How To Reduce Your Risk Of Cancer
This episode is brought to you by Athletic Greens and Eight Sleep.
An astonishing seventy percent of cancer is diet-related. When it comes to treating cancer, conventional medicine is good at cutting it, burning it, and poisoning it, but many doctors fail to treat the root cause. Functional Medicine empowers patients and practitioners to optimize health by addressing the root causes of disease.
In this episode of my new Masterclass series, I am interviewed by my good friend and podcast host, Dhru Purohit, about the cancer epidemic, including the biggest cancer risks.
Dhru Purohit is a podcast host, serial entrepreneur, and investor in the health and wellness industry. His podcast, The Dhru Purohit Podcast, is a top 50 global health podcast with over 30+ million unique downloads. His interviews focus on the inner workings of the brain and the body and feature the brightest minds in wellness, medicine, and mindset.
This episode is brought to you by Athletic Greens and Eight Sleep.
Right now, when you purchase AG1 from Athletic Greens, you will receive 10 free travel packs with your first purchase here.
Eight Sleep’s Pod Pro mattress is so smart that it adjusts your temperature and also gives you individualized recommendations on how to sleep better the next night. Save $150 at checkout and get yours here.
In this episode, we discuss (audio version / Apple Subscriber version):
- Five things we can do to reduce our cancer risk (4:08 / 00:56)
- The link between sugar and cancer (10:39 / 6:44)
- Emerging diagnostic tests and treatment options (12:56 / 9:24)
- My approach to handling a cancer diagnosis (15:35 / 12:10)
- Case study of a prostate cancer patient (18:10 / 14:56)
- Questions from our community on reducing risk, cancer education resources, foods to fight cancer, and more (24:20 / 19:25)
- Recap of how to reduce your cancer risk (32:06 / 27:34)
Mentioned in this episode:
Dr. Ralph Moss (Cancer Decisions)
Available Results
Generated results are saved to your library for reuse and search.
Choose Template
Pick the result you want. You can review provider and model before generating.
A concise first-pass summary for understanding the episode quickly.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
Repeatable methods, frameworks, mental models, processes, and systems.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Investment theses, assets, catalysts, valuation reasoning, time horizons, and risks.
Chronologies, actors, causes, consequences, turning points, and competing historical interpretations.
Policies, proposals, stakeholders, arguments, implementation constraints, and predicted effects.
Career paths, skills, hiring signals, workplace decisions, transitions, and limitations of the advice.
Behavioral mechanisms, biases, motivation, habits, emotions, interventions, and evidence limitations.
Economic mechanisms, incentives, indicators, market structure, forecasts, and uncertainty.
Leadership principles, team systems, organizational design, culture, feedback, and failure modes.
Audience, positioning, messaging, acquisition, retention, experiments, metrics, and failed approaches.
Teaching methods, learning strategies, practice, feedback, assessment, and effectiveness evidence.
Theses, premises, arguments, objections, values, thought experiments, and unresolved questions.
Communication patterns, conflict, boundaries, expectations, repair methods, and contextual limitations.
Books, papers, authors, courses, and other learning resources mentioned in the episode.
Repeatable methods, frameworks, mental models, processes, and systems.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Memorable statements and important claims with attribution and source context.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.