概要
Hypogenic is a specialized research framework designed to accelerate scientific discovery by automating the creation and validation of testable hypotheses. It enables researchers to bridge the gap between empirical patterns and existing theoretical knowledge through three primary methods: data-driven generation (HypoGeniC), literature-integrated refinement (HypoRefine), and hybrid union approaches. By iteratively refining hypotheses based on performance against real-world datasets, Hypogenic helps identify non-obvious insights in complex domains such as deception detection, AI-content identification, and mental health analysis, providing a systematic way to conduct empirical research at scale.
