Mitochondrial Energy and Environmental Toxins: Using the Latest in Organic Acids Testing
Join Dr. Dan Kalish for an information-packed webinar about interpreting organic acid testing for patients with fatigue, depression, anxiety and other problems associated with poor mitochondrial health.
Dr. Kalish will explain how environmental toxin exposure damages metabolism and how practitioners can use the OMX® Organic Metabolomics tests to assess this damage.
Watch and learn:
- How to interpret the energy production and detoxification sections of the OMX test
- About the latest scientific breakthroughs in determining the best treatments for mitochondrial problems, including mTOR and "hypometabolic states"
- How to use the OMX test to create protocols that optimize energy and detoxification

Presented by Dan Kalish, DC, IFMCP
Dr. Daniel Kalish is dedicated to teaching doctors Functional Medicine philosophy and practices. Through The Kalish Institute's educational programs he has trained over 1,000 practitioners worldwide in The Kalish Method which solves patient challenges through a proven lab based approach.
In May 2016 a research study published by two Mayo Clinic researchers confirmed the efficacy of the Kalish Method showing significant improvements in GI health and quality of life in the study participants. The study was based on Dr. Kalish's model of Functional Medicine based on 25 years of successful clinical results. Graduates of The Kalish Institute include practitioners ranging from Dr. Mercola's medical staff to Mayo Clinic and Cleveland Clinic physicians.
Special Offer: FREE CLASS at: Kalishinstitute.com/gimap – USE CODE: GIMAP
(Limited time offer. Normal price $199.)
Metabolomic Status
OMX is an advanced organic acids and amino acids profile.
Research-based insight to optimize patient health. Available in urine & plasma, or urine only profiles.
Results You Can Rely On
Research indicates that gut health impacts every area of human health.
Optimal health – it all starts with the GI-MAP ™ – Comprehensive DNA Stool Analysis via qPCR.