Data Science and AI in Health

About

Why choose the Summer School ‘Data Science and AI in Health’?
Rapid advancements in data science, machine learning and artificial intelligence (AI) call for a new generation of clinicians and (clinical) scientists, who are able to develop and introduce new prediction models and treatment strategies in healthcare. Therefore, the University Medical Center Groningen (UMCG) organizes the new Summer School ‘Data Science and AI in Health’.

In the near future, data science and AI will cause major shifts in the way health research is conducted and care is provided. With a reported compound annual growth (CAGR) rate of 36% through 2025, healthcare data has one of the highest growing rates. These CAGR expectation rates make data science a powerful driver of innovation in all disciplines of healthcare (research).

Target audience
This Summer School is open for students from any discipline who have a specific interest in biomedical sciences, data science and AI.

Objectives
The aim of this new Summer School is to introduce young, enthusiastic researchers to the principles of data science and AI in healthcare and clinical research. Participants will be introduced to various aspects of data science, such as setting up and implementing a project. This includes both the collection and cleaning of data and the practical conduct of an initial (machine learning) analysis of the collected data. The data science assignments will be executed in an online web environment (Jupyter Notebooks), in collaboration with one or more local partners like PACE Innovation & Connected Care (UMCG), Centre for Information and Technology – Data Science (UoG) and dHealth Lab (dhealth.nl) and one or more commercial partners.

Before the start of the course, participants will be offered the opportunity to complete an online, Datacamp course to teach them basic skills that will be useful when participating in the Summer School 'Data Science and AI in Health'. At the end of the course, a networking event will be organized.

Social program
In addition to the educational program with interesting lectures and workshops by professors in the field of data science and AI, there is an elaborate social program to get to know each other better.

Additional information or interested?
Send your email to summerschoolAI@rug.nl

Course leader

Peter M.A. van Ooijen, PhD Bart Scheerder Michiel H.W. Hooiveld, PhD

Target group

This Summer School is open for students from any discipline who have a specific interest in biomedical sciences, data science and AI.

Course aim

The aim of this new Summer School is to introduce young, enthusiastic researchers to the principles of data science and AI in healthcare and clinical research. Participants will be introduced to various aspects of data science, such as setting up and implementing a project. This includes both the collection and cleaning of data and the practical conduct of an initial (machine learning) analysis of the collected data. The data science assignments will be executed in an online web environment (Jupyter Notebooks), in collaboration with one or more local partners like PACE Innovation & Connected Care (UMCG), Centre for Information and Technology – Data Science (UoG) and dHealth Lab (dhealth.nl) and one or more commercial partners.