Preview Mode Links will not work in preview mode

 

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

Jan 3, 2023

Dr. Shrujal Baxi is a medical oncologist and the Chief Medical Officer at Iterative Health pioneer in precision medicine technologies for gastroenterology. The Iterative SKOUT polyp detection tool provides algorithmic assistance to physicians during a colonoscopy to improve the ability to detect and remove polyps. With colon cancer getting diagnosed at a younger age, it is increasingly important to detect polyps as early as possible.

Shrujal explains, "I think there's a lot of science in the space for detection of precancerous tumors throughout the body. In colon cancer currently, it's still very anatomic, which is we look for polyps, we look for abnormalities, dysplasia, we look for things that we can see on the end of the camera that's a colonoscopy. We flag them, and we try to remove them. Now, many of those lesions may never have gone on to become cancer. Part of this is our learning, over time, that there are certain polyps or certain lesions that are more likely to become cancerous, and can we target our interventions and only resect those."

"What we found is that in studies, and these are out there, when physicians do colonoscopies in the morning versus when they're done in the afternoon, there's more polyp detection in the morning than in the afternoon. And we can postulate why that might be, but it suggests that pattern recognition requires a level of sort concentration that is still a human-dependent process."

"By having AI in the background running alongside the physician's interpretation, if the physician found every one of those polyps on their own, that's great. If the physician happens to have tired eyes by the end of the day, the polyp detection tool is there to make sure that doesn't get missed. It's not meant to replace the physician. It's meant to be there to sort of be an extra set of flags, so to speak."

@Iterative_Hlth #ArtificialIntelligence #AI #Gastroenterology #Colonoscopy #ColonCancer #PatientCentricity #PrecisionMedicine

iterative.health

Download the transcript here

Iterative Health