AI tool aims to spot lung cancer risk earlier
NCT ID NCT07408531
Summary
This study is testing whether an artificial intelligence tool called Sybil can better predict who is at risk for lung cancer. Researchers will enroll 2,500 current or former smokers aged 50-80 to see if using Sybil and expanded screening rules can find more at-risk people than current guidelines. The study also involves optional blood tests to look for new biological markers of risk.
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Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Breathe Chicago Center
Chicago, Illinois, 60608, United States
Contact Phone: •••-•••-•••• Email: •••••@•••••
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UI Health 55th and Pulaski Health Collaborative
Chicago, Illinois, 60629, United States
Contact Phone: •••-•••-•••• Email: •••••@•••••
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University of Illinois Cancer Center
Chicago, Illinois, 60612, United States
Contact Phone: •••-•••-•••• Email: •••••@•••••
Conditions
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