Can AI make us smarter than cancer
summary
Claim: AI improves personalized cancer care by merging genome, imaging, labs and demographics to predict treatment response, reduce trial-and-error and cut screening costs. Demonstrated tools include scikit-learn, pyGeno and Google's DeepVariant, and an ensemble of radiology and histopathology classifiers. A reported but unpublished effort builds a deep learning network combining CT and demographics. Main barriers are where and how to fuse differently shaped modalities, insufficient multi-source data, optimization for clinical use, and upskilling clinicians and technicians.
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