Selected Topics (Application of Machine Learning in Bioinformatics)

This course examines the integration of machine learning into precision medicine, emphasizing its impact on personalized healthcare. Students will explore supervised, unsupervised, and reinforcement learning methods for analyzing complex biological data. Key topics include omics-based diagnostics, functional and phenotypic analysis, and drug discovery applications. Hands-on sessions and real-world case studies provide practical experience in implementing machine learning in clinical settings. Students will develop skills to interpret models and design individualized treatment plans. The course highlights challenges and opportunities in precision medicine, fostering a deeper understanding of computational approaches in advancing preventative and personalized care.