Could a ‘digital twin’ help you get better health care?

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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.

Host Flora Lichtman talks with Caroline Chung, a radiation oncologist at the forefront of digital twin research.


Further Reading

  • Your digital twin might save your life, via The Harvard Gazette
  • Digital twins, the holy grail of preventative health, are still only a ‘Frankensteinian proof of principle,’ via STAT

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Segment Guests

Caroline Chung

Dr. Caroline Chung is a radiation oncologist and the co-director of the Institute for Data Science Oncology at UT MD Anderson Cancer Center.

Segment Transcript

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Meet the Producers and Host

About Flora Lichtman

Flora Lichtman is a host of Science Friday. In a previous life, she lived on a research ship where apertivi were served on the top deck, hoisted there via pulley by the ship’s chef.

About Shoshannah Buxbaum

Shoshannah Buxbaum is a producer for Science Friday. She’s particularly drawn to stories about health, psychology, and the environment. She’s a proud New Jersey native and will happily share her opinions on why the state is deserving of a little more love.

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