinst zur Behandlung eines Gendefekts eingesetzt werden könnte, der zu einem lebenslang stark erhöhten Cholesterinspiegel führt.

TnpB is much smaller than the well-known CRISPR-Cas "gene scissors". The tool for targeted modification of the genome has now been improved to such an extent that it could one day be used to treat a genetic defect that leads to a lifelong high cholesterol level.

Our TnpB story has been published in Nature Methods 🚀 Check out the thread by Gerald Schwank to dive right in.

If you're more of a visual learner, this explainer video is for you 🙌

Check the Nature Methods research briefing associated with our latest study on TnpB for effective genome editing nature.com/articles/s4159…

Our latest collab with Gerald Schwank is out today! "Effective genome editing with an enhanced ISDra2 TnpB system and deep learning-predicted ωRNAs" nature.com/articles/s4159… Congrats to all authors & collaborators!👏🎉 Kim Fabiano Marquart Amina Mollaysa Department of Quantitative Biomedicine Unispital_USZ URPP Human Reproduction Reloaded | H2R

.Gerald Schwank and colleagues describe TnpB variants with increased activity and a broader targeting range, along with a deep learning model to predict ωRNA efficiency. Kim Fabiano Marquart Nicolas Mathis Amina Mollaysa Krauthammer Lab nature.com/articles/s4159…

And read the Research Briefing on the work here: nature.com/articles/s4159…

Bridging genome editing, protein engineering, and applied machine learning in biology: Great to see our latest study, spearheaded by Kim Fabiano Marquart, out in Nature Methods. Check out the paper! 🧬📷 nature.com/articles/s4159… Nicolas Mathis Gerald Schwank Krauthammer Lab

I am hiring a PhD student to join our team at the Medical Informatics at UZH and work on an exciting SNSF project starting early next year. SNF PhD position in Medical NLP Please share 👍🙌... jobs.uzh.ch/job-vacancies/… #uzh, #krauthammerlab

💫We are hiring a PhD student to join us and work on an exciting SNSF project starting early next year. "SNF PhD position in Medical Informatics with a Focus on Natural Language Processing" Please share 🙌 jobs.uzh.ch/job-vacancies/… Farhad Nooralahzadeh, PhD

🚀 Wrapping up 2024 with a bang! Check out our exciting ArXiv paper: "Explainable Multi-Modal Data Exploration in Natural Language via LLM Agent." 🌟 AI just got smarter and more accessible. Here's to 2025! 🎉 #Multimodality #AgenticAI #ExplainableAI #LLMs arxiv.org/abs/2412.18428

Our preprint "TAMER: A Test-Time Adaptive MoE-Driven Framework for EHR Representation Learning" is out! A great work by Yinghao Zhu Xiaochen Zheng 👏 Paper: arxiv.org/abs/2501.05661 #MachineLearning #Healthcare University of Zurich Department of Quantitative Biomedicine