ONDAS Gender Prediction is a research initiative exploring predictive reproductive modeling — combining medicine, mathematics, and computational systems to estimate fetal gender probability before conception.
Non-invasive & reliable
Advanced predictive algorithm
Family planning support
Ethical & responsible
A short introduction to the ONDAS Gender Prediction research and platform, available in English and Arabic.
ONDAS Gender Prediction — Overview (English)
نظرة عامة على منصة ONDAS للتحديد جنس الجنين قبل الحمل (بالعربية)
The original concept was developed by the late Dr. Khasro Akram Othman, a physician affiliated with the Ministry of Health in Iraq and the Kurdistan Region. Over several decades of clinical observation, he proposed that fetal gender outcomes may follow measurable physiological and demographic patterns — patterns that could be mathematically modeled before conception.
Today, that early insight has grown into an interdisciplinary initiative spanning reproductive medicine, research methodology, embryology, and digital systems development, carried forward by the family and colleagues who shared his vision.
“A physician's true reach is measured not by the patients he treats in his lifetime, but by the questions he leaves for others to answer.”
The ONDAS Repro system investigates the relationship between reproductive outcomes and a defined set of measurable variables, processed through a structured mathematical and computational model.
Parental birth dates
Blood groups & compatibility
Physiological & reproductive indicators
Family reproductive histories
Long-term demographic patterns
These variables are processed through triangulated validation — observational research, archival records, and clinical documentation — comparing predictive outcomes with documented birth data.
The research was translated into a digital platform that converts decades of observational modeling into a structured, reproducible computational algorithm.
Structured intake of the same variables studied in the original research model.
Outputs are expressed as probabilities, not certainties — grounded in the underlying data.
Built for repeatable analysis across clinical and research settings alike.
A supportive tool for observational assessment and family planning conversations.
The ONDAS Repro model contributes to ongoing discussions in reproductive science through fertility planning support, reproductive health assessment, and non-invasive family planning insights — while remaining open to independent scientific validation.
It represents an interdisciplinary integration of reproductive medicine, mathematical modeling, predictive analytics, health informatics, and longitudinal observational research.
Fertility planning support
Reproductive health assessment
Non-invasive family planning insights
Exploration of fertility-related reproductive patterns
Computational reproductive prediction models
The original methodology was later organized and expanded into a formal scientific structure, incorporating archival medical records, clinical documentation, family reproductive histories, and longitudinal datasets.
ONDAS Repro supports an interdisciplinary competency system integrating healthcare, research, digital systems, and predictive analytics — built on three pillars.
An interdisciplinary initiative exploring predictive reproductive modeling — through medicine, mathematics, and long-term observational research.— ONDAS Gender Prediction
The Dr. Khasro Method has guided thousands of families through 36 years of predicting their baby's gender — with 95.0% accuracy, before conception. Reach out and let's talk about your journey.
The Gender Prediction platform is reserved for registered practitioners. To request access, email us using the address above.