Artificial intelligence is entering the most intimate frontier of all, our bodies.

It predicts illness before symptoms appear, discovers new drugs in a fraction of the time, tracks the rhythms of our biology through wearables, and even models the science of ageing.

But as AI begins to diagnose, predict, and measure us with extraordinary precision, one question becomes unavoidable:

Is AI helping us live longer… or simply tracking our decline more accurately?

In this episode of Decoded: AI for Everyone, we explore how AI is reshaping modern medicine through early diagnosis, rapid drug discovery, personalised health data, and emerging longevity science.

We also examine the ethical tension between empowerment and overdiagnosis, privacy and prediction, wellness and inequality.

In this episode:

• How AI detects cancers and cardiac risks years before human doctors
• How drug discovery is shifting from 10 years… to 10 weeks
  How wearables and health apps turn our bodies into datasets
• The rise of digital twins and personalised longevity plans
• The risks of overdiagnosis, health anxiety, data inequality, and “longevity privilege”
• What AI-powered healthcare means for you, your family, and your future

Because the future of medicine isn’t just technological.
It’s profoundly human.

Stream's Saturday at 12 pm AEST

Resources:

• decoded-podcast.com
• strategen-ai.com
• promptengineeringcookbook.com
• linkedin.com/company/decoded-ai-for-everyone

Referenced Research & Tools

• Google Health, Breast Cancer AI: health.google/clinical-research/breast-cancer-screening
• Mayo Clinic, ECG AI: mayoclinic.org/medical-professionals/cardiovascular-diseases/news
• DeepMind, Retinal Diagnosis: deepmind.google/discover/blog/ai-for-50-eye-diseases
• AlphaFold, Protein Modelling: deepmind.google/discover/alphafold
• Insilico Medicine, AI Drug Discovery: insilico.com
• Apple Watch, Heart Health: apple.com/healthcare/apple-watch
• NIH, Biological Age Research: nia.nih.gov

Season 2 of Decoded: AI for Everyone is powered by Strategen AI: Where Research Meets Execution.