AI-Driven Drug Response Testing and Prediction in Healthcare using Oracle Cloud Data Science and Machine Learning Platforms
DOI:
https://doi.org/10.15662/IJEETR.2025.0706008Keywords:
AI-driven healthcare, drug response prediction, Oracle Cloud, data science, machine learning, precision medicine, predictive analyticsAbstract
This research presents an AI-driven framework for drug response testing and prediction in healthcare, leveraging the capabilities of Oracle Cloud Data Science and Machine Learning platforms. The proposed model integrates large-scale biomedical datasets with advanced predictive analytics to identify patient-specific drug responses, optimize treatment regimens, and enhance clinical decision-making. By combining AI algorithms, cloud-based data pipelines, and automated model training, the system ensures scalability, reliability, and faster deployment of precision medicine solutions. Furthermore, the use of Oracle Cloud enables seamless data integration, real-time analytics, and secure healthcare data management. This approach demonstrates the potential of AI and cloud-enabled data science in improving drug efficacy analysis and supporting evidence-based, personalized healthcare.
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