🚨 new glioblastoma preprint alert! we present the first spatially resolved single cell atlas comparing radionecrotic changes (RN) and recurrent IDH-wildtype glioblastoma (GB) –– shedding light on a long-standing diagnostic challenge. 🧵 1/

Join us: With @abigailsuwala.bsky.social we are looking for a postdoc to drive our spatial transcriptomics analysis efforts of brain tumours. If you enjoy multidisciplinary biomedical research, big data and coding, you are in the right place. karriere.klinikum.uni-heidelberg.de/index.php?ac...

A spatial transcriptomics analysis led by my student Zaira reveals the distinct nature (gene expression, tumour cell states and local microenvironments) of radionecrosis and recurrence in glioblastoma. 👏

Scientists from @embl.org and DKFZ have developed an AI model that assesses the long-term individual risk for more than 1,000 diseases. The model can predict health events over a period of more than a decade. @moritzgerstung.bsky.social @nature.com t1p.de/zmjfg

What if you could get a glimpse of the future of your health, today? Our scientists have developed a new generative AI model, trained using large-scale health records, that can estimate how human health may change over time. Watch to find out more. 🖥️🧬

This is a great set of methods for studying combinatorial effects of cancer mutations on spatial phenotypes. Clever experimental design by @breinigmarco.bsky.social hijacking Visium and elegant analysis by @lomakinai.bsky.social and @elihei.bsky.social www.nature.com/articles/s41...

How does tumour heterogeneity arise? How can we predict cancer cell plasticity? In 2 new studies, we trace #glioblastoma heterogeneity to a spatial cancer cell trajectory w. multimodal cell atlassing bit.ly/4mkrWgs & predict plasticity w. snRNA/ATAC+deep learning bit.ly/3FbI6Ic 🧵

Spatial biology of cancer evolution go.nature.com/44hbib6 #Review by Zaira Seferbekova, @lomakinai.bsky.social, Lucy R. Yates & @moritzgerstung.bsky.social Free to read here: rdcu.be/c1jwe

Some classical statistics today. ebmstate, an R package for multistate models with empirical Bayes covariate effect estimation. Developed by Rui Costa during his postdoc in my group. doi.org/10.32614/RJ-...

From great collaborations come great things. Excited to share Segger, the solution to segmentation of spatial transcriptomics (ST) data, with the @steglelab.bsky.social and @moritzgerstung.bsky.social labs, spearheaded by the great Andrew Moorman and Elyas Heidari www.biorxiv.org/content/10.1...

1/ New preprint! 🍳 @elihei.bsky.social and our team at @embl.org , @dkfz.bsky.social, and @mskcancercenter.bsky.social built #segger - a fast, accurate cell segmentation tool for spatial transcriptomics that assigns transcripts to their cell origins! doi.org/10.1101/2025...

Spatial transcriptomics holds great promise to understand biological tissue function, but the assignment of transcripts to cells has been a substantial bottleneck. For this reason, Elyas Heidari, a student in my lab and in @steglelab.bsky.social built segger. www.biorxiv.org/content/10.1...

New preprint! We worked with @msftresearch.bsky.social and @broadinstitute.org to see whether large language models (LLMs) can be useful to variant scientists in deciding whether genetic variants seen in a patient are responsible for their disease. tl;dr yes they can: www.biorxiv.org/content/10.1...

Looking forward to @moritzgerstung.bsky.social seminar @uob-ieu.bsky.social on 30th Jan 2025 at 1pm, ,“ Using AI to Predict Disease Risks” in person and on line bristol-ac-uk.zoom.us/j/94273829130

Resharing here a recent X post. In this preprint, we introduce an improved version of NanoSeq, a duplex sequencing protocol with <5 errors per billion bp in single DNA molecules, and use it to study the somatic mutation landscape of oral epithelium in >1000 people. 1/ www.medrxiv.org/content/10.1...

We strongly suggest that academic publishers and other platforms that host research rapidly implement a Share to Bluesky button for their articles. Here's how: docs.bsky.app/docs/advance... #AcademicSky #HigherEd #Altmetrics

5:20 start this morning for a virtual talk at the WEHI in Melbourne, covering: * Cancer risk models * Delphi multi-disease genAI * Paion, a new brain tumor digital pathology algorithm Summary below:

New at Science Evo, a large language of life (LLLM) genomic foundation model, predicting & generating tasks from molecular to genomic scale science.org/doi/10.1126/...

Delphi is cool: nanoGPT, adapted to generate (clinical ontology term, waiting time) tuples i.e. a continuous time Markov chain on clinical ontology terms, trained on patient histories. Predicts conditions on par with clinical indicators in current practice.

Long-term collaborator @ewanbirney.bsky.social is recruiting a joint postdoc with us to work on extensions of our Delphi generative health model. The post is based in Cambridge, UK. www.embl.org/jobs/positio...