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.
National Geographic reports that marine mammals have lost a gene that could make them more susceptible to organophosphate damage.
NPR reports on Human Cell Atlas Consortium's effort to catalog all the different cell types within the human body.
The Union of Concerned Scientists surveyed US government scientists about Trump Administration policies and more, Science reports.
In PNAS this week: history and genetic diversity of the scarlet macaw, approach for predicting human flu virus evolution, and more.