In this episode of Project Synapse, we explore the innovative use of AI in veterinary oncology with Dr. Christopher Pinard. Dr. Pinard, a veterinary oncologist, discusses his journey from coding HTML in grade school to developing AI-driven solutions for cancer in pets. He shares insights on the challenges and opportunities within veterinary medicine, the impact of AI on clinical efficiency, and the future of personalized medicine for pets. We also delve into issues like regulatory challenges, the importance of context in AI models, and the potential of federated learning. If you're interested in the intersection of AI and veterinary medicine, this episode is a must-watch!

00:00 Introduction to Project Synapse
01:12 Meet Christopher Pinard: Veterinary Oncologist
01:27 The Evolution of Veterinary Specialties
02:02 Training and Clinical Trials in Veterinary Oncology
03:21 AI in Veterinary Medicine
03:48 The Intersection of Veterinary and Human Medicine
04:34 Challenges in Veterinary Medicine
05:19 Cancer Statistics in Pets
09:12 Protein Folding and AI in Drug Development
23:48 AI Scribes and Summarization in Veterinary Medicine
35:43 Guardrails to Prevent Hallucinations
36:57 Embedding Models and Knowledge Graphs
37:49 Introducing Hero: The Rationalization Engine
38:11 Grading Methodology for AI Outputs
39:18 Using Multiple Models for Fact-Checking
43:54 Extracting Data from Clinical Records
45:45 The Future of Domain-Specific AI Models
48:16 Challenges and Opportunities in Veterinary AI
50:55 Federated Learning and Bias Mitigation
55:03 The Importance of Regulation and Education
01:01:50 Starting a Veterinary AI Business in Canada
01:08:00 Future Directions in Veterinary Oncology
01:08:58 Conclusion and Farewell