About Lab Me & Our Vision

Detect Early Signs, Forecast Future Diseases, Reduce Premature Death.

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Our Mission

Since 2017 we have believed there is a better way to get & to understand blood testing.

A more valuable, less invasive way – where individuals are in control. We’re deeply passionate about it, and our mission is to help others accurately and affordably have control over their health. 

We focus on at-home blood & health testing.  In addition to, easily understandable & trackable results.

Learn why this is critical by clicking here.

Our vision is to improve our client’s health outcomes while lowering nationwide healthcare costs by preventing, predicting, and reducing lifestyle-based disease through the use of blood biomarker data and machine learning.

Our mission is to affordably, reliably, & accurately detect potential disease, reduce early death, improve patient outcomes, and improve lifespan using artificial intelligence paired with advancing laboratory, web, and mobile technologies.  

Our Purpose Is To

Make Preventative Healthcare Accessible

1 out of 6 will die from a lifestyle-based disease.  

That means that 1 out of 6 could have prevented their death by way of better lifestyle choices.

We realize that not every individual is willing to make such changes however we also realize that often you do not have enough information to warrant such changes.

After all, the first symptom of heart attack is the heart attack itself.  Having access to blood data in the past has been extremely difficult, time-consuming, and costly.

It’s our purpose and mission to change this in a significant way.  A way that reduces mortality due to lifestyle-based disease is through personal empowerment.  It’s your health, you should have the ability to own it and Lab Me is here to help.  

Read about us on Medium.

Lab Me - Advisory Board

Ben Horne

Dr. Ben Horne

Intermountain Healthcare, Stanford University

Dr. Horne has been with Intermountain since 1996 and also holds an appointment as a Clinical Associate Professor (Affiliated) in the Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine (Stanford, CA).

Dr. Horne was trained at the University of Utah and is a fellow of the American Heart Association and a fellow of the American College of Cardiology. His research focuses on population health and precision medicine from a variety of perspectives.

Dr. Horne has published extensively regarding the genetics of heart diseases, the predictive ability of clinical laboratory tests for health outcomes, and the creation and implementation of clinical decision tools for personalizing medical care and improving the health of people with no history of disease and those who carry chronic disease diagnoses

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Konstantin Abreev

Dr. Konstantin Arbeev

Duke University, Max Planck Institute

Ph.D. degree in Mathematics and Physics (specialization in Theoretical Foundations of Mathematical Modeling, Numerical Methods, and Programming).

His research interests encompass three interrelated disciplines: bio-demography, biostatistics, and genetic epidemiology which include such topics as bio-demography of aging; genetic bio-demography; biostatistical and bio-demographic models of aging, mortality, and longevity; joint models for longitudinal and time-to-event data; and genetic and non-genetic determinants of aging, longevity, and health-span.

Dr. Arbeev authored and co-authored more than 100 peer-reviewed publications in these areas.

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Nina Paynter

Dr. Nina Paynter

ex-Harvard Medical School, Johns Hopkins

Biostatistics & Epidemiologist from Johns Hopkins, previous Brigham and Women’s Hospital Lecturer on Medicine, & ex-Harvard Medical School.

Dr. Paynter’s main research interests are the interrelationship of the major cardiovascular risk factors (including type 2 diabetes, blood pressure, lipids, inflammation, body mass index, exercise, and diet) and the effects of genetic and metabolic factors on these interrelationships. 

Her focus has been primarily on cardiovascular risk prediction and has also included the development and evaluation of risk prediction methods. 

She also serves as the Associate Director of the Data Coordinating Center for the Cardiovascular Inflammation Reduction Trial.

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Yuriy Zhukov

Dr. Yuriy Zhukov

Ex-Mayo Clinic, Cardio-Thoracic Surgeon

Dr. Zhukov is an MD specializing in Cardiothoracic surgery, starting his career at Mayo Clinic – he now resides on the east coast of the USA.

Dr. Zhukov has a Cardiothoracic Surgeon Fellowship and is a part of the AOA Honors Society

“Lab Me is a tool that can add value to both patient and doctor alike.  Whether it is tracking the effectiveness of a medication, a rehabilitation program, or recovery from treatment – it speeds up time and creates a decision process that is data driven.”

The Right Team With A Unified Vision & Sense Of Humor

Dr Anthony Close About Lab Me

Dr Anthony Close

Founder

Geeks out on biology and chemistry to  a point of making your eyes glaze over.  Broke his C1 but still rides motorcycles.

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Denny Blackwhite

Denny Pratama

Lead ui/ux

Once taught photoshop how to use photoshop.  Deemed the Usain Bolt of mock-up design.

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About Lab Me

Luan Lopez

Back-end development

Discovered the meaning of life but forgot to write it down yet can code it if necessary.

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Gregg Lewis Bw

Gregg Lewis

director

Business operations guru.  Fantasizes  about watches and shoes during lunch breaks.

 

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Screen Shot 2021 08 03 At 8.50.06 Pm

Constance Marrero

Customer Success Manager

Understands you better than yourself.  Also, can talk to dogs better than Cesar Millan.

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Theo Oliveira

Theo Oliveira

eCommerce Engineer

Has a disease called e-commerce development.  Created an entire website using only two hands.

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About Lab Me

Efrain Ortiz

Human Resources

Don’t worry, you don’t find him, he finds you.  Can read body language via text.

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Find Out What Your Body Is Trying To Tell You

Your blood doesn't lie. Track your progress and adjust based on real-time feedback from your body.  Lab Me make it affordable and easy using at-home blood testing.

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