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Invitation: Machine Learning in Health that Matters July 5th

Invitation: Machine Learning in Health that Matters July 5th Article Image

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 apĂ©ro 🤩 (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!