Supporting innovation in AI and healthcare
The four chosen projects:
Scientific Tinder for AMDS
A project by the Amsterdam Data Collective
With this project practitioners are able to find the needles in the haystack of important research articles on PubMed, so they can stay on top of the most important developments in their field. They can swipe right if they like a particular article – and articles with the most swipes are then shared with the larger community.
Real-time polyp classification in colonoscopy imagining data
A project by the University of Amsterdam
This project will use the grant to hire a student to start labelling the hundreds of raw videos of colonoscopies that can be used to teach a model to recognise whether a polyp is cancerous – and if so, at what stage it is.
Visualisation of coronary artery calcification
A project by MedicalVR
In this project they aim to train a neural network to recognise differences – and eventually visualise in virtual reality – the CT-scans of artery calcification. This would allow surgeons to practice operations on a patient’s digital reproductions before carrying out the actual operation. This technique has already been clinically validated for removing lung tumours – saving up to 50% more healthy lung tissue for the patient.
Predicting admission risk for heart patients
A project by Olivier Witteman Data Scientist at the VUmc
Cardiovascular disease remains the leading cause of death globally, and is the costliest of noncommunicable diseases since it often involves hospitalisation. The aim of this project is to identify the most high-risk patients in turn decreasing mortality and costs.
The Institute for Advanced Study (IAS) and Data Science Center (DSC) of the University of Amsterdam (UvA) are joining forces in a new joint fellowship for (teams of) researchers interested in exploring the intersection of data science and other disciplines. The first fellow of the new program, Dr. Davide Ceolin, will start his fellowship at the IAS on June 17. Ceolin is currently affiliated with CWI.
Nanda Piersma, lecturer at the University of Applied Sciences (AUAS), has been appointed as a crown member of the Social and Economic Counsil (SER). This is the first time that a lecturer has been appointed as member of the SER. Nanda Piersma was approached because of her expertise in the field of digitisation.
The ADS Thesis Awards aim to promote excellence in Data Science and AI from students at BSc and Master level. The Awards are open to students from all Amsterdam-based knowledge institutes.