BIOT 5900 — Emerging Innovations in Biotechnology and Pharma
3 semester hoursGraduateLecture
Explores emerging scientific and technological innovations in biotechnology and pharmaceutical development. Introduces data-driven approaches, machine learning concepts, and analytical methods used across discovery and manufacturing. Examines how these tools shape target identification, molecular design, diagnostics, and bioprocess optimization. Reviews ethical and societal considerations related to digital technologies in the life sciences. Surveys national and international regulatory frameworks, including guidance for AI/ML applications. Students analyze datasets, interpret computational results, and evaluate regulatory documents. Emphasizes clear, professional communication of scientific and policy insights while highlighting how technological and regulatory advances influence decisions across the biopharmaceutical landscape.