Clinical Trial Analysis Made Simple
Transform complex medical research data into actionable insights with AI-powered analysis tools designed for healthcare professionals
Why Clinical Trial Analysis Matters
Clinical trials generate massive amounts of complex data that can make or break drug development programs. Traditional analysis methods often involve weeks of manual data processing, statistical modeling, and report generation. But what if you could compress months of analysis into hours?
Picture this: You're three months into a Phase II trial for a promising cardiovascular drug. Patient enrollment is complete, biomarker data is streaming in, and adverse events need constant monitoring. Your team is drowning in spreadsheets, struggling to identify trends that could signal efficacy or safety concerns. Every day of delayed analysis could mean missing critical insights that impact patient safety or regulatory approval.
This is where AI-powered statistical analysis transforms clinical research. Instead of wrestling with complex formulas and manual calculations, you can focus on what matters most: interpreting results and making informed decisions about patient care and drug development.
Transform Your Clinical Research Workflow
Discover how AI-powered analysis streamlines every aspect of clinical trial data management
Automated Safety Monitoring
Real-time adverse event tracking with automated alerts for potential safety signals. Identify patterns across patient cohorts instantly.
Biomarker Analysis
Advanced statistical modeling for biomarker validation and correlation analysis. Track molecular indicators with precision.
Regulatory Reporting
Generate FDA-compliant reports automatically. Transform raw data into submission-ready documents with proper statistical summaries.
Patient Stratification
Identify patient subgroups with enhanced treatment response. Use demographic and clinical variables for precision medicine insights.
Efficacy Analysis
Calculate primary and secondary endpoints with confidence intervals. Perform survival analysis and time-to-event modeling seamlessly.
Data Quality Control
Automated data validation and cleaning. Identify outliers, missing values, and inconsistencies before they impact your analysis.
Clinical Trial Analysis in Action
See how healthcare professionals use AI-powered analysis to accelerate medical research and improve patient outcomes
Phase III Oncology Trial Analysis
A major cancer research center reduced their primary endpoint analysis time from 6 weeks to 3 days. By automating survival curve generation and hazard ratio calculations, researchers could quickly assess treatment efficacy across different patient subgroups. The AI identified a 23% improvement in progression-free survival that might have been missed with traditional analysis methods.
Cardiovascular Drug Safety Monitoring
During a 2,400-patient cardiovascular outcomes trial, automated safety monitoring flagged a potential cardiac event cluster within 48 hours of data entry. Traditional monitoring would have taken weeks to identify this pattern. The early detection allowed for protocol modifications that ultimately improved patient safety without compromising the study's integrity.
Rare Disease Biomarker Discovery
A pharmaceutical company studying a rare metabolic disorder used AI-powered correlation analysis to identify novel biomarkers. By analyzing over 200 blood and tissue markers across 150 patients, they discovered three previously unknown predictive indicators of treatment response, leading to a breakthrough in personalized therapy development.
Pediatric Drug Dosing Study
Researchers analyzing pharmacokinetic data from a pediatric trial used automated modeling to determine optimal dosing across different age groups. The AI-powered analysis revealed that weight-based dosing alone was insufficient, leading to an age-adjusted dosing protocol that improved efficacy by 31% in the youngest patient cohort.
Immunotherapy Response Prediction
An academic medical center combined clinical data with genomic markers to predict immunotherapy response. The integrated analysis platform identified a 4-biomarker signature that predicted treatment response with 87% accuracy, enabling personalized treatment decisions that improved patient outcomes while reducing unnecessary treatment exposure.
Multi-Site Data Integration
A global clinical trial spanning 45 sites across 12 countries used automated data harmonization to ensure consistency across different electronic data capture systems. Real-time quality checks identified and corrected data discrepancies, reducing database lock time by 40% and accelerating regulatory submission timelines.
From Raw Data to Clinical Insights
Our AI-powered platform transforms complex clinical trial data into actionable insights through an intuitive four-step process
Data Import & Validation
Upload clinical data from any EDC system or CSV file. Automated validation checks ensure data integrity and identify potential issues before analysis begins. The system recognizes common clinical data formats and suggests appropriate variable mappings.
AI-Powered Analysis Setup
Simply describe your research question in natural language. The AI automatically selects appropriate statistical methods, whether you need survival analysis, biomarker correlation, or safety monitoring. No need to manually configure complex statistical parameters.
Automated Statistical Computing
Watch as advanced algorithms perform complex calculations in seconds. From Kaplan-Meier curves to Cox proportional hazards models, the system handles sophisticated statistical methods that traditionally require specialized software and expertise.
Report Generation & Visualization
Generate publication-ready tables, figures, and regulatory reports instantly. Create interactive dashboards for ongoing monitoring or static reports for regulatory submissions. All outputs are designed to meet clinical research standards and regulatory requirements.
Specialized Clinical Trial Applications
Discover how different therapeutic areas benefit from AI-powered clinical analysis
Oncology Trials
Analyze tumor response rates, progression-free survival, and overall survival with automated RECIST criteria application. Generate forest plots for subgroup analyses and calculate number needed to treat for different patient populations.
Vaccine Efficacy Studies
Track immunogenicity endpoints, antibody titers, and breakthrough infection rates. Automated analysis of vaccine effectiveness across demographic groups with real-time safety signal detection for adverse events following immunization.
