# Keiji AI

> For a comprehensive version with full product capabilities, team bios, blog summaries, and FAQ, see: https://keiji.ai/llms-full.txt

> Keiji AI builds TrialMind, an agentic AI platform that accelerates clinical trials across the entire lifecycle — from drug discovery and trial design to patient recruitment, data monitoring, biostatistics, and regulatory reporting. Founded by Jimeng Sun (Professor of Computer Science at UIUC, former Global Head of AI Research at IQVIA, named Top-100 AI Leaders in Drug Discovery). The team has published peer-reviewed papers in Nature, Nature BME, Nature Communications, and NeurIPS. Trusted by AbbVie, Regeneron, Takeda, Guardant Health, Medidata, and Beth Israel Deaconess Medical Center.

## Product: TrialMind

TrialMind is a B2B SaaS platform built on specialized AI agents and proprietary MCP (Model Context Protocol) tools purpose-built for clinical research. It integrates with PubMed, ClinicalTrials.gov, EHR systems, CDISC/OMOP data standards, and genomic repositories. TrialMind is SOC 2, HIPAA, and ISO 27001 compliant.

### Discovery
- [Target & Mechanism Discovery](https://keiji.ai/product/discovery/target-mechanism-discovery): AI-powered identification of novel therapeutic targets with multi-omics integration, pathway analysis, and druggability assessment

### Planning
- [Real-World Data Analysis](https://keiji.ai/product/planning/real-world-data-analysis): End-to-end RWD analytics for cohort feasibility, survival analysis, treatment patterns, and safety signals
- [Trial Design](https://keiji.ai/product/planning/trial-design): AI-assisted protocol development with eligibility criteria optimization, endpoint selection, and competitive intelligence
- [Digital Twin](https://keiji.ai/product/planning/digital-twin): Virtual patient population generation and trial outcome simulation

### Initiation
- [Site Selection](https://keiji.ai/product/initiation/site-selection): Data-driven site identification and ranking based on historical performance, patient catchment, and investigator expertise
- [Patient Recruitment](https://keiji.ai/product/initiation/patient-recruitment): EHR-based patient-trial matching, automated eligibility screening, and enrollment optimization

### Execution
- [Data Monitoring](https://keiji.ai/product/execution/data-monitoring): Risk-based monitoring per ICH E6(R2) with KRI tracking, site risk scoring, and automated query generation
- [Safety Signal Analysis](https://keiji.ai/product/execution/safety-signal-analysis): Automated adverse event coding (MedDRA), signal detection, causality assessment, and SUSAR reporting

### Analysis
- [Biostat Analysis & Programming](https://keiji.ai/product/analysis/biostat-analysis-programming): Automated SDTM/ADaM construction, CDISC validation, TLF generation, and statistical programming (SAS, R)
- [Outcome Prediction](https://keiji.ai/product/analysis/outcome-prediction): ML-powered trial success probability, endpoint prediction, and go/no-go decision support
- [Trial Intelligence](https://keiji.ai/product/analysis/trial-intelligence): Global trial landscape analysis across ClinicalTrials.gov, EudraCT, and other registries

### Reporting
- [Regulatory Writing](https://keiji.ai/product/reporting/regulatory-writing): AI-assisted clinical study reports (CSR), protocol drafting, investigator brochures, and submission-ready documents
- [Literature Review](https://keiji.ai/product/reporting/literature-review): Systematic literature review automation with PRISMA-compliant reporting, AI screening, and evidence synthesis

## Research

- [Research Overview](https://keiji.ai/research): Published academic research across drug discovery, clinical development, and evidence-based medicine
- [Publications](https://keiji.ai/research/publications): Full list of peer-reviewed publications
- [TrialPanorama](https://keiji.ai/research/trialpanorama): Large-scale clinical trial benchmark with 1.6M records and fine-tuned 8B LLM

## Blog

- [Blog](https://keiji.ai/blog): Technical articles on AI in clinical research, systematic literature review, MCP agents, FDA/EMA regulation, and clinical data standards

## Company

- [About](https://keiji.ai/about): Team, mission, and company background
- [Fact Sheet](https://keiji.ai/resources/fact-sheet): Company, platform, research, compliance, and leadership at a glance
- [For Academics](https://keiji.ai/for-academics): Free TrialMind access for academic researchers, research camps, and collaboration programs
- [Security](https://keiji.ai/security): SOC 2, HIPAA, ISO 27001 compliance details
- [Compliance](https://keiji.ai/compliance): Regulatory compliance framework
- [Contact](https://keiji.ai/contact): Get in touch
- [Book a Demo](https://keiji.ai/demo): Schedule a product demonstration