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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

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T. Büttner

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2 papers indexed here

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Open access Sep 2026

External validation of the bellmunt risk score for survival prediction in mCRPC patients undergoing [177Lu]Lu-PSMA-617 therapy.

PURPOSE [177Lu]Lu-PSMA-617 is a standard-of-care therapy for metastatic castration-resistant prostate cancer (mCRPC). Given the heterogeneous clinical responses, accessible prognostic tools are needed. We recently demonstrated that the Bellmunt Risk Score (BRS)-comprising ECOG performance status >0, hemoglobin <10 g/dL...

T. Büttner, Mike Wenzel, Philipp Mandel et al. · 0 citations
Aug 2026

Machine learning-integrated explainable artificial intelligence for survival prediction in urothelial carcinoma with enfortumab vedotin: an exploratory real-world analysis.

BACKGROUND Enfortumab vedotin (EV) has transformed treatment for advanced urothelial carcinoma (aUC), but outcomes vary. Machine learning (ML) with explainable artificial intelligence (XAI) may improve survival prediction. METHODS Data from 544 aUC patients receiving EV after platinum chemotherapy and immunotherapy (...

K. Sridharan, O. Fiala, G. Sivaramakrishnan et al. · 0 citations

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