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#braintumors

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🧠 What if AI could diagnose brain tumors more accurately than humans?

A new deep learning system combines whole slide images and patient data—achieving 96.7% diagnostic accuracy for gliomas.

💡 Key insight: Multimodal AI + clinical fusion beats image-only methods.

Should AI co-pilot future medical decisions?

🔗 Full read on Blue Headline:
blueheadline.com/tech-breakthr

AI Diagnoses Brain Tumors - BlueHeadline Tech News
Blue Headline · 🧠 AI Diagnoses Brain Tumors With 96.7% Accuracy—Here’s How It WorksAI diagnoses brain tumors with up to 96.7% accuracy using deep learning and clinical data fusion—see how it works and why it matters.

Guess everyone's still on birdsite, shame...
At #CRUKbrain24 just today.

I left the lab a long time ago; it's always a privilege to hear from both early and established-career scientists talk about their work passionately.
I've got some insights into the latest developments in brain cancer research, heard some excellent talks, hung out with some fab colleagues and had some snacks.

Thanks to organisers and participants, enjoy the rest!
#brainTumours #brainCancer #cancerResearch #brainTumors

Great, up-to-date review of #BrainTumors

"Approximately 49% of malignant brain tumors are #glioblastomas, and 30% are diffusely infiltrating lower-grade #gliomas. Other malignant brain tumors include primary central nervous system (CNS) #lymphoma (7%) and malignant forms of #ependymomas (3%) and #meningiomas (2%)."

jamanetwork.com/journals/jama/

jamanetwork.comGlioblastoma and Other Primary Brain Malignancies in AdultsThis review summarizes current evidence regarding diagnosis and treatment of primary malignant brain tumors in adults.