Decoding Women's Health Through Systems Biology and AI with Dr. Elena Ikonomovska

Описание: In this episode, Dr. Jeremy Koenig sits down with Dr. Elena Ikonomovska, a machine learning scientist and co-founder/CEO of Diadia Health, to explore how artificial intelligence and systems biology are revolutionizing women's health. Elena shares her journey from building algorithms at tech giants like Google and Reddit to turning her expertise inward when conventional medicine failed to address her own health struggles. She reveals how normal lab ranges often conceal systemic disease, especially in women, and introduces a groundbreaking approach that analyzes the dynamic interplay between hormones, immunity, and metabolism to enable precision prediction and personalized healing.


Key Takeaways

🧬 Standard lab ranges are misleading – Normal TSH levels can hide low T3 thyroid hormone levels in 75% of women, leading to missed diagnoses and years of suffering

🔗 Systems biology reveals hidden connections – Health issues like hypothyroidism, insulin resistance, and nutrient deficiencies don't exist in isolation but interact in complex patterns that traditional medicine overlooks

🤖 AI-powered precision health – Machine learning can decode the relationships between biomarkers, genetics, symptoms, and lifestyle factors to create personalized health optimization strategies

🎯 Individual optimal ranges matter – Standard lab ranges reflect the status quo of an unhealthy population; true health requires targeting your unique optimal ranges based on genetics and health history

💪 Women must become health advocates – Comprehensive testing of thyroid, sex hormones, metabolism, and immunity at least twice yearly, combined with data-driven insights, empowers women to demand better care

🔬 Genetic context transforms biomarker interpretation – Understanding genetic variants (like DIO2 for thyroid conversion) explains why the same lab values mean different things for different people

🌟 Functional medicine meets technology – Diadia Health combines expert functional medicine knowledge with AI analysis to fill gaps in women's health research and create actionable protocols

📊 Continuous monitoring enables experimentation – Regular biomarker testing every three months allows for hypothesis testing and discovery of what interventions actually work for your unique biology

🧘 Trauma impacts physiology – Immune dysfunction, histamine reactions, and mast cell activation can stem from traumatic events, requiring both biological support and trauma healing

🚀 Citizen science is the future – Taking ownership of health data and participating in collaborative research helps build better datasets and optimal ranges for women's health prevention


About the Guest

Dr. Elena Ikonomovska is a machine learning scientist with a PhD in artificial intelligence and the co-founder and CEO of Diadia Health, a precision health company reimagining women's health through systems biology and data intelligence. Before founding Diadia Health, Elena built algorithms that powered decision systems at Google, Reddit, and Change.org. She has also worked in blockchain technology focusing on real-time spam and scam detection. Her work unites data science with empathy to decode the dynamic interplay between hormones, immunity, and metabolism, revealing new pathways toward understanding and healing in women's health.

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Here's the link for this week's episode: https://drjeremykoenig.substack.com/.