Coursera Spring Sale
40% Off Coursera Plus Annual!
Grab it
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 lines and animal models often fail to reflect human biological complexity. Investigate current technological advancements aimed at improving drug development processes, including organs-on-chip technology that may eventually replace animal studies, while understanding persistent challenges in 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 problematic applications like using large language models to summarize complex scientific data despite accuracy and reproducibility concerns. Examine the paradigm shift from developing blockbuster drugs for large populations toward precision medicine targeting smaller, heterogeneous patient groups with rare diseases, understanding how this transition affects pricing strategies and market dynamics. Consider how the rise of personalized medicine challenges traditional pharmaceutical business models as intellectual property rights for major drugs expire, potentially ending the blockbuster drug era and reshaping the entire biopharmaceutical landscape.
