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Ahvie Herskowitz

Former Clinical Professor of Medicine at UCSF and founder of Anatara Medicine, a multidisciplinary integrative center in San Francisco

Top 3 podcasts with Ahvie Herskowitz

Ranked by the Snipd community
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23 snips
Nov 23, 2023 • 1h 11min

Everything You Need To Know About Colon Cancer Early Detection, Preventive Remedies, Cutting-Edge Medical Treatments & More With Dr. Ahvie Herskowitz.

Dr. Ahvie Herskowitz, Founder of Anatara Medicine, discusses early cancer detection, preventive remedies, cutting-edge medical treatments, and the increase of colon cancer in younger populations. They explore the importance of electrolytes, glyco-calix, and the Cologard test for colon cancer detection. They also touch on alternative treatments, regular bowel movements for detoxification, and various tests and protocols for preventing colon cancer.
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4 snips
Aug 17, 2023 • 1h 15min

East Meets West Medicine: Blood Oxygenation & Ozonation, Early Cancer Detection, Mold Eradication & Much More

Dr. Ahvie Herskowitz, former Clinical Professor of Medicine at UCSF and founder of Anatara Medicine, discusses cutting-edge medical treatments like ultrasound-guided injections, extracorporeal blood oxygenation and ozonation, and early cancer detection via liquid biopsies. He also talks about Anatara Medicine's unique approach to immune modulation and holistic wellness. The podcast explores topics like the benefits of light energy, skincare and amino acids, ACAM research on blood filters and ozone therapy, the effects of vitamin C supplementation, alkaline diet marketing tactics, and the prevalence and treatment of mold toxicity.
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Jul 22, 2024 • 1h 31min

Clues About Drivers of Chronic Disease- Discussion Between Ahvie Herskowitz and Dr. Mercola

Dr. Ahvie Herskowitz discusses microbiome problems, leaky gut, and their connection to diseases like cancer and autoimmune disorders. The podcast explores advanced treatments for complex illnesses, the impact of toxins on chronic diseases, strategies for optimizing health and longevity, and advancements in deep learning techniques for predicting protein folding.