AI-Driven Health Monitoring: Preventing Disease Before It Starts With: Dr. Azra Raza
Dr. Azra Raza discusses the transformative potential of continuous AI-driven health monitoring to detect diseases like cancer before symptoms arise. She describes implantable devices capable of screening the entire bloodstream every 18 days for abnormal cells and molecular biomarkers, enabling intervention at the earliest possible stage. While FDA approval for these devices is pending, point-of-care technologies already allow high-frequency testing for illness signatures at home. Raza highlights the urgency of funding these innovations, emphasizing that early detection could shift healthcare from reactive treatment to true prevention.
Episode Contents:
About the Guest
Dr. Azra Raza is a Professor of Medicine at Columbia University, pioneering cancer research and early detection technologies. Learn more at: https://en.wikipedia.org/wiki/Azra_Raza
Key Takeaways
- Continuous monitoring devices could detect cancer biomarkers within 18 days
- Point-of-care tech can identify illness signatures before symptoms appear
- Lack of funding slows the path to FDA approval for life-saving devices
Transcript Summary
Why isn’t continuous health monitoring a reality yet?
Despite tech that can detect cancer biomarkers in real time, funding and approval barriers delay deployment.
How would it work?
Implantable devices could monitor blood for molecular changes every 18 days, detecting illness before symptoms.
What’s possible now?
Point-of-care devices can test for high-risk illness signatures at home while implantables await approval.
More Topics
- AI in Patient Care
- AI in the Healthcare Industry
- AI and Medical Innovation
- Healthcare Ethics and Policy
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About the Series
AI and Healthcare—with Mika Newton and Dr. Sanjay Juneja is an engaging interview series featuring world-renowned leaders shaping the intersection of artificial intelligence and medicine.
Dr. Sanjay Juneja, a hematologist and medical oncologist widely recognized as “TheOncDoc,” is a trailblazer in healthcare innovation and a rising authority on the transformative role of AI in medicine.
Mika Newton is an expert in healthcare data management, with a focus on data completeness and universality. Mika is on the editorial board of AI in Precision Oncology and is no stranger to bringing transformative technologies to market and fostering innovation.