TOHO AIvita
AI-Powered White-Box Bioinformatics Platform
Evidence-Traceable • Literature-Validated • Virtual Experiments • Result Analytics
One-stop solution from literature mining to virtual cell simulation with full process transparency
Our Products
One-Stop White-Box AI Platform: From Literature Evidence to Virtual Experiments
Complete bioinformatics pipeline with full process transparency — every prediction traces back to peer-reviewed literature. From evidence mining through virtual validation to result visualization, all with explainable AI ensuring regulatory compliance and research reproducibility.
Cancer Knowledge Graph
Cancer target evidence tracker with AI-powered chat, graph visualization, and PubMed integration. Accelerate your oncology research with real-time data insights.
- →AI-powered evidence discovery
- →Interactive graph visualization
- →Literature citation tracking
Virtual Cell
Industrial metabolic engineering platform powered by explainable AI. Covers 50%+ of metabolic network simulation types with full traceability to validated models. Unlike black-box AI, every prediction traces back to COBRApy flux balance equations—perfect for biotech R&D and regulatory compliance.
- →Metabolic flux optimization for industrial strains
- →Gene knockout predictions for pathway engineering
- →Full audit trail from query to biochemical equations
Leadership Team
From Osaka and Kyoto Universities
Zheng Chen
Leader
SANKEN, Osaka University
Xihao Piao
Head of AI
Osaka University
Ziwei Yang
Head of Bio Tech
Kyoto University
Yiming Wu
Researcher
Osaka University