NEW YORK (GenomeWeb) – Israeli molecular diagnostics firm Pronto Diagnostics recently said that it has combined its suite of genetic tests with FDNA's Face2Gene phenotyping applications.

Pronto offers both next-generation sequencing-based gene panels and exome testing as well as single-gene molecular tests.

FDNA's Face2Gene technology uses facial analysis, deep learning, and artificial intelligence to improve molecular diagnostics. It enables clinicians to integrate phenotypic data into genetic testing pipelines in order to improve the chances of making a diagnosis.

To read the full story....

Register for Free.

Already have a GenomeWeb or 360Dx account?
Login Now.

A new analysis examines the gender gap among paper authors in the sciences and says it may take decades or more to close.

Researchers have uncovered signals of selection that may enable the Bajau people to free five hundreds of feet deep, Reuters reports.

In Science this week: paternally inherited cis-regulatory structural variants in autism, and more.

A new report outlines issues facing the implementation of personalized medicine in the UK, the Independent reports.

Apr
26
Sponsored by
Thermo Fisher Scientific

In this webinar, the second in the “New Frontiers in Liquid Biopsy Research” series, Luca Quagliata, Senior Consultant in the Molecular Pathology Unit at University Hospital Basel, will share two specific unmet needs within his lab’s liquid biopsy research that led to the eventual evaluation, adoption, and implementation of the latest liquid biopsy Oncomine NGS solutions from Thermo Fisher.

May
01
Sponsored by
Horizon Discovery

This webinar will provide an in-depth case study demonstrating how reference standards can be used to develop and validate circulating tumor DNA (ctDNA)-based assays.

May
08
Sponsored by
Dovetail Genomics

This webinar will discuss a proximity ligation-based method for studying structural variation in formalin-fixed paraffin-embedded (FFPE) tissue.

May
15
Sponsored by
Tecan

This webinar will discuss how an algorithm-driven synthetic biology system can enable engineering of biological systems for a range of applications.