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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

John G. Samuelsson

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Open access Jul 2026

Characterizing LLM performance via a Bayesian lens

A hierarchical Bayesian Beta-Binomial framework for uncertainty-aware evaluation of LLMs on multiple-choice datasets, providing deeper insights into accuracy, consistency, and heterogeneity essential for reliable model benchmarking.

Giannis Manousaridis, John G. Samuelsson, B. Emir et al. · 0 citations
Review Aug 2026

Can agentic AI dent Eroom's Law? Large reasoning models across the drug discovery and development pipeline.

This review discusses agentic AI applications across the drug development continuum, from target discovery to post-market surveillance, and highlights three near-term use cases: algorithmic drug repurposing, informed consent support and automated drafting of regulatory documents.

Sheraz Khan, John G. Samuelsson, Xue-Mei Cai et al. · 0 citations

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