We predict how YOU will respond to different weight loss interventions through biological samples, patient assessments, and machine learning.
Leading physicians from Mayo Clinic, Drs. Andres Acosta and Michael Camilleri, studied over 700 patients and found that obesity can be categorized as four different diseases requiring different treatments. We refer to these as obesity phenotypes: Hungry Brain, Hungry Gut, Emotional Hunger, and Slow Burn.1 Obesity phenotyping empowers providers to use precision medicine to individualize treatment, and was shown to double the amount of weight lost.
Acosta, A., Camilleri, M., Abu Dayyeh, B. (2021) Selection of Antiobesity Medications Based on Phenotypes Enhances Weight Loss: A Pragmatic Trial in an Obesity Clinic. Obesity, 29(4) 662-671. https://doi.org/10.1002/oby.23120.
President Obesity Medical Association
Co-director and co-founder of the Scottsdale Weight Loss Center in Scottsdale, Arizona
"Like cancer care, we started out with "chemotherapy" based on area of the body affected. Now with advanced cancer testing (genetic), we can tailor cancer therapies exactly to the patient affected. If we were able to do that in obesity it would be invaluable. It would be the next revolution in obesity treatment."
Secretary/Treasurer Obesity Medical Association
Associate Director MGH Weight Center at Massachusetts General Hospital
"Currently, we must choose therapy based on clinical history and trial and error. If we had a way to expedite and predict best treatment this would guide our clinical decision making and provide better outcomes quicker with less time and money spent by the patient to accomplish their weight and health goals. If the cost of testing replaces even one clinical visit for example then it is worth it as it may take us many visits and many months to find the best therapy. Having some guidance in this would facilitate the best care."
Assistant Professor (Ret), Northern Arizona University
Vice President, Arizona Nurse Practitioner Council
Past President, American Association of Nurse Practitioners
"If we can prove that the Phenomix Science blood test predicts response and helps direct choice of treatment, it would be transformative. Our current "trial and error" method of selecting therapies is clunky, to say the least. Instead of guessing which drug to prescribe and waiting 3 months to see if it works, the provider would have the information at hand to rationally choose a therapy and know in advance that there was a high likelihood of response."