Using Face2Gene to reference all my department’s cases, share information with my colleagues and quickly look up relevant information in the London Medical Databases Online saves me …

Deep Learning and Computer Vision. Deep learning algorithms build syndrome-specific computational-based classifiers (syndrome gestalts) Proprietary technology converts a patient …

Combining DeepGestalt, FeatureMatcher and extensive gene mutation databases, this algorithm enables correlation of NGS results with all the phenotypic information captured by the above …

Every patient has their own story: their own journey, their own symptoms, their own genes, their own face and voice. Technology now exists to learn from those stories to help recognize these …

When you add a photo to Face2Gene, the technology automatically extracts a digital representation of the face, which is not identifiable. Only the de-identified facial data is …

Explore the variables that may impact facial phenotype, such as age, treatment status, or causative gene . How To Get Started . Enter your research cases in Face2Gene CLINIC and …

Enhanced Patient Evaluation with Next-Generation Phenotyping Enhance your patient evaluations with Face2Gene, a suite of phenotyping applications powered by computer vision, …

Park S, Kim J, Song T-Y and Jang D-H (2022) Case Report: The success of face analysis technology in extremely rare genetic diseases in Korea: Tatton–Brown–Rahman syndrome …

Face2Gene is a suite of apps that help clinicians detect facial dysmorphology and review syndrome matches.

Included With Every Subscription Search for Syndromes. Easy access to detailed syndrome descriptions; Review features most relevant for each syndrome