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City of Hope, TGen Researchers Develop Machine-Learning Tool to Detect Cancer Earlier via Liquid Biopsy
The innovative “fragmentomics” approach could one day allow doctors to identify cancer in patients sooner than possible today using smaller blood draws.
United states
Kamel lahouel
Cristian tomasetti
City of hope center
Translational genomics research institute tgen
Tgen integrated cancer genomics division
John hopkins university
Translational genomics research institute
Science translational
Cancer prevention
Alu profile learning using sequencing
Integrated cancer genomics division
Early detection
City of hope
Machine learning
Early biopsy
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