Developing AI based mobile applications that identify genetic disorders
in pediatric patients
in pediatric patients




Through early detection, newborn deaths and hospitalizations can be significantly reduced.
Developing AI based mobile applications that identify genetic disorders
in pediatric patients
in pediatric patients




Through early detection, newborn deaths and hospitalizations can be significantly reduced.
Developing AI based mobile applications that identify the phenotypes of genetic disorders
in pediatric patients
in pediatric patients




Through early detection, newborn deaths and hospitalizations can be significantly reduced.
With over 8,000 identified genetic disorders, current common newborn DNA tests only detect approximately 20 of them. We are working to address this by developing cost effective screening that identifies the phenotypes of genetic anomalies.

Our application was evaluated on thousands of pediatric patients from 28 countries with 128 different genetic conditions
With over 8,000 identified genetic disorders, current common newborn DNA tests only detect approximately 20 of them. We are working to address this by developing cost effective screening that identifies the phenotypes of genetic anomalies.


Our application was evaluated on thousands of pediatric patients from 28 countries with 128 different genetic conditions
With over 8,000 identified genetic disorders, current common newborn DNA tests only detect approximately 20 of them. We are working to address this by developing cost effective screening that identifies the phenotypes of genetic anomalies.


Our application was evaluated on thousands of pediatric patients from 28 countries with 128 different genetic conditions
Our Solution
The artificial intelligence behind our simple mobile interface has learned the phenotypes of thousands of real patients to detect genetic disorders in newborns and children
Our Solution