Optimized models and deep learning methods for drug response prediction in cancer treatments: a review
Wesam Ibrahim Hajim,
Suhaila Zainudin,
Kauthar Mohd Daud
et al.
Abstract:Recent advancements in deep learning (DL) have played a crucial role in aiding experts to develop personalized healthcare services, particularly in drug response prediction (DRP) for cancer patients. The DL’s techniques contribution to this field is significant, and they have proven indispensable in the medical field. This review aims to analyze the diverse effectiveness of various DL models in making these predictions, drawing on research published from 2017 to 2023. We utilized the VOS-Viewer 1.6.18 software… Show more
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