ArticleThe plant pathology journal2026
Empathy in the Soil, Agents on the Desktop: Why Plant Pathology Needs a Scientist-in-the-Loop AI Paradigm.
Article in The plant pathology journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Abstract
Plant pathology faces a cognitive bottleneck caused by the growing volume of biological data. Addressing it requires a shift from passive chatbots to autonomous AI research agents that operate in Goal-Action-State cycles. Researchers can set up a local, desktop-based agentic framework that combines semantic discovery, LLM-Wiki knowledge synthesis, and in silico prevalidation, managed under a human-directed three-tier organizational model. Strict "Scientist-in-the-Loop" boundaries, which means that a human researcher sets the goals, reviews AI-generated output before it is treated as evidence, and approves any consequential action, preserve human academic rigor and control, so plant pathologists can leave routine data processing to the system and focus on creative hypothesis design and physical validation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.