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Welcome to the Empowered Patient Podcast with Karen Jagoda.  This show is a window into the latest innovations in applying generative AI, novel therapeutics and vaccines, and the changing dynamics in the medical and healthcare environment. One focus is on how providers, pharmaceutical companies, and payers are empowering patients.  In addition, conversations are often about how providers, care facilities, pharmaceutical companies, and payers are being empowered by technology to improve patient outcomes and reduce friction across the healthcare landscape.

Popular Topics

  • Virtual and digital health
  • Use of AI, ML, and LLM in healthcare and drug discovery, development, trials
  • Value-based healthcare 
  • Precision and stratified medicine
  • Integration of digital technology into existing workflow and procedures 
  • Next-generation immuno, cell, and gene therapies
  • Vaccines
  • Biomarkers, sequencing, and imaging
  • Rare diseases
  • MedTech and medical devices
  • Clinical trials
  • Addressing Social Determinants of Health
  • Treating chronic conditions like obesity and pain
  • Clinician and staff burnout

The audience includes life science leaders, researchers, medical professionals, patient advocates, digital health entrepreneurs, patients, caregivers, healthcare solution providers, students, journalists, and investors. 


Check out our new EmpoweredPatient.Solutions site where you can quickly search all of the Empowered Patient Podcast interviews by any word or phrase to identify useful resources, potential partners, and insights about the life sciences landscape.

Empowered Patient Solutions

Mar 31, 2021

Derek Maetzold, President and CEO, Castle Biosciences is harnessing the power of genomics to understand the biology of skin cancer. Castle has developed genomic tests to determine how aggressive melanoma and squamous cell carcinoma are in order to better inform dermatologist and patients about intervention decisions. With both diagnostic and prognostic tests and assist from artificial intelligence machine learning-based algorithms, calculations are made for assessing the risk of developing metastatic disease for each individual patient.

@CastleBio #SkinCancer #Melanoma #SquamousCellCarcinoma #GenomicTesting #Dermatology

Listen to the podcast here

Castle Bio