Agentic architecture automates research-question-to-workflow translation via LLM intent extraction, deterministic generators, and Skills, raising intent accuracy from 44% to 83% and cutting data transfer by 92% in a 1000 Genomes evaluation.
Bioinformatics28(19), 2520–2522 (2012)
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An agent-based framework that uses artifact contracts to dynamically configure medical imaging pipelines while ensuring deterministic reproducibility and provenance.
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From Research Question to Scientific Workflow: Leveraging Agentic AI for Science Automation
Agentic architecture automates research-question-to-workflow translation via LLM intent extraction, deterministic generators, and Skills, raising intent accuracy from 44% to 83% and cutting data transfer by 92% in a 1000 Genomes evaluation.
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An Artifact-based Agent Framework for Adaptive and Reproducible Medical Image Processing
An agent-based framework that uses artifact contracts to dynamically configure medical imaging pipelines while ensuring deterministic reproducibility and provenance.