TrialMind: AI Agents for Clinical Research
From literature review to trial design and data analytics, our AI assistants accelerate every step of clinical research and development. We envision a world where AI seamlessly integrates into every stage of clinical development.
Our Vision
Transforming clinical research through intelligent automation, data integration, and advanced AI capabilities across three integrated layers.
TrialMind Architecture for Clinical Research
Transforming clinical research through intelligent automation, data integration, and advanced AI capabilities
Click on each layer to explore the details
Literature Review Agent
Automated literature search, screening, and synthesis for evidence-based research
Data Science Assistant
Statistical analysis, biomarker discovery, and predictive modeling support
Trial Design Optimizer
Protocol optimization, endpoint selection, and sample size calculation
Trial Monitoring Agent
Real-time trial oversight, risk assessment, and quality monitoring
Regulatory Intelligence Agent
Automated regulatory guidance analysis and submission optimization
Large Language Models (LLMs)
Advanced natural language processing for protocol analysis and medical text understanding
Knowledge Graph Engine
Medical ontologies and relationship mapping for comprehensive data understanding
Predictive Analytics API
Machine learning models for patient outcomes, enrollment forecasting, and risk prediction
Document Parsing Service
Document parsing, information extraction, and figure understanding
Entity Linking & NER
Medical entity recognition and standardization across diverse data sources
Recommendation Engine
Personalized recommendations for protocols, sites, and patient matching
Real-time Processing
Stream processing for continuous monitoring and instant alerts
Privacy-Preserving ML
Federated learning and differential privacy for secure multi-site collaboration
Clinical Trial Databases
EDC systems, CTMS, randomization data, and protocol repositories
Electronic Health Records
Hospital systems, EMR data, clinical notes, and patient histories
Genomic & Biomarker Data
Sequencing data, proteomics, metabolomics, and molecular diagnostics
Regulatory & Safety Data
FDA databases, adverse events, drug labels, and regulatory guidelines
Literature & Publications
PubMed, clinical guidelines, conference abstracts, and medical journals
Digital Health Data
Wearables, mobile apps, patient-reported outcomes, and remote monitoring
Claims & Administrative
Insurance claims, healthcare utilization, and population health databases
External Data Partners
IQVIA, Flatiron, Tempus, and other real-world data providers
Our Current Agents
Comprehensive AI assistants designed for every phase of clinical research and development.
- ●Comprehensive support for biomedical literature review, meta-analysis, and health technology assessment
- ●Efficient extraction and summarization of relevant scientific research
- ●PRISMA-compliant workflows and structured data exports
- ●Natural language querying of trial data and publications
- ●Automated identification of relevant papers
- ●Natural language interface for feasibility analysis
- ●Integrates historical modeling scripts
- ●Supports CDISC and OMOP standards
- ●Generates Python & R code
- ●Real-time execution sandbox
- ●Automated document drafting for protocols and regulatory reports
- ●Medical review and data management review assistant
- ●Optimize eligibility criteria for clinical trials
- ●Optimized site selection through predictive analytics
- ●Precision patient-trial matching for targeted recruitment
Ready to Transform Your Clinical Trials?
Discover how our AI agents can revolutionize your clinical research workflow and accelerate your path to market.