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We have reviewed the topic of "Biological #network analysis with #DeepLearning" in Briefings in Bioinformatics. Great work by Giulia Muzio and Leslie O'Bray! #MachineLearning #Bioinformatics #DataScience Oxford Journals @AGKBorgwardt academic.oup.com/bib/advance-ar…

Our most important #COVID19 work so far: Sarah Brüningk Juliane Klatt & @MadStange examined determinants of SARS-CoV-2 transmission in a city, which could guide vaccination strategies. Spearheaded by AppliedMicrobiologyResearch, w/ H. Hirsch & UniSpitalBaselCH D-BSSE, ETH Zurich medrxiv.org/content/10.110…

One week to go until the #MLFPM_wintersymposium! Our exciting speakers on March 11: Fabian Theis, Mathias Niepert, Prof. Natasa Przulj, PhD, MAE, FBCS, Michael Bronstein, dana_peer & David Sontag. All talks will be live on YouTube, no registration needed. ℹ️mlfpm.eu/events/mlfpm-w…

The talks of our #MLFPM_wintersymposium are now online: youtube.com/playlist?list=… Thanks to our great speakers Fabian Theis, Mathias Niepert, Prof. Natasa Przulj, PhD, MAE, FBCS, Michael Bronstein, dana_peer and David Sontag for allowing us to share their talks! Enjoy watching! #MSCA #H2020 #EUfunded

We'll be hosting a #D-BSSE eSymposium on #MachineLearning in #Medicine tomorrow (June 1, 15:30 CEST) and you can watch it for free on Zoom. Link on: bsse.ethz.ch/news-and-event… D-BSSE, ETH Zurich @AGKBorgwardt Patrick Schwab Michal Rosen-Zvi

Do you wanna learn about the role of #machinelearning in #precisionmedicine? Come visit us at our #Scientifica booth. @AGKBorgwardt D-BSSE, ETH Zurich ETH Zurich University of Zurich Schweizerischer Nationalfonds (SNF) MLFPM ITN

Our lab is participating in #Scientifica21 today. Come and visit our booth scientifica.ch/ausstellungen/… and learn about #PersonalizedMedicine. Can you beat the highscore in our game?

Very informative and extremely well done: D-BSSE research at #Scientifica 😊 Until tomorrow > bsse.ethz.ch/news-and-event…

A lovely #farewell dinner on the last evening of the #MLFPM_ESRretreat after 4 days of #Hardwork and #fun. Krista Fischer Giulia Muzio Bowen Fan lucasmiranda42 @gio_viso Pelin G. Emese Sükei NMM Pradeep Eranti | @peranti@{genomic|bsky}.social Christopher Heje Grønbech Vesna Barros

Karsten Borgwardt Bowen Fan NMM Pradeep Eranti | @peranti@{genomic|bsky}.social Christopher Heje Grønbech Vesna Barros Team 2: Giulia Muzio lucasmiranda42 @gio_viso Pelin G. Emese Sükei tackled the #hackathon problem using #MultiModalLearning enabling zero-shot prediction of #AMR.

Register (for free) for our in-person symposium on "#MachineLearning Frontiers in #PrecisionMedicine" in Munich on October 18 & 19. Registration closes Sunday Oct 9: forms.gle/wH9MVF3Z6rB2xB… Speakers incl. Julia Schnabel Nikolaos Koutsouleris Michal Rosen-Zvi Joaquin Dopazo Jean-Philippe Vert Volker Tresp

And here the go! #mlfpm_symposium2022

Concluding our wonderful #MLFPM meeting with an excursion to lake Chiemsee and a tour through the royal palace of Herrenchiemsee

20 students from across Switzerland took part in our PhD Training Network Retreat on 10-12 October in Fribourg! Fruitful learnings with Frédéric Schütz @[email protected] from the Biostatistics Platform (BIOS) @UNIL on making the most of data visualization in presentations! #bioinformatics #dataviz

Giulia Muzio ETH Zürich presents an interesting combination of network analysis and #MachineLearning to make sense of GWAS data at the Universidad Intern. de Andalucía workshop "Frontiers in AI in health care". #ArtificialIntelligence ETH Zurich Karsten Borgwardt MLFPM ITN

Poster session in the beautiful venue of the Universidad Intern. de Andalucía workshop "Frontiers in AI in health care". #ArtificialIntelligence Fundación Progreso y Salud InstitutoRoche INB / ELIXIR-ES

📢New #MLFPM publication!

PhD students have a real thirst for training in the creative side of scientific processs as much as in its hypothesis-testing side! We had so much fun doing our Night Science workshop at ETH Zurich in Basel last week! Martin Lercher D-BSSE, ETH Zurich

New paper accepted at #ISMB with Giulia Muzio and @AGKBorgwardt! We develop a new pattern mining algorithm, which exploits biological priors to shape its search space, for discovering genetic markers that are statistically associated with a phenotype. academic.oup.com/bioinformatics…

Our work on #LongCovid 🩸 is now out in Science Magazine! We found increased complement activation and markers of thromboinflammation in patients with active Long Covid. 1/ doi.org/10.1126/scienc…