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A Convolution-Based AI Neural Network Achieves 90% Accuracy in Predicting Cancer Type Based on Copy Number Alterations

2023-07-25

Abstract excerpt

The accurate identification of the primary tumor origin in metastatic cancer cases is crucial for guiding treatment decisions and improving patient outcomes. Copy Number Alterations (CNA) have emerged as valuable genomic markers for predicting the origin of metastases. This research article presents a comprehensive analysis of CNA-based prediction models in metastatic cancer. The study utilizes a dataset comprisin...

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Literature Corpus work
faca1c9c-59da-5ba4-960c-75600299d1d9
DOI
10.20944/preprints202307.1653.v1
Open publication

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A Convolution-Based AI Neural Network Achieves 90% Accuracy in Predicting Cancer Type Based on Copy Number AlterationsDOI 10.20944/preprints202307.1653.v1
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