FDNA Announces Collaboration with GeneDx and Blueprint Genetics in the Launch of Face2Gene LABS

May 24, 2017

VentureBeat 

“Today, FDNA announces its collaboration with two of the most reputable genomics testing labs in the world, GeneDx and Blueprint Genetics. The collaboration will fully integrate FDNA analysis into the genetic testing workflow of these labs by enabling clinicians to share phenotypic data with these labs in real time. This marks the first time clinicians will have the ability to send phenotypic data, including facial analysis collected through FDNA’s Face2Gene suite, directly to labs, paving the way for a new precision medicine industry standard.”

 

The article states that FDNA announced a collaboration with GeneDx and Blueprint Genetics to launch Face2Gene LABS, an advanced decision support tool designed to improve genetic diagnostics. Face2Gene LABS leverages FDNA’s robust AI-powered technology to analyze facial features, aiding in the identification of genetic disorders. By integrating this tool, GeneDx and Blueprint Genetics aim to enhance their diagnostic capabilities and streamline the clinical workflow. The launch of Face2Gene LABS signifies a significant advancement in personalized medicine, highlighting the growing importance of AI and machine learning in the field of genetic testing. This collaboration highlights the potential of Face2Gene LABS to transform genetic diagnostics.

 

 

Related articles

Dr. Bruno

The Importance of Teaching Face2Gene to Pediatricians

In the world of rare genetic diseases, early diagnosis is often the key to better patient outcomes. However, the diagnostic journey can be long and complex, sometimes taking years before a definitive answer is found. Dr. Bruno Bordest, a Brazilian geneticist who teaches at the Universidade Federal de Mato Grosso, has been working to bridge […]

Continue reading
AI in genetic diagnosis

The Evolution of FDNA’s technology: An Interview with Aviram Bar Haim

Analyzing facial features has long been a vital step in diagnosing genetic syndromes. In recent years, AI-driven technologies have transformed this process, making it more efficient and accurate. Leading this innovation is Face2Gene, an advanced AI platform that leverages machine learning to assist clinicians in identifying genetic disorders. To explore the development of this groundbreaking […]

Continue reading