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BioSignia’s R&D staff regularly contributes papers to disease management, health and wellness and life insurance industry journals. Read on to further explore the scientific underpinnings to the company’s technology and unique approach to chronic disease risk prediction.

PEER REVIEWED PAPERS RESEARCH PAPERS


Hu, G. and Root, M. Accuracy of prediction models in the context of disease management. Disease Management: 8:42-47 (2005).
Abstract

 

Building prediction models for coronary heart disease by synthesizing multiple longitudinal research findings. European Journal of Cardiovascular Prevention and Rehabilitation, 12:459-464 (2005).
Abstract

Combining information from multiple data sources to create multi-variable risk models: Illustration and preliminary assessment of a new method. Journal of Biomedicine & Biotechnology, 2:113-123 (2005).
Abstract

Dietary effects on non-traditional risk factors of heart disease. (a review) Nutrition Research 24:827-838 (2004).
Abstract

Prescribe by risk: The utility of a biomarker-based risk calculation in disease management to prevent heart disease. Disease Management, 8:106-113 (2005). Abstract

Hu, G. and Lesneski, E. The differences between claim-based health risk adjustment models and cost prediction models. Disease Management: 7:153-158 (2004).
Abstract

Assessing risk for coronary heart disease: Beyond Framingham. American Heart Journal 146:572-580 (2003).
(An editorial, no abstract)
 


The composite biomarker: a novel technology to predict statin disease prevention efficacy, longitudinal outcomes, and pharmacoeconomic impact.
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Mortality Assessment Technology: a new tool for life insurance underwriting.
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Comparisons of BioSignia’s Mortality Assessment Technology with life insurance company’s existing underwriting system in defining preferred class.
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Synthesis analysis: Innovative biostatistics for drug development and human diagnostics.
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Development of Diabetes Complication Progression Model
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