Skip to main content
Premium Trial:

Request an Annual Quote

Aridhia, Pivotal Collaborate on Stratified Medicine Informatics

NEW YORK (GenomeWeb News) – Aridhia said this week that it is partnering with Pivotal to build a technology platform for analyzing and managing data about chronic health conditions such as cancer, diabetes, and cardiovascular disease.

According to Aridhia, the partners will use the Pivotal One platform to provide applications and services that will enable healthcare, life, and biomedical sciences researchers and clinicians to analyze large amounts of clinical, patient, imaging, and genomic data. This should help them obtain a comprehensive picture of the factors affecting patients' treatment and healthcare outcomes and lead to more personalized therapies.

"There is an urgent clinical and economic need to manage [chronic] conditions more effectively, which is why we are excited to have the opportunity to join forces with Pivotal," Aridhia CEO and Chairman David Sibbald said in a statement.

He added that the collaboration will "allow us to enhance our existing biomedical informatics solutions," as well as deliver other "advanced informatics services" for stratified medicine.

"With healthcare budgets being squeezed, and chronic disease a growing problem in an ageing population across the world, the application of advanced analytics aligned to clinical practice will become increasingly important," Chris Roche, Pivotal's chief technology officer in Europe, Middle East and Africa, added. "Applied in this way, the right technology has the potential to assist with the proper targeting of resources and the effective mitigation of the effects of diabetes, cancer, respiratory and cardiovascular disease worldwide."

The Scan

Study Links Genetic Risk for ADHD With Alzheimer's Disease

A higher polygenic risk score for attention-deficit/hyperactivity disorder is also linked to cognitive decline and Alzheimer's disease, a new study in Molecular Psychiatry finds.

Study Offers Insights Into Role of Structural Variants in Cancer

A new study in Nature using cell lines shows that structural variants can enable oncogene activation.

Computer Model Uses Genetics, Health Data to Predict Mental Disorders

A new model in JAMA Psychiatry finds combining genetic and health record data can predict a mental disorder diagnosis before one is made clinically.

Study Tracks Off-Target Gene Edits Linked to Epigenetic Features

Using machine learning, researchers characterize in BMC Genomics the potential off-target effects of 19 computed or experimentally determined epigenetic features during CRISPR-Cas9 editing.