Course Outline
Introduction to Generative AI
- Understanding AI and machine learning fundamentals
- Deep dive into generative models
- The landscape of generative AI in healthcare
Generative AI in Drug Discovery
- Accelerating drug design with AI
- Case studies: Success stories and challenges
- Virtual screening and predictive models
Personalized Medicine through Generative AI
- Tailoring treatments with AI
- Genomics and AI: A new era of personalization
- Ethical considerations in AI-powered personalized medicine
Advancements in Medical Imaging
- Enhancing diagnostics with generative AI
- 3D medical imaging and AI reconstruction techniques
- Improving patient outcomes with AI-assisted imaging
Real-World Applications and Future Directions
- Integrating generative AI into clinical practice
- The future of AI in patient care and management
- Final project: Proposing an AI solution for a healthcare challenge
Ethical and Societal Implications
- Navigating the ethical landscape of AI in healthcare
- Data privacy, security, and governance
- Preparing for the future: Policy and regulation
Summary and Next Steps
Requirements
- Basic understanding of machine learning concepts
- Familiarity with Python programming
- Introductory knowledge of biology and healthcare systems
Audience
- Healthcare professionals
- Data analysts
- Policy makers
Testimonials (3)
Excellect knowledge level of the trainer
Pawel Dykowski - LKQ Polska Sp. z o. o.
Course - Microsoft 365 Copilot Chat for Word, Excel, PowerPoint, and Outlook
I really appreciated the examples, they were relevant to almost any industry. Kevin's calm demeanour and approachable manner really helped. His broad knowledge and suggestions about how to generate prompts was deeply appreciated.
Colin Calnan - Canarie
Course - Microsoft 365 Copilot
Trainers can answer all questions and accept any queries