Precision Wellness Validates Performance of Predictive Risk Models to Power Precision Health

AI-Driven Approach Demonstrates High Accuracy in UK Biobank
Population of Hundreds of Thousands

PALO ALTO, Calif.–(BUSINESS WIRE)–Precision Wellness, Inc. a Silicon Valley-based company at the
intersection of next-generation AI, big data analytics and the latest
medical science, today announced the validation of its cardiometabolic
disease (CMD) predictive risk engine. The study
was performed as part of a sponsored research with Stanford University

to evaluate 416,936 individuals from UK Biobank (UKBB) population data
that were tracked longitudinally over six years.

In this study, Precision Wellness demonstrates the accuracy and high
predictive performance of its next-generation risk models. Risk
predictions were generated at the individual level and validated against
the UKBB longitudinal data. The risk models were validated for the
following interdependent and chronic diseases: Type 2 diabetes, stroke,
coronary artery disease, abdominal aortic aneurysm, and deep vein
thrombosis.

The economic burden and growing rate of cardiometabolic diseases in the
U.S. and globally is fueling the need for accurate and in-time risk
assessment. These early health-risk insights when combined with proper
lifestyle and nutritional interventions can have profound impact on an
individual’s health: preventing onset of disease, reversing the course
of disease, delaying the progression of disease, and avoiding the onset
of new disease or catastrophic events.

Additionally, with accurate health insights, risk bearing and
self-insured institutions can get an early glimpse into the individuals
that can be most responsive to early intervention.

Over the past two years, Precision Wellness has focused on developing a
state of the art risk engine, using multidimensional risk assessment
models, on a foundation of precision medicine. These risk models apply
extensive cardiovascular knowledge, data and an AI-driven analytic
platform to the challenge of accurately predicting an individual’s
future state of health. Precision Wellness believes this engine can
provide the backbone to any health and nutrition recommendation system
that works for wellness, disease prevention, weight loss and optimized
intervention at the individual and population level.

“These high-performing risk models have been designed to consider a
broad range of interrelated risk factors and comorbidities,” notes Dr.
Erik Ingelsson, Professor at Stanford University School of Medicine and
Scientific Advisor to Precision Wellness, “and is applicable to
population analysis, as well as individual assessment.”

Risk Model Performance Enhanced Using Contemporary Risk Factors

In addition to conventional risk factors (such as lipid levels and blood
pressure), these models include contemporary risk factors such as
genetics, socioeconomic data, lifestyle factors and comorbidities to
predict outcomes. This inclusion is becoming increasingly important,
especially as a large fraction of patients with CMD do not present their
risk using conventional risk factors.

“The inclusion of these additional risk factors improve disease
prediction and management to change the course of cardiometabolic
diseases,” explains Dr. Mehrdad Rezaee, President of Cardiac and
Vascular Care and Precision Wellness co-founder.

Risk Model Accuracy Validated Using Large Population Analysis

There are abundant risk predictors for CMD, but combining them into
accurate risk calculators has proven difficult because to do so requires
validation through large population analyses. Only a small number of
risk stratification models have been evaluated sufficiently to meet
contemporary analytic standards for either development or validation.

“External validation of risk assessment across large populations is
essential for the prescriptive accuracy required for precision health
and personalized medicine,” Dr. Rezaee emphasizes.

Precision Wellness risk engine has been verified across large population
and offers the most accurate predictor of cardiometabolic health. Using
Precision Wellness, self-insured organizations, healthcare providers and
payers can benefit from predictive insight and can deliver effective
programs that yield outcomes.

To learn more about the development and validation of the Precision
Wellness next-generation risk engine for CMD, read the entire
study
.

About Precision Wellness

Precision Wellness, Inc. is a leading scientific wellness and
bioanalytics company that offers organizations and individuals an
advanced, integrative approach to managing their health through
personalized health insights and nutritional intervention. The
data-driven Precision Wellness platform, powered by the latest in
nutritional science, multi-omics and next-generation AI, offers
the means to manage health through “food as medicine,” preventing
disease and supporting healthy aging. In addition to serving
individuals, our platform is ideal for large medical institutions,
corporate wellness programs, insurance companies, and other healthcare
enterprises. To learn more, visit www.precisionwellness.com.

Contacts

Malvika Behl
mbehl@precisionwellness.com
www.precisionwellness.com

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