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Universitair Medisch Centrum Utrecht, Julius Centrum, Epidemiologie , Nederlands Kanker Instituut, Antoni van Leeuwenhoek Ziekenhuis, Moleculaire Pathologie , Nederlands Kanker Instituut, Antoni van Leeuwenhoek Ziekenhuis , LUMC , Department of Research, Netherlands Comprehensive Cancer Centre Organisation (IKNL) , Universiteit Twente , NIVEL - Nederlands instituut voor onderzoek van de gezondheidszorg , Universitair Medisch Centrum Utrecht , Technische Universiteit Delft, Faculteit Technische Natuurwetenschappen, Multi-Scale Physics (MSP), Clouds, Climate & Air Quality , Nederlands Kanker Instituut , Erasmus Universiteit Rotterdam , Technische Universiteit Delft , Technische Universiteit Delft, Faculteit Civiele Techniek en Geowetenschappen, Afdeling Geoscience & Remote Sensing (GRS) , Radboud universitair medisch centrum , NWO-institutenorganisatie , Universiteit Twente, Faculty of Behavioural, Management and Social sciences (BMS), Health Technology and Services Research , Erasmus Universiteit Rotterdam, Erasmus School of Health Policy & Management , Universiteit Twente, DesignLab , Radboud universitair medisch centrum , NWO-institutenorganisatie, CWI - Centrum Wiskunde & Informatica , Leids Universitair Medisch Centrum, Divisie 2, Radiologie, Laboratorium voor Klinische en Experimentele Beeldverwerking (LKEB) , Nederlands Kanker Instituut , Leids Universitair Medisch Centrum, Divisie 4, Radiotherapie , NIVEL - Nederlands instituut voor onderzoek van de gezondheidszorg , Department of Research, Netherlands Comprehensive Cancer Centre Organisation (IKNL) , Universitair Medisch Centrum Utrecht
In the Netherlands, 2,300 women annually face a diagnosis of Ductal Carcinoma In Situ (DCIS) and can progress to breast cancer. However, the majority never will. As harmless and hazardous DCIS cannot be distinguished yet, all women get intensive treatment. So, many women carry the burden of overtreatment without any benefit. To reduce this overtreatment, highly innovative, integrative artificial intelligence will be developed, inspired by how weather forecasting is improving over time. This dynamic DCIS-risk forecasting will prevent needless treatment for women with harmless DCIS, preserve their quality of life, and save €15 million/year health care costs.
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