Multivariate Time-Series Forecasting and Biomarker Trajectory Modelling: Advanced Predictive Analytics Frameworks for Pharmaceutical Research and Development
Keywords:
multivariate time-series forecasting, biomarker trajectory modelling, advanced predictive analytics frameworks, pharmaceutical research, machine learningAbstract
The application of advanced predictive analytics in pharmaceuticals, driven by artificial intelligence (AI), is revolutionizing how drug efficacy and safety are forecasted. In recent years, AI technologies—such as machine learning (ML), neural networks, and deep learning—have increasingly integrated into pharmaceutical research and development (R&D), enabling more precise predictions of drug performance across diverse patient populations.Downloads
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