The Israeli molecular diagnostics company will use artificial intelligence and phenotypic analysis to increase the diagnostic rate of its genetic tests.
The Vanderbilt Center for Undiagnosed Diseases will use FDNA's Face2Gene to help evaluate difficult-to-diagnose patients.
PreventionGenetics will use FDNA's technology to expand the diagnostic ability of its testing and interpretation services.
FDNA's technology uses facial analysis, deep learning, and AI to evaluate symptoms of patients with rare genetic diseases and suggest possible diagnoses.
The partnership combines sequencing with phenotype information to help diagnose patients with rare diseases.
MCRI is planning to integrate its POSSUMweb database into FDNA's Face2Gene software, in order to enhance its library of genetic syndrome data and images.
The deal will join the AmbryPort 2.0 clinical ordering platform with FDNA's Face2Gene next-generation phenotyping application suite.
FDNA's technology uses facial analysis, deep learning, and artificial intelligence to evaluate symptoms of patients with rare genetic diseases.
The integration could provide a more complete phenotypic picture that helps clinicians prioritize genetic variants that may have otherwise been missed.
Senator Lamar Alexander (R-Tenn.), who chairs the Senate health committee, will be retiring at the end of his term, Stat News reports.
UCSF researchers find that having two X chromosomes may contribute to women's longer lifespans, according to Discover's D-brief blog.
The Wall Street Journal reports on the US Centers for Disease Control and Prevention's use of genetic approaches to study foodborne illnesses.
In PNAS this week: immune cell profiling of wild baboons by social status, metabolomics profiling of esophageal tumors, and more.