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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

Author

Yewon Kim

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2 papers indexed here

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Open access Sep 2026

A Machine Learning Framework Enables Supervised Treatment Response Prediction from Tumor Transcriptomics across Cancer Types.

Robustness analysis revealed that predictive performance plateaued for some therapies with increasing training cohorts but continued to improve for others, suggesting inherent limits of supervised brute-force learning for certain treatments, but additional data and deeper mechanistic modeling may further enhance transc...

L. Pal, E. Gertz, N. Nair et al. · 0 citations
Open access Sep 2026

Transcriptome-based synthetic lethality predictions to improve targeted therapy/immunotherapy treatment prioritization in non-metastatic breast cancer: BC-SELECT.

Patients with non-metastatic triple-negative (TNBC) or HER2-positive (HER2+) breast cancer do not have tools to predict treatment response or prioritize options prior to starting therapy. Pathologic complete response (pCR) is a proxy that requires neoadjuvant treatment. BC-SELECT leverages genetic interactions (e.g. sy...

Yewon Kim, Matthew R. Nagy, Rebecca Pollard et al. · 0 citations

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