Artificial Intelligence and Big Data in Pharma

AI and big data analytics are revolutionizing pharmaceutical R&D and decision-making processes. This session opens with an overview of how machine learning is transforming early drug discovery and repurposing efforts. Real-world case studies will show how algorithms are predicting molecular interactions, optimizing lead compounds, and identifying biomarkers from complex datasets. Speakers will also discuss how AI supports pharmacovigilance and real-time monitoring during clinical trials. A segment will explore natural language processing in mining literature and clinical reports, which accelerates hypothesis generation and regulatory documentation. Participants will also see how digital twins and simulation tools are enhancing patient-centric modeling.

Challenges related to data integrity, model transparency, and algorithm bias will be addressed. Industry leaders will discuss ethical and regulatory considerations in deploying AI in high-stakes pharmaceutical environments. This track will offer attendees practical strategies for integrating AI and data science into their workflows to boost productivity, precision, and innovation.

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