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What are the current advancements in brain tumor diagnosis, treatment, and prevention? 


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Current advancements in brain tumor diagnosis, treatment, and prevention encompass various innovative approaches. Machine learning algorithms have shown enhanced efficiency in brain tumor detection , while recent developments in automated methods have improved multiclass brain tumor detection and classification . Clinical trials reflect advanced insights into cancer immunology and genomics, emphasizing the need for personalized therapies and molecular screening for rare abnormalities in brain tumors . Imaging techniques play a crucial role in diagnosing and planning treatments for brain tumors, with ongoing research focusing on targeted therapies, immunotherapy, and nanotechnological drug delivery systems . The integration of standardized image acquisition and advanced imaging technologies like 23Na MRI and CEST imaging is expected to enhance tumor perception and treatment response assessment in clinical trials .

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Journal ArticleDOI
Mary M. Barden, Antonio Omuro 
24 Feb 2023-Cancer
2 Citations
Advancements include failed anti-PD-1 trials, targeted therapies for BRAF V600E mutations, consolidation therapies for primary CNS lymphoma, and promising results with octreotide and immunotherapy for meningiomas.
Advancements in brain tumor treatment include maximal resection, radiotherapy, chemotherapy with temozolomide, and tumour treating fields therapy. Targeted therapies like immunotherapy and nanotechnological drug delivery systems are also being explored.
Current advancements in brain tumor diagnosis involve utilizing machine learning for precise representation and segmentation in MRI processing, enhancing efficiency and accuracy in early detection for improved patient survival rates.
Not addressed in the paper.

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