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Predictive modelling for clinical trial completion: assessing the phase success - incorporating RAG techniques for predictive modelling of clinical trial outcomes
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| 1.57 MB | Adobe PDF |
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Resumo(s)
This study investigates predictive modeling of clinical trial completion using the HINTBasic
and HINTPlus models. By integrating multimodal datasets, the models predict clinical trial
phase success. It provides interpretability insights into the HINTPlus model's decision-making
process. Retrieval-Augmented-Generation techniques were used to contextualize results. Our
findings support informed decision-making, optimize resource allocation, and accelerate drug
development in clinical trials.
Descrição
Palavras-chave
Clinical trials Health care Artificial Intelligence Machine learning methods Predictive modelling Model interpretability Contextuality Retrieval-Augmented Generation