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Using Data Analytics to Predict, Detect and Monitor Chronic Autoimmune Diseases
According to the American Autoimmune Related Diseases Association, autoimmune diseases are among the most prevalent diseases in the U.S., affecting approximately 50 million Americans — or 20 percent of the population. Among the 80–100 different types of autoimmune diseases that have been identified by researchers, annual direct health care costs add up to around $100 [read more...]
AI Experts Advising IQuity
The leaders of local health care data company, IQuity, have recruited two well-known local tech executives to help them develop their new data mining and analytics platform.
IQuity Shifts From Test-Maker To Data Miner And Analyzer
IQuity is developing a health-care analytics platform that will mine large databases to predict and monitor chronic disease across large populations, transforming the company from a genomics test-maker to an "integrated data science company."
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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.
