Independent · Data-driven
Bringing together clinicians, embryologists, and data specialists to explore cohort-backed tools—without sales funnels or sponsored placements.
IVF BIG DATA PROJECT
Cohort calculators, morphology dashboards, and research summaries—built for clinicians, embryologists, and patients exploring outcomes together, without sponsored placements.
About
The IVF BIG DATA project is a not-for-profit collaboration of physicians, embryologists, and data scientists—created to broaden awareness of human IVF and share rigorous, approachable science with the public.
Our mission is to make useful information easy to find for patients and clinicians. Our goal is individualized, evidence-aware context so every patient can navigate their journey with clearer questions—not prescriptive answers.
Tools
Open-access calculators and dashboards built on historical IVF cohorts. Transparent filters, no sign-up, no sponsored placements.
Estimate clinical pregnancy rate from historical frozen embryo transfer cycles: filter by embryo age, biopsy day, number of embryos transferred, and Gardner grade morphology. Includes compare-two-embryos mode and cohort dashboards (morphology frequencies, PR by age, quality groups, and more).
AI prediction model estimates the probability of ongoing clinical pregnancy based on first β-hCG, cycle type, and days after transfer; interactive scatter and static cohort tables from the historical data covering over 10,000 IVF cycles.
Upload historical stim-to-retrieval durations (CSV or Excel), set your desired weekday retrieval mix, and get recommended stim starts per day—with Monte Carlo simulation and charts for OR and lab workload planning.
IVF data today
Centers use different reporting, cutoffs, and cohort semantics—making like-for-like comparisons difficult.
Valuable historical data rarely sits in one neutral place for transparent, exploratory analysis.
Marketing and anecdotes can overshadow reproducible filters and cohort-backed context.
Clinicians and patients benefit from an independent, non-commercial space to explore IVF data together.
The field is moving quickly—but without alignment on definitions, transparent cohort semantics, and shared understanding, progress can feel uneven. This project exists to offer a structured, independent starting point.
Pillars
A neutral space connecting physicians, embryologists, and data scientists to share methods and context.
Dashboards, calculators, and publications that translate historical cycles into clearer, practical language.
Tools are educational by design—transparent filters, no sponsored placements, and no substitute for individualized care.
Reach out for collaborations, dataset questions, or feedback on the calculators. We read every message.
Contact the project