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Course Outline
Foundations of Generative AI
- Reviewing core AI and machine learning principles
- In-depth analysis of generative model architectures
- Overview of the current generative AI landscape in healthcare
Generative AI in Pharmaceutical Development
- Utilizing AI to streamline drug design processes
- Case studies: Examining success stories and associated challenges
- Techniques for virtual screening and predictive modeling
Personalized Medicine via Generative AI
- Customizing patient treatments using AI insights
- Integrating genomics with AI for enhanced personalization
- Addressing ethical concerns in AI-driven personalized medicine
Evolution in Medical Imaging
- Enhancing diagnostic precision with generative AI
- Techniques for 3D medical imaging and AI-driven reconstruction
- Optimizing patient outcomes through AI-assisted imaging analysis
Practical Applications and Future Trajectories
- Incorporating generative AI into daily clinical workflows
- Exploring the future role of AI in patient management and care
- Capstone project: Designing an AI-based solution for a specific healthcare challenge
Ethical and Societal Considerations
- Navigating the complex ethical landscape of AI in medicine
- Addressing data privacy, security, and governance frameworks
- Preparing for the future: The role of policy and regulation
Recap and Future Pathways
Requirements
- A foundational grasp of machine learning concepts
- Proficiency in Python programming
- Basic knowledge of biological systems and healthcare operations
Target Audience
- Healthcare practitioners
- Data analysts
- Policy developers and makers
21 Hours
Testimonials (2)
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