MODULE 1

Introduction to Personalized Medicine (15 Hours)

• The concept of personalized medicine and its historical development
• The role of AI in transforming personalized medicine
• Overview of genetic markers and their importance in treatment customization

MODULE 2

Genomics and Bioinformatics in Personalized Medicine (20 Hours)

• Fundamentals of genomics and proteomics
• Introduction to bioinformatics tools and databases
• AI applications in genomics data analysis

MODULE 3

Machine Learning for Genetic Data Analysis (20 Hours)

• Machine learning algorithms for genomic data interpretation
• Predictive modeling for disease susceptibility and drug efficacy
• Case studies on AI-driven discoveries in personalized medicine

MODULE 4

Integrating Patient Data with AI Models (15 Hours)

• Use of EHRs in personalized medicine
• Data privacy and ethical considerations in patient data usage
• Developing AI models that incorporate diverse patient data for personalized treatment

MODULE 5

Ethical, Legal, and Social Implications (10 Hours)

• Ethical considerations in AI and personalized medicine
• Navigating legal frameworks and patient consent
• Addressing social implications and ensuring equitable access to personalized medicine

MODULE 6

Capstone Project on AI in Personalized Medicine (20 Hours)

• Application of AI techniques to a personalized medicine project
• From data collection to model development and analysis
• Presentation of findings and potential implications for patient care