Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 21 hours
Course Outline
Introduction to Generative AI
- Fundamentals of AI and machine learning
- In-depth exploration of generative models
- The current landscape of generative AI in healthcare
Generative AI in Drug Discovery
- Expediting drug design through AI
- Case studies: Analyzing successes and challenges
- Virtual screening and predictive modeling
Personalized Medicine through Generative AI
- Customizing treatment plans with AI
- Genomics and AI: Entering a new era of personalization
- Ethical frameworks for AI-driven personalized medicine
Advancements in Medical Imaging
- Enhancing diagnostic accuracy with generative AI
- 3D medical imaging and AI-based reconstruction
- Optimizing patient outcomes through AI-assisted imaging
Real-World Applications and Future Directions
- Integrating generative AI into clinical workflows
- The evolving role of AI in patient care and management
- Final project: Designing an AI-driven solution for a specific healthcare challenge
Ethical and Societal Implications
- Navigating the ethical complexities of AI in healthcare
- Data privacy, security, and governance standards
- Preparing for the future: Policy and regulatory landscapes
Summary and Next Steps
Requirements
- A foundational grasp of machine learning concepts
- Working familiarity with Python programming
- Introductory knowledge of biological principles and healthcare system operations
Target Audience
- Healthcare practitioners
- Data analysts
- Policy makers
Testimonials (3)
Comprehensiveness about the backround; how to do a prompt.
Olaf Kannt - Helios Klinikum Krefeld
Course - Generative AI and Prompt Engineering in Healthcare
the tips and recommended prompts that we can take away from this training
Lee Mei Lin - ST Engineering IHQ Pte Ltd
Course - InVideo AI: Creating Engaging Short-Form Videos
use of proper and effective prompt