Close Menu

NEW YORK — Medidata, a developer of life science data management and analysis software, said on Friday that it has partnered with non-profit Project ALS to study amyotrophic lateral sclerosis (ALS) using the company's machine learning-based Rave Omics biomarker discovery platform.

According to Medidata, Rave Omics is designed to capture and analyze genomic, proteomic, transcriptomic and other omic data during clinical studies in order to identify biomarkers that can be used for patient stratification. Rave Omics is managed by Medidata subsidiary Acorn AI.

To read the full story....

...and receive Daily News bulletins.

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

Don't have a GenomeWeb or 360Dx account?
Register for Free.

Novavax has begun a phase III trial of its SARS-CoV-2 vaccine, according to the New York Times.

The governor of New York says the state will conduct its own review of any SARS-CoV-2 vaccine, NPR reports.

Vox reports that the Trump Administration may limit student visas for individuals from some countries to two years.

This week in Science: Neanderthal Y chromosomes replaced by Homo sapiens Y chromosomes, and more.

Sep
30
Sponsored by
LGC SeraCare Life Sciences

Non-invasive prenatal testing (NIPT) continues to expand globally to support maternal-fetal patient care. 

Oct
01
Sponsored by
Adaptive Biotechnologies

T cells are the adaptive immune system’s first responders to any virus, circulating in the blood to detect and quickly multiply to attack the virus, and also support the development of antibodies by B cells. 

Oct
08
Sponsored by
Genecentric

This webinar, Part 3 of the “Advances in RNA-based Biomarker Development for Precision Oncology” webinar series sponsored by GeneCentric Therapeutics, will discuss novel and emerging applications of RNA-based genomic analysis in precision oncology, form characterizing the tumor microenvironment to informing the development of immuno-oncology treatments.

Oct
21
Sponsored by
Roche

Target enrichment has been a major driver behind the clinical adoption of next-generation sequencing (NGS) over the last decade because it simplifies analysis and provides a cost-effective method of massive parallel resequencing. It has not only replaced Sanger sequencing, but it is actively dispensing the need for parallel copy number variant (CNV) analysis using classic techniques.