Foundation Models for Biology, Across Scales

Overview

Discover the potential of foundation models in the field of biology with an enlightening session led by Jean-Philippe Vert. This talk delves into the synergy between biomedical science and artificial intelligence, offering insights into how AI can impact and enhance biological research across various scales.

Whether you're interested in AI, biology, or the intersection of these fields, this session is not to be missed. Available via YouTube, it falls under the categories of Artificial Intelligence Courses and Computer Science Courses, amplifying your understanding of cutting-edge advancements.

Syllabus

• Introduction to Foundation Models in Biology
Overview of foundation models
Importance in biology and biomedical science
• Scales of Biological Systems
Molecular Scale
Cellular Scale
Organismal Scale
Environmental and Ecosystem Scale
• Foundation Models at the Molecular Scale
Protein folding and structure prediction
Genomics and transcriptomics
• Foundation Models at the Cellular Scale
Cell segmentation and classification
Single-cell data interpretation
• Foundation Models at the Organismal Scale
Organ development and physiology models
Disease modeling and prediction
• Foundation Models at the Environmental Scale
Ecosystem dynamics
Modeling species interaction and biodiversity
• Jean-Philippe Vert's Invited Talk
Intersection of biomedical science and AI
Case studies and applications
• Building and Training Foundation Models
Data requirements and preparation
Model architecture specific to biological data
• Applications and Case Studies
Drug discovery
Personalized medicine
Conservation biology
• Challenges and Future Directions
Ethical considerations in AI and biology
Computational and infrastructure challenges
• Conclusion and Review
Summary of key concepts
Open questions and areas for further research

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Subjects

Computer Science