#teamretreat Hello from the Bavarian Alps 👋 Team building activities, vision development and a hackathon are on our agenda: some days beyond the routine to rethink team work, to cook together, to listen to each other’s talks and all this surrounded by a splendid landscape!

REPO4EU partners in action 🦾 The @cosybio-uhh.bsky.social team recently hosted a workshop at @uni-hamburg.de to validate the AI-powered #DrugRepurposing workflows being developed by researchers from @daisybio.de, @univie.ac.at and @upm.es Learn more about our mission 💊 repo4.eu/the-platform/

🧬🖥️Drug response prediction is a machine learning challenge with immense potential for precision medicine. Our latest preprint introduces DrEval, a comprehensive benchmarking framework to evaluate state-of-the-art methods, uncover widespread issues, and guide the development of more robust models.

🧬🖥️So excited to show you the outcome of @pascivers.bsky.social and my latest project: "From Hype to Health Check: Critical Evaluation of Drug Response Prediction Models with DrEval" doi.org/10.1101/2025.05.26.655288, published with M. Picciani, M. Wilhelm, K. Baum & @itisalist.bsky.social. 🧵1/10

For those of you who are not in Innsbruck to see me today, you might instead listen to @judith-bernett.bsky.social at the @iscb.bsky.social NetBio webinar! 🔗 Attend at ISCB Nucleus: iscb.junolive.co 📍 If you’re not an ISCB member, register for access to ISCB Nucleus: lnkd.in/gMhrKGJz

Today, Prof. Markus List @itisalist.bsky.social will be giving a talk at Universität Innsbruck: "Data leakage is a widespread issue in machine learning in the biomedical domain: How to spot it, avoid it, and fix it" 🎤 Hosted by Prof. Francesca Finotello @francescafinotello.bsky.social See you there!

Check out our new paper in Briefings in Bioinformatics: #PRONE - an R package & app for evaluating a plethora of #proteomics normalization methods, showcased for nine datasets! Find out more here: doi.org/10.1093/bib/... @cosybio-uhh.bsky.social @daisybio.de TUM FraunhoferIZI

🎙️ Welcome back to the REPO4EU Podcast! On episode 2 you'll meet Johannes Kersting, Bioinformatician and PhD Researcher at @daisybio.de building a knowledge base for #DrugRepurposing. YouTube 🔴 youtu.be/wQD8LbHEFYc?... Spotify 🎧 open.spotify.com/episode/0yNj... #PhDVoice #AcademicSky #Science

🎙️Happy to have presented my #Postdoctoral project at the Weihenstephan #Bioinformatics Symposium 2025 organized by Prof. @itisalist.bsky.social and by the amazing team @daisybio.de at #TUM!!! Learned a lot about the exciting science around #TUM ann #LMU 🤓 #compchem #MD #chemosensory #GPCR

Weihenstephan Bioinformatics Symposium 2025: More than 75 scientists from Bavaria and the world came together to share talks and create new synergies. It was great to host this event, for those who missed it: The next edition is planned for 2027 😉

Greetings from Palermo! @en-coding.bsky.social, @a-dietrich.bsky.social, @itisalist.bsky.social, Serafina Reif, Nico Trummer & Kamila Kwiecien are united here at the occasion of the MyeInfoBank COSTAction: Converting Molecular Profiles of Myeloid Cells into Biomarkers for Inflammation and Cancer

📍#thisisus @quirinmanz.bsky.social is today's doctoral candidate in focus! He is fascinated by the broad application of bioinformatics, from understanding the fundamentals of molecular biology to creating patient benefits in clinics. Currently, he is planning a research stay overseas. Stay posted!📍

📍@daisybio.de #thisisus @a-dietrich.bsky.social began his PhD in 2022. Alex is genuinely interested in how cells are defined by their molecular profiles and in cell-type deconvolution. Besides that, he is positioning DaiSyBio under the top participants at the TUM campus run! 🏃🎽👟 📍

This week, we had the honour to have visitors from Japan! 🇯🇵 @rnakato.bsky.social Lab of Computational Genomics, University of Tokyo gave the seminar talk "Deep learning-based approaches to elucidate unknown functional regions of the genome". Looking forward to further collaboration opportunities!

Hello Bluesky! Let us introduce ourselves 👉 we're REPO4EU, a #EUfunded project made out of 28 partners working together to advance #DrugRepurposing for #PrecisionMedicine in Europe and beyond 💊 🇪🇺 🌍 If you're into #NetworkMedicine, #PharmaInnovation and #AIinHealthcare, let's connect! 🔄 🌐 repo4.eu

📍 @daisybio.de #thisisus This is Annelore Hermann, our science manager. With a background in intercultural communication & international innovation management, Horizon Europe is her specialty. Making science accessible for citizens is essential to her as it spreads trust throughout society! 📍

📍Welcome to our presentation round of the DaiSyBio members! Every week, you will get to know someone from our lab. The start is done by @itisalist.bsky.social who heads the group. Markus joined TUM in 2018 and became a W2 tenure track associate professor in 2023. More members are about to follow! 📍

Congrats to our PhD student Johannes Kersting for winning the ASAPbio poster prize for his contribution to the @repo4eu.bsky.social #REXPO24: blog.scienceopen.com/2025/01/joha...

🧬🖥️ Proud to share our latest update on PPI predictions – "Deep learning models for unbiased sequence-based PPI prediction plateau at an accuracy of 0.65" doi.org/10.1101/2025... by T. Reim, published with @itisalist.bsky.social @dbblumenthal.bsky.social, A. Hartebrodt, and me. What did we do? 1/15 🧵

📣 Shoutout to all young molecular biologists, bioinformaticians and immunobiologists: Don't miss our lab member Alexander Dietrich giving a talk on cell-type deconvolution next THU at 2pm 🕑 It's free, it's virtual, it's new! Register here ⤵️ bit.ly/3VI6Dtx

Time for European news: Check out our latest news of the DyHealthNet project! It is a German-Italian collaboration where the team builds a network-based software platform for the analysis of population cohort data collected for a timespan of more than 10 years. 🩺🫀 www.mls.ls.tum.de/en/daisybio/...

The whole DaiSyBio team wishes you happy holidays - more to come in 2025 ✨ (Nota bene: This is not an AI generated picture)

Incredibly happy to finally see our manuscript "Emergence of power-law distributions in protein-protein interaction networks through study bias" published in @elife.bsky.social. doi.org/10.7554/eLif... It's been a long but fun journey with @dbblumenthal.bsky.social and @martinschaefer.bsky.social