SearcharxivSearch

arXiv subjects

SeyedAli Ghahari

Publications and source records attributed to SeyedAli Ghahari.

2 recordsLinked to original sources

Clinical Trials Protocol Authoring using LLMs

This report embarks on a mission to revolutionize clinical trial protocol development through the integration of advanced AI technologies. With a focus on leveraging the capabilities of generative AI, specifically GPT-4, this initiative aimed to streamline and enhance the efficiency and accuracy of clinical trial protocols. The methodology encompassed a detailed analysis and preparation of comprehensive drug and study level metadata, followed by the deployment of GPT-4 for automated protocol section generation. Results demonstrated a significant improvement in protocol authoring, highlighted by increases in efficiency, accuracy, and the customization of protocols to specific trial requirements. Challenges encountered during model selection and prompt engineering were systematically addressed, leading to refined methodologies that capitalized on the advanced text generation capabilities of GPT-4. This project not only showcases the practical applications and benefits of generative AI in clinical trial design but also sets a foundation for future innovations in the field.

cs.CE

Impact of Major Health Events on Pharmaceutical Stocks: A Comprehensive Analysis Using Macroeconomic and Market Indicators

This study investigates the impact of significant health events on pharmaceutical stock performance, employing a comprehensive analysis incorporating macroeconomic and market indicators. Using Ordinary Least Squares (OLS) regression, we evaluate the effects of thirteen major health events since 2000, including the Anthrax attacks, SARS outbreak, H1N1 pandemic, and COVID-19 pandemic, on the pharmaceutical sector. The analysis covers different phases of each event beginning, peak, and ending to capture their temporal influence on stock prices. Our findings reveal distinct patterns in stock performance, driven by market reactions to the initial news, peak impact, and eventual resolution of these crises. We also examine scenarios with and without key macroeconomic (MA) and market (MI) indicators to isolate their contributions. This detailed examination provides valuable insights for investors, policymakers, and stakeholders in understanding the interplay between major health events and health market dynamics, guiding better decision-making during future health related disruptions.

cs.CE