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Optimization of Clinical Trial Strategies for Anti-HER2 Drugs Based on Bayesian Optimization and Deep Learning

2025-01-13

Abstract excerpt

The optimization of clinical trial strategies for anti-HER2 drugs is imperative for the acceleration of the development of effective cancer therapeutics. This study proposes a sophisticated framework that integrates Bayesian optimization and deep learning to enhance the design and execution of clinical trials of anti-HER2 drugs. Utilizing established Bayesian models, the proposed approach integrates deep neural ne...

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Literature Corpus work
b225bf7d-c764-56c2-9c35-84fcc12406db
DOI
10.20944/preprints202501.0913.v1
Open publication

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Optimization of Clinical Trial Strategies for Anti-HER2 Drugs Based on Bayesian Optimization and Deep LearningDOI 10.20944/preprints202501.0913.v1
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