Rethinking Precision Medicine: From Mutations to Molecular Pathways

In this episode of The Promise of Personalized Medicine, Perry sits down with Aditya Pai, a genetic counselor by training and a leader at Genialis, where he works at the intersection of biology-driven analytics, AI, and oncology drug development.

Aditya brings a practitioner’s and innovator’s perspective to what personalized medicine truly means today—moving beyond one-size-fits-all care and even beyond single-gene mutations, toward a more holistic understanding of disease biology. Together, they explore how RNA-based insights, pathway-level analysis, and machine learning are reshaping how cancers are understood, treated, and studied across the drug development lifecycle.

Aditya shares insights about:

• Why personalized medicine is not new—but how advances in AI, transcriptomics, and systems biology are making it more actionable than ever
  
  
  
• How biology-driven, pathway-level approaches outperform single-mutation thinking in complex diseases like cancer
  
  
  
• The role of AI and machine learning in building “foundation models” for cancer that help explain response, resistance, and relapse
  
  
  
• Using therapeutic intelligence to improve drug discovery, clinical trial design, patient stratification, and combination therapy decisions
  
  
  
• How diagnostics are increasingly guiding therapeutics, and why elevating the value of diagnostic insights is critical to accelerating adoption
  
  
  
• The continued importance of clinical guidelines—and how they can coexist with truly individualized care
  
  
  
• Real-world examples where understanding underlying biology unlocked better outcomes, even when mutations alone fell short
  
  
  

This episode offers a thoughtful, forward-looking look at how personalized medicine is evolving—from clinical care to population-level insights—and what it will take to translate cutting-edge science into meaningful, ethical, and accessible outcomes for patients.

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