We present FedscGen, a federated, #PrivacyPreserving method (built on scGen) batch-effect correction tool to help analyze distributed #scRNAseq datasets.

genomebiology.biomedcentral.com/articles/10....

✨ Congratulations to Faren, the winner of the Young Investigator Award #RExPO25! This is a truly well-deserved recognition of her outstanding research and impact. 👏 @repo4eu.bsky.social

#Acne and other #SkinDisorders are often linked to the sebaceous gland (SG). We provide a detailed molecular map of the human SG, revealing dynamic differentiation of sebocytes and identifying new #GeneMarkers, providing a valuable reference for future research.

www.jidonline.org/article/S002...

🚀🦠 Exciting discussions at the @microb-ai-ome.bsky.social Steering Committee Meeting in Vienna! Great to see progress at the intersection of #MicrobiomeResearch and #AI!

Studying #BoneTissue proteins can be likened to finding a needle in a haystack of collagen. Our new protocol eliminates collagen interference without the use of enzymes, yielding 68% more proteins identified. #proteomics

pubs.acs.org/doi/10.1021/...

We introduce DRaCOoN 🐉: a Python package and web tool designed for pathway-level #DifferentialCoexpression analysis. It features a unique benchmarking framework and demonstrates robust performance across various #Transcriptomics datasets.

bmcbioinformatics.biomedcentral.com/articles/10....

Presenting DIGGER 2.0: we extended our #AlternativeSplicing software DIGGER with new functionalities, including support of the mouse interactome and NEASE for #EnrichmentAnalysis! Check it out here: exbio.wzw.tum.de/digger/

When is "good enough" actually good enough for #PrognosticModels? Our commentary tackles this question with a structured analysis of 16 scenarios + practical approaches for development decisions for healthcare-related prognostic models.

www.jmir.org/2025/1/e69341

Defective interfering particles (DIPs) as potential novel #Antivirals! Our meta-analysis of 20 #Influenza datasets provides insights for selecting candidates for antiviral treatment design.

academic.oup.com/nargab/artic...

We compared various models predicting changes in #KneePain of #Osteoarthritis patients due to participation in supervised education and exercise and propose a concise 6-variable model for personalized prediction.

rehab.jmir.org/2025/1/e60162

Introducing DREAMER, a groundbreaking tool that identifies mechanisms of #AdverseDrugReactions (ADRs) by linking drug and disease phenotypes to protein interaction networks. Here, DREAMER revealed #MolecularMechanisms behind 67 ADRs.

www.sciencedirect.com/science/arti...

We wrapped up a productive @daibetes.bsky.social Steering Committee Meeting last week in Boston!
Great discussions on how privacy-preserving #AI can advance #DiabetesResearch and #PersonalizedPatientCare.

Soluble guanylate cyclase (sGC) protects cells from #OxidativeStress. Our research shows ta cGMP-dependent reduction of #ReactiveOxygenSpecies (ROS) upon soluble guanylate cyclase activation via a downregulation of NOX4/5 via NF-κB. Our findings have significant implications for #StrokeRecovery!

Are you ready to shape the future of #LifeSciences? Join us and be part of the revolution in #AI and #MachineLearning innovation! Apply now!
#PhD #postdoc

🚨Join us in pioneering the future of #LifeSciences! Apply now to be at the forefront of #AI and #MachineLearning innovation!

Predicting drug responses is crucial for #PersonalizedMedicine. Our study reveals that #TranscriptionFactor activity-based methods outperform others in this task . #MachineLearning

www.nature.com/articles/s41...