End-to-end AI platform transforming cancer epidemiology data into publication-ready manuscripts. Automated statistical analysis, visualization generation, and peer-review preparation.
Everything you need to conduct world-class epidemiology research and publish in top-tier journals.
Direct access to IARC's global cancer statistics database. Automated data extraction, cleaning, and harmonization across 185 countries.
Seamless integration with NCI's Surveillance, Epidemiology, and End Results program. Survival analysis, incidence trends, and demographic breakdowns.
Automated selection of appropriate statistical tests. Age-standardized rates, APC modeling, joinpoint regression, and Bayesian spatial analysis.
Auto-generate Lancet-format manuscripts with proper structure: abstract, methods, results, discussion. Includes formatted tables and figure legends.
Publication-ready charts: forest plots, Kaplan-Meier curves, choropleth maps, trend analyses. Export in TIFF/EPS at 300+ DPI.
AI-powered pre-submission review. Checks methodology, statistical reporting, STROBE compliance, and suggests improvements before submission.
Integrated with the world's most authoritative cancer registries and epidemiological databases.
Global cancer incidence, mortality, and prevalence estimates for 185 countries and 36 cancer types.
IARC/WHOUS cancer statistics covering ~48% of the population. Survival trends, staging data, treatment patterns.
NCICancer Incidence in Five Continents - time trends from population-based registries worldwide.
IARCGlobal surveillance of cancer patient survival. Population-based survival estimates for 71 countries.
LSHTMGlobal Burden of Disease cancer estimates. DALYs, YLLs, YLDs, and risk factor attributions.
IHMEUpload your own CSV/Excel data. AI auto-detects cancer types, variables, and applies appropriate analyses.
UploadOur 6-step automated pipeline transforms complex epidemiological data into Lancet-ready manuscripts.
Upload CSV/Excel or connect to GLOBOCAN/SEER APIs. Auto-detect data format and cancer types.
AI-powered outlier detection, missing value imputation, and data harmonization across sources.
ASR calculation, APC modeling, joinpoint regression, survival analysis, spatial epidemiology.
Generate publication-ready figures: trend charts, maps, forest plots, survival curves.
AI generates Lancet-format manuscript with structured sections, table legends, and references.
Peer review simulation, STROBE checklist, export as DOCX/LaTeX with supplementary materials.
Pre-built analytical frameworks for the most studied cancer types worldwide.
NSCLC & SCLC epidemiology, smoking-attributable risk, screening impact
Molecular subtypes, mammography screening, survival by stage
Incidence trends, screening programs, stage-shift analysis
Hepatitis B/C attribution, aflatoxin exposure, surveillance impact
PSA screening controversy, active surveillance, Gleason grading
Overdiagnosis analysis, papillary subtype trends, iodine status
H. pylori attribution, geographic variation, staging trends
Survival improvement tracking, risk factor analysis, early detection
From individual researchers to large consortiums, we have the right plan for you.
Perfect for individual researchers getting started.
For research teams and academic departments.
For institutions and research consortiums.
Hear from oncologists and epidemiologists using our platform worldwide.
"This platform transformed our GLOBOCAN analysis workflow. What used to take 3 months now takes 3 days. The auto-generated Lancet manuscript was nearly submission-ready."
"The AI statistical engine correctly identified that we needed negative binomial regression instead of Poisson. The peer review assistant caught 12 STROBE items we missed."
"We published our global thyroid cancer trends paper in Lancet Diabetes & Endocrinology using this platform. The visualization quality is exceptional."
Join thousands of researchers transforming cancer data into impactful publications.