Summer School on Computational Tools for Prediction - from Idea to Clinic
In an amazing setting, Villa San Remigio in Verbania with beautiful views over Lake Maggiore in northern Italy, we recently spent 4 days attending a course learning more about computational tools for prediction in medicine.
The course covered the whole journey from idea to deployment:
- how to find out what needs stakeholders (patients and clinicians) have,
- how to design a tool that meets these needs,
- how to address ethical and legal regulations when handling sensitive date
- how to design tools that are fair
- how to handle IP rights
- how to harmonize data
- approaches for sharing sensitive data, making it FAIR
- different computational approaches for prediction using health data
We also had several inspirational talks:
Robot automation in Rheumatoid Arthritis diagnosis – the Arthur Ultrasound AI Robot by Dr Rajeeth Savarimuthu University of Southern Denmark
Addressing Bias, Generalizability, Explainability, Interpretability by Professor Peter Elkin University of Buffalo
From Graph to LLMs; from Bioinformatics to equivariant properties by Prof. Pietro Lio Cambridge University
The students developed ideas for predictive tools and assessed ethical compliance as well as made plans for carrying out such a project taking all aspects they had learned into account. We were very impressed by the design of their project and how much of what was taught that they had managed to incorporate in their project descriptions.
The students also presented their research from their PhD or post doc studies. The poster session was full of discussions with new ideas and connections being formed.
The beautiful, quiet environment was perfect for learning and interactions between participants. We also got plenty of exercise every morning walking up a hill from the hotels to the Villa San Remigio where we held the summer school.
Thank you so much to all the students and teachers for making this a memorable occasion from which we all came home with new knowledge.
If you wish that you had been part of the course, please let us know – we are exploring possibility of offering it again. Send an e-mail to: wisdom.horizon.2023@gmail.com
