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There’s an idea bubbling up in medicine called the “digital twin.” The concept is to take personal health data like genetics, blood test results, tissue samples, MRI scans, and family history, and create a digital model of a patient that can be used to predict how a treatment might work for them. Think personalized medicine supercharged by AI.
For example, cancer researchers are working on models that would create radiation and chemotherapy treatment plans based on the specifics of a patient’s tumor. But these models aren’t ready for the clinic yet, and with so much patient data involved, privacy concerns abound.
There’s an idea bubbling up in medicine called the “digital twin.” The concept is to take personal health data like genetics, blood test results, tissue samples, MRI scans, and family history, and create a digital model of a patient that can be used to predict how a treatment might work for them. Think personalized medicine supercharged by AI.
For example, cancer researchers are working on models that would create radiation and chemotherapy treatment plans based on the specifics of a patient’s tumor. But these models aren’t ready for the clinic yet, and with so much patient data involved, privacy concerns abound.
Host Flora Lichtman talks with Caroline Chung, a radiation oncologist at the forefront of digital twin research.
Guest:
Dr. Caroline Chung is a radiation oncologist and the co-director of the Institute for Data Science Oncology at UT MD Anderson Cancer Center.
Transcripts for each episode are available within 1-3 days at sciencefriday.com.
Subscribe to this podcast. Follow our show on Instagram, TikTok, Facebook, and Bluesky @scifri and sign up for our newsletters. Got a science question that’s keeping you up at night? Call us: 877-472-4374
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
QUICK LINKS
This is an episodic podcast, so you can listen to it in any order, but episode one is a great place to start.
Listen to episode one hereThere’s an idea bubbling up in medicine called the “digital twin.” The concept is to take personal health data like genetics, blood test results, tissue samples, MRI scans, and family history, and create a digital model of a patient that can be used to predict how a treatment might work for them. Think personalized medicine supercharged by AI.
For example, cancer researchers are working on models that would create radiation and chemotherapy treatment plans based on the specifics of a patient’s tumor. But these models aren’t ready for the clinic yet, and with so much patient data involved, privacy concerns abound.
Host Flora Lichtman talks with Caroline Chung, a radiation oncologist at the forefront of digital twin research.
Guest:
Dr. Caroline Chung is a radiation oncologist and the co-director of the Institute for Data Science Oncology at UT MD Anderson Cancer Center.
Transcripts for each episode are available within 1-3 days at sciencefriday.com.
Subscribe to this podcast. Follow our show on Instagram, TikTok, Facebook, and Bluesky @scifri and sign up for our newsletters. Got a science question that’s keeping you up at night? Call us: 877-472-4374
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Sound Carrot is your source for Family Podcast Discovery. Verified awesome, 0% boring.
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(Some shows do contain their own ads however).
At first I made this site for my kids, but like any dad I got a little over excited. I hope you find it as useful as they do.
Whether you want to listen to them together in the car, or alone in your room - the content is all safe for younger ears.
