This course introduces the application of Artificial Intelligence (AI) in biomedical engineering, focusing on medical image analysis, personalized medicine, and pharmaceutical innovation. Learners explore how AI techniques transform diagnostics, patient-specific treatments, and drug discovery.
Learning Outcomes
- Apply and configure AI-based diagnostic tools for medical image analysis in defined clinical or laboratory scenarios
- Analyze the role of AI-driven approaches in supporting personalized medicine tailored to individual patient characteristics
- Explain the contribution of AI technologies to pharmaceutical research and innovation, including selected use cases
Course Outline
- Foundations of AI in Biomedical Engineering
- AI-based Medical Imaging and Diagnostics
- Clinical Decision Support and Personalized Medicine
- AI in Drug Discovery and Pharmaceutical Innovation
- Ethical and Regulatory Aspects of AI in Healthcare
Course Modules
AI in Biomedical Engineering is structured around three modules
Module 1: Role of AI in Medical Imaging
Participants will explore the application of AI across multiple imaging modalities including X-ray, CT, MRI, ultrasound, and PET scans. The module begins by establishing foundational knowledge of AI's significance in healthcare imaging, then advances through technical implementations of convolutional neural networks, transfer learning, and specialized segmentation techniques. this module equips healthcare professionals with the knowledge to evaluate and implement AI-driven imaging solutions that enhance diagnostic accuracy and clinical decision-making.
Module 2: AI in Personalized Medicine
The module will discuss about the innovative application of AI in individualized healthcare. The module will begin with foundational precision medicine concepts, the course advances through critical aspects of medical data pre-processing before exploring Natural Language Processing applications in treatment optimization and risk stratification. The module examines the expanding role of wearable and IoT devices in continuous health monitoring. The participant will be equipped with comprehensive knowledge to navigate the technological capabilities of AI-driven personalized medicine.
Module 3: AI in Drug Discovery
This module is designed to equip working professionals and job-ready individuals in the biomedical and healthcare sectors with a comprehensive understanding of how artificial intelligence (AI) is reshaping the drug discovery landscape. The module concludes with a thorough examination of ethical considerations, addressing data privacy concerns, algorithmic bias, and regulatory requirements.