Areeba Patel

@areebap.bsky.social

AI, (epi-)genomics, pathology | Head of Tech @ Heidelberg Epignostix | PhD @dkfz.bsky.social with Felix Sahm and @moritzgerstung.bsky.social | @imperialcollegeldn.bsky.social alum

Experts in Heidelberg have developed an AI system that can classify brain tumors with unprecedented accuracy using standard microscopic tissue sections. The system could accelerate the diagnosis of brain tumors worldwide. 🚀 t1p.de/fbfey

AI Diagnoses Brain Tumors in Minutes Instead of Weeks

Experts in Heidelberg have developed an AI system that can classify brain tumors with unprecedented accuracy using standard microscopic tissue sections. Using digitized standard stains, the system ide...

t1p.de

1/n Excited to share our new paper in Nature Cancer 🦀 Meet Hetairos (Greek- “companion”): an AI model that predicts >100 methylation-defined CNS tumour subtypes directly from a routine H&E slide 🧠 State of the art diagnostics- from the slide that’s already on every pathologists’ desk 🧵

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Tissue organization is fundamental to how tissues function - yet in cancer such spatial patterns can progressively break down. Ever wondered how?! Check out our new study, where we investigate how lymphoma reshapes lymph node architecture 👀

EMBL@embl.org · 4mo ago

A new study maps the organisation of immune and stromal cells in lymph nodes and shows its association with prognosis in certain lymphomas. This has implications for long-term prognosis in cancer patients and can potentially open up new therapeutic avenues. www.embl.org/news/science...

Reactive lymph nodes, as visualised using multiplexed immunofluorescence. B-Cells are shown in red (PAX5), T-cells in blue (CD3), lymphatic endothelial cells and fibroblastic reticular cells in green (PDPN), and follicular dendritic cells in cyan (CD21). Credit: Felix Czernilofsky

🚨 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/

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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. 🖥️🧬

Computational with a PhD in some quantiative science, and want to make the world a better place with AI in healthcare? Want to work with some of the most innovative AI groups in the life sciences? Want to work for Europe, across Cambridge and Heidelberg, living in the UK? Two more days to apply:

Open Targets@opentargets.org · 2y ago

NEW: Postdoctoral Fellow with @ewanbirney The project is based in the Birney Research group at @emblebi and working closely with Open Targets and @MoritzGerstung's group at DKFZ