👏 We would like to thank all contributors making their way to Erlangen and especially the team at FAU Erlangen-Nürnberg for hosting the workshop!

Overall, the workshop fostered in-depth discussions on research challenges, collaboration strategies, and future directions for the work with population cohorts.

We also presented our experiences from nearly two years within the DyHealthNet project, and collected valuable feedback for the progress of our project.
@itisalist.bsky.social @dbblumenthal.bsky.social

Within these two days, several interesting presentations and discussions from professionals in the field of population cohorts took place, including researchers from the SHIP and FinnGen study, and the Pan-Canadian Genome Library.

More than 30 researchers and project partners gathered in Erlangen for the DyHealthNet workshop on March 19-20.

Productive discussions at the DyHealthNet workshop in Erlangen ✨ 📅 🧠 🧬

📋 Workshop organizers
Markus List (Technische Universität München) @itisalist.bsky.social
David B. Blumenthal (FAU Erlangen-Nürnberg) @dbblumenthal.bsky.social

📅 Timeline
June 30, 2026: abstract submission deadline
July 15, 2026: notification
September 15, 9:30 – 13:30: workshop

🗣️ Keynote speakers
Dr. Benjamin Schubert (Helmholtz Munich)
Prof. Dr. Frederik Graw (Uniklinikum Erlangen)

➡️ Submission form for abstracts of contributed talks: forms.gle/QGdcgpH3dB5Mq9rS9

🔗 Presenters of contributed talks are required to register for the main conference (www.immunology-conference.de/registration...).

Contributions on any topic at the intersection of immunology, AI, and bioinformatics are welcome. We particularly invite contributions from junior researchers who want to discuss their work with an interdisciplinary audience.

The workshop brings together researchers to discuss emerging frontiers at the intersection of immunology, AI, and bioinformatics. The focus will be on interdisciplinary exchange rather than on the presentation of already polished results, and we will therefore give ample space for discussion.

✨ Call for abstracts for the "AI and Bioinformatics" satellite workshop at the 55th Annual Meeting of the German Society for Immunology ✨

➡️ Submission form for abstracts of contributed talks: lnkd.in/dJe3P2FS

Presenters of contributed talks are required to register for the main conference (lnkd.in/dnjQzzB3).

Contributions on any topic at the intersection of immunology, AI, and bioinformatics are welcome. We particularly invite contributions from junior researchers who want to discuss their work with an interdisciplinary audience.

The focus will be on interdisciplinary exchange rather than on the presentation of already polished results, and we will therefore give ample space for discussion.

The “AI and Bioinformatics” satellite workshop at the 55th Annual Meeting of the German Society for Immunology brings together researchers to discuss emerging frontiers at the intersection of immunology, AI, and bioinformatics. The program will feature 2 invited keynote talks and contributed talks.

My first month at TUM has been wonderful. I arrived with high expectations, and I have already learned much more than I anticipated. I'm looking forward to spending another month doing research here. Thank you, Markus @itisalist.bsky.social @daisybio.de for hosting me!

Welcome Ryu, it's a pleasure having you in our @daisybio.de lab!

Histone Display by user_506892605 MakerWorld: Download Free 3D Models This is a histone display that illustrates a nucleosome. The DNA is wrapped around a histone octamer consisting of H3, H4, H2A, and H2B. The model includes methylated cytosines, as well as histone tai...

One of our students, EliasAlbrecht, went the extra mile in his project and created an educational 3D-printed model of a nucleosome. We're stunned by the level of detail and excited to use this in our lectures and public events. The model is open to the community makerworld.com/en/models/20...

#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!

From left to right: Lisa Marie Spindler, Ana Casas, Johannes Kersting, Lorenza D'Alessandro, Fernando M. Delgado-Chaves, Markus List, Jan Baumbach, Chloé Bucheron, Cristian Nogales, Pablo Perdomo, Farzaneh Firoozbakht and Joaquim Aguirre-Plans.

REPO4EU researchers from Technical University of Munich, University of Vienna, Universidad Politécnica de Madrid and STALICLA together during a workshop organised by the CoSyBio research group at University of Hamburg.

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.

Overview of the DrEval framework. Via input options, implemented state-of-the-art models can be compared against baselines of varying complexity. We address obstacles to progress in the field at each point in our pipeline: Our framework is available on PyPI and nf-core and we follow FAIReR standards for optimal reproducibility. DrEval is easily extendable as demonstrated here with a pseudocode implementation of a proteomics-based random forest. Custom viability data can be preprocessed with CurveCurator, leading to more consistent data and metrics. DrEval supports five widely used datasets with application-aware train/test splits that enable detecting weak generalization. Models are free to use provided or custom cell line– and drug features. The pipeline supports randomization-based ablation studies and performs robust hyperparameter tuning for all models. Evaluation is conducted using meaningful, bias-resistant metrics to avoid inflated results from artifacts such as Simpson’s paradox. All results are compiled into an interactive HTML report. Created in https://BioRender.com.

🧬🖥️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.
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webinar description

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!

Systematic evaluation of normalization approaches in tandem mass tag and label-free protein quantification data using PRONE Abstract. Despite the significant progress in accuracy and reliability in mass spectrometry technology, as well as the development of strategies based on i

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