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Explore the complex journey of drug discovery and development in this 45-minute conference talk that examines how artificial intelligence and personalized medicine are transforming pharmaceutical research. Discover the intricate process behind creating medications available at pharmacies, from initial concept to market-ready treatments, including simple pills, mRNA vaccines, and gene therapies. Learn about the critical "translational gap" between laboratory research and human patients, examining how findings in cell cultures and animal models often fail to reflect the complexity of human biological processes. Investigate current technological advancements aimed at improving drug development, including organs-on-chip technology that may eventually replace animal studies, while understanding the persistent challenges of standardization, model system limitations, and clinical biases. Analyze the role of AI applications throughout the pharmaceutical development continuum, from beneficial automation of image analysis that frees researchers for meaningful work to potentially problematic uses like LLMs summarizing complex scientific data with questionable accuracy and reproducibility. Examine the paradigm shift from developing drugs for large patient populations toward precision and personalized medicine targeting smaller, more heterogeneous patient groups with rare diseases, and understand how this transition affects pricing strategies and market dynamics. Consider how the rise of personalized medicine challenges traditional pharmaceutical business models, potentially ending the era of blockbuster drugs as intellectual property rights expire and industry landscapes face significant disruption.
