Gets to the heart of colonoscopy with new deep learning method.

Published Date: 09 Aug 2023

The use of artificial neural networks to detect potentially cancerous growths in colonoscopy images has been improved by the development of two modules, which address the issue of image noise that has traditionally plagued this field.

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Suboptimal sleep health, reflected in low sleep proteomic scores, is consistently associated with an increased risk for cancer, particularly gastrointestinal malignancies.

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