Statistical Tools
CTC StatSuite
A comprehensive suite of statistical tools for the design and analysis of cancer clinical trials, including power and sample size calculations, survival analysis, and meta-analysis.
BioMarker-Analyzer
An advanced software package for the identification and validation of prognostic and predictive biomarkers from high-dimensional genomic and proteomic data.
AdaptiveDesign-Studio
A user-friendly tool for designing, simulating, and analyzing adaptive clinical trials, allowing for more flexible and efficient research.
Data Analysis Platforms
RealWorld-Explorer
A platform for the analysis of real-world data from electronic health records, registries, and other sources to generate evidence on treatment effectiveness and safety.
MultiOmics-Integrator
A powerful tool for the integrative analysis of multi-omics data, enabling a systems-level understanding of cancer biology.
CTC-ML
A machine learning platform with a curated set of algorithms for predictive modeling, patient stratification, and treatment outcome prediction in oncology.
Data Visualization
OncoPlot
An interactive data visualization tool for creating publication-quality plots and figures from clinical trial and genomic data.
Survival-Viz
A specialized tool for visualizing survival data, including Kaplan-Meier curves, Cox proportional hazards models, and time-dependent ROC curves.
TrialFlow
A tool for creating and visualizing clinical trial flow diagrams, CONSORT diagrams, and patient journey maps.
Clinical Apps
CTC-RiskCalc
A mobile application for clinicians to calculate patient-specific cancer risk and prognosis based on validated statistical models.
eConsent-Plus
An electronic informed consent platform for clinical trials, designed to improve patient comprehension and streamline the consent process.
PatientReported-Outcomes
A platform for collecting and analyzing patient-reported outcomes in clinical trials, providing valuable insights into the patient experience.