New York, NY (PRWEB) February 04, 2015
FDNA, the pioneer in computer-aided dysmorphology analysis, has announced today that it has completed full integration with London Medical Databases LMD Online. This new offering allows Face2Gene users, for the first time, complete online access to the Baraitser-Winter Database London Medical Databases.
FDNA will exhibit, at the ACMG 2015 meeting in booth #811, in Salt Lake City UT the latest version of Face2Gene, which includes full multiplatform support for PCs, Macs and smart mobile devices. Face2Gene is the only available genetic search and reference solution using facial analysis technology. Attendees are invited to a personal, one-on-one demonstration of Face2Gene, to link to LMD Online, and create their personal case library - an exclusive free service allowing genetic professionals to build, in minutes, their own unlimited, and secure, HIPAA compliant searchable personal case library. Face2Gene is also featuring an online expert community for "Unknown" cases on March 26th in a theatre presentation during ACMG.
“LMD adds an important reference requested by Face2Gene users worldwide. This completes the full and online integration of Face2Gene with the most reputable dysmorphology database collection” said Dekel Gelbman, FDNA's Chief Executive Officer. “We are excited to present at ACMG 2015 the online expert community, developed by Geneticists and for Geneticists” added Mr. Gelbman.
Face2Gene® is a genetic search and reference solution powered by FDNA® (Facial Dysmorphology Novel Analysis) technology. Face2Gene facilitates detection of facial dysmorphic features and recognizable patterns of human malformations to present comprehensive and up-to-date genetic references. Face2Gene aids and empowers in accelerating and increasing confidence in the research and investigation of genetic syndromes. The solution leverages advanced algorithms and the cumulative experience of hundreds of genetics professionals and tens of thousands of analyzed cases. FDNA’s technology improves over time, referencing comprehensive phenotype databases in real-time. For more information, please visit http://www.FDNA.com