Invitation: Machine Learning in Health that Matters July 5th
14. May 2024
On July 5th at the UZH Digital Society Initiative we will be holding an exciting combination of events:
- Workshop on Neuro-Symbolic AI in Medicine with a special focus on using Large Language Models and Knowledge Graphs together (morning) (in-person)
- Prompt- and Hackathon on addressing real-world clinical data challenges with NSAI, KGs and LLMs (afternoon) (in-person), followed by
- DSI Health Seminar Series lecture by Leo Anthony Celi on “Machine Learning in Health that Matters: Building an AI-Ready World” and a networking apéro 🤩 (in-person and online)
If you are interested, please register here.
Here is more detail about the planned schedule:
Time | Title | Speaker |
09:00-09:10 | Welcome | Ernesto and Janna |
09:10-09:30 | Introduction to the AMS Network NSAI-Med | Ernesto and Janna |
09:30-10:00 | Neural-symbolic Knowledge Representation with Ontology and Knowledge Graph Embeddings | Jiaoyan Chen |
10:00-10:30 | What do Knowledge Graph Embeddings actually Learn? | Heiko Paulheim |
10:30-11:00 | Coffee | |
11:00-11:30 | Neurosymbolic techniques for relation extraction from text | V. Raghava Mutharaju |
11:30-12:00 | A perspective on Neuro-symbolic approaches for Knowledge Graph Refinement and Explanations | Claudia d’Amato |
12:00-12:30 | Considerations for pediatric AI/ML from a global health perspective | Joel Schamroth |
12:30-13:30 | Lunch | |
13:30-14:00 | Hackathon/Promptathon LLMs and KGs for Medicine – Topic Pitches | Group Leaders |
14:00-15:00 | Work in Groups | All |
15:00-15:30 | Coffee and Work in Groups | |
15:30-16:00 | Work in Groups | All |
16:00-16:30 | Feedback Presentations from Groups | Group Leaders |
17:00-18:00 | Machine Learning in Health that Matters: Building an AI-Ready World | Leo Anthony Celi |
18:00-19:00 | Apéro and Networking | All |
If you are interested in attending the lecture online, please use this Zoom link:
Join Zoom Meeting
https://uzh.zoom.us/j/64446392695?pwd=vYd0RXXdn45xaZcVLan3P5KapudeuB.1
Meeting ID: 644 4639 2695
Passcode: 683727
We are looking forward to seeing you there!