AI in general and Machine Learning specifically aims to infer knowledge from the outside world given observations (data) and using the dictates of statistics. Recent advances in machine learning have created stunning breakthroughs in our ability to recognize patterns in massive amounts of data. This enables many new and exciting applications with far reaching implications for society. An important and urgent application area of machine learning is the healthcare sector: with an aging population, the continued affordability of quality healthcare requires significant progress in our ability to prevent, diagnose and treat illness and promote health. We believe that machine learning is central to this challenge, and recent advances are opening the door to many high impact applications, for example in imaging, early health problem detection, and in such areas as neuroprosthetics.
The Amsterdam Machine Learning Lab for Health (AML4HEALTH) is a collaboration between the Informatics Institute of the University of Amsterdam and the Centrum Wiskunde & Informatica (CWI) within the Amsterdam Datascience Institute ADS. The mission of this Lab is to provide the missing link between the advanced knowledge of deep learning and statistics in academics and the needs expressed by practitioners and stakeholders in the healthcare sector. For this we aim at various levels of research cooperation, from fundamental research to problem inspired strategic research. Our goal is to engage in private-public partnerships as well as collaborations with other knowledge institutes and hospitals.