Neurology Research
Analyze cognitive assessment scores, brain imaging biomarkers, and neurological function scales. Perform longitudinal analysis of disease progression with automated handling of missing data and dropout patterns.
Cardiology Outcomes
Calculate MACE endpoints, analyze ECG parameters, and assess cardiac function metrics. Automated detection of cardiovascular events with time-to-event analysis for primary and secondary prevention studies.
Infectious Disease Trials
Monitor viral load dynamics, resistance patterns, and treatment response rates. Real-time analysis of pathogen clearance with automated identification of breakthrough infections and treatment failures.
Rare Disease Research
Handle small sample sizes with appropriate statistical methods. Advanced modeling techniques for rare event analysis with bootstrapping and simulation methods to maximize statistical power.
Ready to Accelerate Your Clinical Research?
Clinical Trial Analysis Questions
Is the platform compliant with clinical research regulations?
Yes, our platform follows Good Clinical Practice (GCP) guidelines and supports FDA 21 CFR Part 11 compliance. All analyses maintain audit trails, data integrity checks, and electronic signatures where required. The system generates reports that meet ICH guidelines for statistical analysis plans.
Can I import data from common EDC systems?
Absolutely. We support data imports from major EDC platforms including Medidata Rave, Oracle Clinical, and REDCap, as well as standard CSV and Excel formats. The system automatically maps common clinical variables and validates data structure upon import.
What statistical methods are available for clinical analysis?
The platform includes comprehensive statistical methods for clinical trials: survival analysis (Kaplan-Meier, Cox regression), safety analysis (adverse event tabulation, MedDRA coding), efficacy analysis (ANCOVA, mixed models), and biomarker analysis (correlation, ROC curves). All methods follow regulatory guidance for clinical trial analysis.
How does AI help with clinical trial analysis?
AI accelerates analysis by automatically selecting appropriate statistical methods based on your data and research questions. It handles complex calculations, identifies potential data quality issues, and generates regulatory-compliant reports. This reduces analysis time from weeks to hours while maintaining statistical rigor.
Can I perform interim analyses for Data Safety Monitoring?
Yes, the platform supports interim analyses with appropriate alpha spending functions and stopping boundaries. You can set up automated safety monitoring with pre-defined triggers for adverse events, efficacy boundaries, and futility analyses. All interim reports maintain regulatory compliance standards.
Is patient data secure and HIPAA compliant?
Patient data security is our top priority. The platform is HIPAA compliant with end-to-end encryption, role-based access controls, and comprehensive audit logging. All data processing occurs in secure, validated environments with regular security assessments and compliance monitoring.
Can I collaborate with my research team?
Yes, the platform supports multi-user collaboration with role-based permissions. Principal investigators, biostatisticians, data managers, and clinical research associates can access appropriate data and analyses based on their roles. Version control ensures everyone works with the latest analysis results.
What types of reports can I generate?
Generate comprehensive reports including Tables, Listings, and Figures (TLFs) for regulatory submissions, interim safety reports, Data Safety Monitoring Board presentations, and publication-ready tables and figures. All reports are customizable and meet industry standards for clinical research documentation.
Sourcetable Frequently Asked Questions
How do I analyze data?
To analyze spreadsheet data, just upload a file and start asking questions. Sourcetable's AI can answer questions and do work for you. You can also take manual control, leveraging all the formulas and features you expect from Excel, Google Sheets or Python.
What data sources are supported?
We currently support a variety of data file formats including spreadsheets (.xls, .xlsx, .csv), tabular data (.tsv), JSON, and database data (MySQL, PostgreSQL, MongoDB). We also support application data, and most plain text data.
What data science tools are available?
Sourcetable's AI analyzes and cleans data without you having to write code. Use Python, SQL, NumPy, Pandas, SciPy, Scikit-learn, StatsModels, Matplotlib, Plotly, and Seaborn.
Can I analyze spreadsheets with multiple tabs?
Yes! Sourcetable's AI makes intelligent decisions on what spreadsheet data is being referred to in the chat. This is helpful for tasks like cross-tab VLOOKUPs. If you prefer more control, you can also refer to specific tabs by name.
Can I generate data visualizations?
Yes! It's very easy to generate clean-looking data visualizations using Sourcetable. Simply prompt the AI to create a chart or graph. All visualizations are downloadable and can be exported as interactive embeds.
What is the maximum file size?
Sourcetable supports files up to 10GB in size. Larger file limits are available upon request. For best AI performance on large datasets, make use of pivots and summaries.
Is this free?
Yes! Sourcetable's spreadsheet is free to use, just like Google Sheets. AI features have a daily usage limit. Users can upgrade to the pro plan for more credits.
Is there a discount for students, professors, or teachers?
Currently, Sourcetable is free for students and faculty, courtesy of free credits from OpenAI and Anthropic. Once those are exhausted, we will skip to a 50% discount plan.
Is Sourcetable programmable?
Yes. Regular spreadsheet users have full A1 formula-style referencing at their disposal. Advanced users can make use of Sourcetable's SQL editor and GUI, or ask our AI to write code for you.
Transform Your Clinical Research Today
Join leading pharmaceutical companies and research institutions using AI-powered analysis to accelerate drug development and improve patient outcomes