Agentic AI platforms for autonomous training and rule induction of human-human and virus-human protein-protein interactions

We instruct an AI agent to construct two separate agentic AI platforms: one for autonomous training of predictive ML models for human-human and virus-human PPI, and the other for inducing explicit general rules governing human-human and virus-human PPI. The first agentic AI platform for autonomous training of predictive ML models for PPI is designed to consist of five AI agents that handle autonomous data collection, data verification, feature embedding, model design, and training and validation

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ethics.ai (27 April 2026), “Agentic AI platforms for autonomous training and rule induction of human-human and virus-human protein-protein interactions,” evidence record 5337, https://ethics.ai/record/5337 (originally published by arXiv).

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