AI in Healthcare Personalized Medicine: Your Digital Twin

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AI in Healthcare Personalized Medicine: Your Digital Twin

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À propos de cet audio

One-size-fits-all medicine fails millions of patients. This episode explores how AI enables treatments tailored to your unique biology. Miles traces the genomics revolution from hundred-million-dollar genome sequencing to thousand-dollar accessibility, explaining how AI analyzes genetic data to predict drug responses and guide cancer treatment selection. Beyond genetics, AI integrates wearable device data, lifestyle factors, and environmental inputs to create digital twins that forecast diseases before symptoms appear, from diabetes to cardiovascular risks to mental health crises. Real-time treatment optimization for insulin delivery and chemotherapy dosing shows personalized medicine in action. However, serious challenges emerge: privacy concerns, data ownership questions, algorithmic bias, health equity gaps, insurance discrimination fears, and complex consent issues in big data healthcare.
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This content was created in partnership and with the help of Artificial Intelligence AI

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