Krauthammer Lab
@krauthammerlab
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Clinical and translational informatics news from the lab of Michael Krauthammer | @UZH_en and @Unispital_USZ Ran by KLab members π©βπ»π¨βπ»
Joined April 2013
Our latest study "Machine learning prediction of prime editing efficiency across diverse chromatin contexts" is out @NatureBiotech! Shout out to our awesome collaborators @nicopmat @schwanklab @bvansteensellab and all (co)-authors π @UZH_Science @DQBM_uzh.
nature.com
Nature Biotechnology - A machine learning model for prime editing efficiency prediction takes into account chromatin context.
Our paper exploring the effect of chromatin on prime editing and diverse pegRNA designs was published today! π¨βπ»π§¬π.@UZH_Science @NatureBiotech @schwanklab @krauthammerlab @bvansteensellab .π§΅
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Our preprint "TAMER: A Test-Time Adaptive MoE-Driven Framework for EHR Representation Learning" is out! A great work by @yhzhu99 @XiaochenZheng3 π.Paper: #MachineLearning #Healthcare @UZH_en @DQBM_uzh.
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RT @farhadnz: π Wrapping up 2024 with a bang! Check out our exciting ArXiv paper: "Explainable Multi-Modal Data Exploration in Natural Langβ¦.
arxiv.org
International enterprises, organizations, or hospitals collect large amounts of multi-modal data stored in databases, text documents, images, and videos. While there has been recent progress in...
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Please RT and share widely! #MachineLearning #healthcare #phd #ArtificialIntelligence #biomedicine #oncology.
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ππ
π°πΆππΆπ»π΄ π£π΅π π’π½π½πΌπΏπππ»πΆππ πΆπ» ππ π³πΌπΏ π£πΏπ²π°πΆππΆπΌπ» π’π»π°πΌπΉπΌπ΄π in Our Lab! Candidate will work on AI-driven precision oncology, developing solutions that could revolutionize how we approach cancer treatment. Apply π
krauthammerlab.ch
The Krauthammer lab (at the University of Zurich) and the Wicki Lab (at the University Hospital of Zurich) are seeking a motivated PhD candidate to work on AI-driven research at the intersection of...
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RT @farhadnz: I am hiring a PhD student to join our team at the Medical Informatics at UZH and work on an exciting SNSF project starting eaβ¦.
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π«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 π. @farhadnz.
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RT @Amina_mollaysa: Bridging genome editing, protein engineering, and applied machine learning in biology: Great to see our latest study, sβ¦.
nature.com
Nature Methods - This work introduces engineered TnpBmax proteins with enhanced efficiency and an expanded targeting range. By leveraging an extensive dataset on editing efficiencies, it also...
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RT @naturemethods: And read the Research Briefing on the work here:.
nature.com
Nature Methods - Similarly to CRISPRβCas systems, TnpB proteins from bacterial transposons can be employed as RNA-guided endonucleases for genome editing. By combining rational protein design...
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RT @naturemethods: .@schwanklab and colleagues describe TnpB variants with increased activity and a broader targeting range, along with a dβ¦.
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RT @marquark: Our TnpB story has been published in @naturemethods π Check out the thread by @schwanklab to dive right in.
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RT @UZH_en: TnpB is much smaller than the well-known CRISPR-Cas "gene scissors". The tool for targeted modification of the genome has now bβ¦.
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RT @UZH_ch: TnpB ist viel kleiner als die bekannte Β«GenschereΒ» CRISPR-Cas. Nun wurde das Tool zur gezielten VerΓ€nderung des Genoms so verbeβ¦.
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RT @marquark: Check the @naturemethods research briefing associated with our latest study on TnpB for effective genome editing. https://t.coβ¦.
nature.com
Nature Methods - Similarly to CRISPRβCas systems, TnpB proteins from bacterial transposons can be employed as RNA-guided endonucleases for genome editing. By combining rational protein design...
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Our latest collab with @schwanklab is out today! "Effective genome editing with an enhanced ISDra2 TnpB system and deep learning-predicted ΟRNAs" Congrats to all authors & collaborators!ππ @marquark @Amina_mollaysa @DQBM_uzh @Unispital_USZ @UZH_H2R.
nature.com
Nature Methods - This work introduces engineered TnpBmax proteins with enhanced efficiency and an expanded targeting range. By leveraging an extensive dataset on editing efficiencies, it also...
Excited to share our latest study!.Today in @naturemethods the @schwanklab and @krauthammerlab report in @marquark et al. 'Effective genome editing with an enhanced ISDra2 TnpB system and deep learning-predicted ΟRNAs' (1/6).
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RT @nicopmat: Bridging genome editing, protein engineering, and applied machine learning in biology: Great to see our latest study, spearheβ¦.
nature.com
Nature Methods - This work introduces engineered TnpBmax proteins with enhanced efficiency and an expanded targeting range. By leveraging an extensive dataset on editing efficiencies, it also...
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Our work "Rethinking Molecular Design: Integrating Latent Variable and Auto-Regressive Models for Enhanced Goal Directed Generation" got accepted at the ICML 2024 Workshop AccMLBio! Great work by Arthur-Louis Heath and @Amina_mollaysa ππ!.ποΈ
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'Explainable deep learning for disease activity prediction in chronic inflammatory joint diseases' is now out in @PLOSDigiHealth @cecile_tt @CarolineOspelt ππ. Paper:
Our preprint "Explainable deep learning for disease activity prediction in chronic inflammatory joint diseases" is out! A great work by @cecile_tt and all collaborators @CarolineOspelt at @Unispital_USZ ππ!.Paper:.
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