It's all about saving lives
Our journey began in 2015 based on a personal story of recurrent miscarriages and preterm births.
These losses occurred without any explanation or apparent reason.
This phenomenon occurs in 15% of the births, i.e., 15M pregnancies annually!
This experience led us to establish GynIsUs, with the goal of changing the way that physicians diagnose and treat women.
*What are the expected risks of each pregnancy?
What can be done preventively to address the risk of complications and How risks evolving throughout the pregnancy?
* How can NICU better prepare for accepting new preemie based on his unique profile?
* What hospital resources and capacity will be required for each specific pregnancy?
* How can hospitals better plan for NICU capacity?
* 7,000 newborn babies die every day. Many of these could be prevented or avoided through improved antenatal care.
* 300K women die globally every year from preventable causes related to pregnancy.
* US childbirth accounts for 10% of all maternal hospital stays and $12.4B in hospitalization costs for live births
* 94% of US hospital stays for childbirth in 2008 involve complicating conditions
* US Premature births occur in 1 out 8 pregnancies
* Estimated societal economic impact of preterm birth is at least $26.2B annually
* Our AI platform (Safe Pregnancy AI - SPAI™) integrates data generated real time and on an ongoing basis.
* Diagnostics and treatments are personalized, based on our AI predictions (e.g., preterm, premature rupture of membranes, diabetes, preeclampsia, eclampsia).
* Hospitals and physicians can focus on their patients at higher risks of complications and diseases.
* Hospitals can better forecasting the resource utilization and cost management.
Connecting the woman medical profile and her Fetus medical profile (e.g., severe fetal growth restriction, macrosomia) ;
Enable the physicians to track the impact of the woman medical assessments and lifestyle on her baby’s outcome
* Reducing readmission rate after 24h
* Reducing complications and misdiagnoses
* Reducing hospitalizations caused by complications
and hospitalizations after delivery
* Reducing delivery room stay by predicting the most efficient induction method / Mode of Delivery (MOD)
*Attracting Millennials and affluent populations