Figure 1 from GPSai: A Clinically Validated AI Tool for Tissue of Origin Prediction during Routine Tumor Profiling

<p>Specimen selection for GPSai model training and validation. A total of 201,612 non-CUP specimens were used to train the model, 21,106 non-CUP specimens and 443 CUP specimens were used for retrospective validation, 6,820 TCGA cases were used for external validation, and 72,421 non-CUP and 3,...

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Main Author:	Hassan Ghani (22153682) (author)
Other Authors:	Anthony Helmstetter (22153685) (author), Jennifer R. Ribeiro (19801844) (author), Todd Maney (22153688) (author), Stephanie Rock (22153691) (author), Rebecca A. Feldman (15087553) (author), Jeff Swensen (21631991) (author), Farah Abdulla (22153694) (author), David B. Spetzler (19801874) (author), Elena Florento (22153697) (author), Ari M. Vanderwalde (15032856) (author), Patricia Pittman (22153700) (author), Milan Radovich (15045056) (author), Jaclyn Hechtman (22153703) (author), Casey Bales (22153706) (author), George W. Sledge (15561344) (author), Myra M. George (22153709) (author), David Bryant (22153712) (author), Jim P. Abraham (22153715) (author), Matthew J. Oberley (15029151) (author)
Published:	2025
Subjects:	Cancer Cancer Detection and Diagnosis Clinical Research and Trials Methods and Technology Algorithms Artificial Intelligence & Machine Learning Biomarkers Computational Methods Database Resources Diagnostic Biomarkers Gene Expression Profiling Precision Medicine Sequence Analysis
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Figure 1 from GPSai: A Clinically Validated AI Tool for Tissue of Origin Prediction during Routine Tumor Profiling

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