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The Hallmarks of Predictive Oncology
Akshat Singhal1, Xiaoyu Zhao2, Patrick Wall3
1Department of Computer Science and Engineering, University of California, San Diego, La Jolla, California.
Significance:
As the field of artificial intelligence evolves rapidly, these hallmarks are intended to capture fundamental, complementary concepts necessary for the progress and timely adoption of predictive modeling in precision oncology. Through these hallmarks, we hope to establish standards and guidelines that enable the symbiotic development of artificial intelligence and precision oncology.
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