Article

c-Triadem: A constrained, explainable deep learning model to identify novel biomarkers in Alzheimer’s disease

2024-11-20

Abstract excerpt

Alzheimer’s disease (AD) is a neurodegenerative disorder that requires early diagnosis for effective management. However, issues with currently available diagnostic biomarkers preclude early diagnosis, necessitating the development of alternative biomarkers and methods, such as blood-based diagnostics. We propose c-Triadem (constrained triple-input Alzheimer’s disease model), a novel deep neural network to identif...

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Literature Corpus work: 80531d82-17ae-5a70-8f6a-45de1dce0647
DOI: 10.1101/2024.11.19.24317595

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