Celmatix Relies on Informatics to Identify Biomarkers of Female Infertility for Diagnostic Test | GenomeWeb

By applying a series of algorithms to patients’ clinical and genomic data, New York City-based biotechnology firm Celmatix hopes to develop a noninvasive diagnostic test for female infertility that includes both phenotypic and genotypic biomarkers.

Specifically, the company's data scientists and biostatisticians are using machine-learning algorithms to build analytical models using clinical data from patients with unexplained infertility, including hormone levels and age, to understand how specific patients compare to other women with similar conditions.

Get the full story with
GenomeWeb Premium

Only $95 for the
first 90 days*

A trial upgrade to GenomeWeb Premium gives you full site access, interest-based email alerts, access to archives, and more. Never miss another important industry story.

Try GenomeWeb Premium now.

Already a GenomeWeb Premium member? Login Now.
Or, See if your institution qualifies for premium access.

*Before your trial expires, we’ll put together a custom quote with your long-term premium options.

Not ready for premium?

Register for Free Content
You can still register for access to our free content.

In Science this week: genetic analysis of pollutant-tolerant fish, and more.

Researchers have found a rare carbapenem resistance gene on a US pig farm, NBC News reports.

New York officials are considering the use of a familial DNA search to get a lead on a suspect in the strangulation death of a runner.

NIH Director Francis Collins has selected a retired Army major general and cardiologist for the CEO spot at the agency's embattled Clinical Center.