Connecting the Dots: Biology at Scale in the Age of AI - Session 1

Overview

Explore cutting-edge AI applications in biological prediction models, featuring expert discussions on bridging computational and biological approaches to advance scientific discovery.

Syllabus

• Introduction to AI in Biology
Overview of AI and machine learning concepts
Historical perspective on computational biology
• AI-Driven Biological Prediction Models
Types of models (e.g., neural networks, decision trees)
Data integration in biological predictions
• Bridging Computational and Biological Approaches
Challenges of interdisciplinary integration
Case studies in AI and biology collaboration
• Expert Discussions
Keynote: The role of AI in transforming biology
Panel discussion: Future directions and ethical considerations
• Hands-on Workshop
Building a simple biological prediction model
Tools and software commonly used in AI for biology
• Advancing Scientific Discovery with AI
Recent breakthroughs enabled by AI
Potential AI innovations in biological research
• Wrap-up and Future Prospects
Summary of key learnings
Opportunities for further study and research in AI and biology

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Subjects

Data Science