AI/ML, Large Language Models, AI Agents
At Keiji AI, we conduct foundational AI research across drug discovery, clinical development, and evidence-based medicine — from multi-modal representation learning to trial design optimization and real-world evidence generation.
Three Pillars of Innovation
Our research spans the full spectrum of AI for healthcare, from foundational models to clinical applications
Drug Discovery
AI/ML, Large Language Models, AI Agents
Large-scale, multi-modal, multi-source biomedical data and knowledge bases research
Multi-modal Representation Learning
AI Data Science Co-scientists
Clinical Development
Treatment arm ↔ Control arm
Better trial planning, faster trial operation, improved trial outcomes
Trial Design Optimization
Patient Recruitment
Digital Twins
Evidence-based Medicine
Real-World Data (RWD) → Real-World Evidence (RWE)
From electronic healthcare records, claims data, and clinical study reports to novel research hypotheses, updated clinical practice, and healthcare planning
Clinical Predictive Modeling
Research Principles
Scientific Rigor
We ground our models in peer-reviewed science and transparent benchmarking.
Clinical Relevance
Our work targets problems that matter — trial feasibility, patient access, and evidence generation.
Safety-Aware Modeling
We align to CDISC, PRISMA, and real-world regulatory standards in all workflows.
Open Collaboration
We work with academia, regulators, and pharma sponsors to ensure impact beyond papers.
Join Our Research Team
If you're passionate about advancing AI for health, we'd love to collaborate. Explore opportunities to contribute to cutting-edge research at Keiji AI.
Trusted by Leading Organizations
From top pharma companies to academic medical centers
