IN THE NEWS
Blue Health Intelligence and Decode Health Team Up to Validate the Accuracy of Predictive Models for Chronic Disease
CHICAGO (March 10, 2020) – Blue Health Intelligence® (BHI®) and Decode Health are showing how a machine learning (ML) engine can be applied to large data sets to more accurately forecast which patients will get chronic diseases. Decode’s analysis used a representative subset of BHI’s National Data Repository, the largest and [read more...]
Data Analytics Holds Promise of Dramatically Improving Outcomes for Patients with Autoimmune Disease.
The movement to embrace predictive analytics, which has been gathering steam over the past several years, will be especially important as hospitals seek to improve their capabilities to forecast, detect and monitor chronic conditions, especially autoimmune diseases. Read the Article
Predictive Analytics: How Big Data Will Improve Outcomes and Efficiencies in Diagnosing and Treating Patients
A growing body of research in the exciting field of predictive and prescriptive analytics suggests that if you input large datasets—drawn from millions of healthcare claims or electronic medical records, for example—sophisticated algorithms can identify patterns that deliver meaningful diagnostic information for patients with a wide range of conditions. These [read more...]
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Next-generation RNA sequencing unlocks the discovery of novel candidate biomarkers for diagnostic and therapeutic applications, but reproducibility is a key challenge in biomarker discovery programs. Integrating multi-faceted quality control (QC) steps can improve design decisions and enhance the confidence and reliability of results. This webinar will demonstrate how a comprehensive QC framework supports a disease-agnostic biomarker discovery program to identify biologically relevant candidate biomarkers of complex disease and how this framework can be adapted for total RNA sequencing of whole blood, plasma, and serum samples.
