Past Projects
Past Projects
Smell and taste changes in pediatric oncology patients
The aims of these studies are to insight into chemotherapy-induced smell and taste changes among pediatric oncology patients and its possible consequences regarding food intake, eating behaviour, nutritional status, and quality of life. The results of these clinical studies may lead to new (dietary) advice or strategies to solve this problem.
Critically ill pediatric oncology patient
The aim of the study is to identify clinically deteriorating pediatric oncology patients by studying the risk factors at the start of Pediatric Intensive Care Unit (PICU) admission and validating a modified bedside Pediatric Early Warning System (PEWS) score.
Fluorescence Guided Surgery for Pediatric Oncology
This project focuses on performing pre-clinical and clinical studies in the field of Fluorescence Guided Surgery with the ultimate goal to improve care by implementing this promising technique in the Prinses Máxima Center.
Long term survival after childhood osteosarcoma: cure models
The project aims at developing new statistical methods for dealing with cancer survival data in the presence of cure (long term survivors) and promoting the use of cure rate models in the medical context.
Time-varying covariates for survival models
Within this project, research will be carried out in order to develop methodologies to deal with time-varying functional covariates for survival analysis of cancer data. These methodologies will be applied to provide personalized prediction of long-term survival for osteosarcoma patients.
Predicting cancer survival with machine learning
The aim of this project is to evaluate if machine learning methods are suitable for predicting survival probabilities on a patient level. With the growing availability of mixed data (for instance clinical and genomic), machine learning methods - which have great potential for modelling complex data - become of increasing interest for their potential use in medical prediction.
Personalised Sarcoma Care (PERSARC)
Aim of this project is to develop a dynamic prognostic model for predicting the risk for local recurrence and/or distant metastases in patients affected by soft tissue sarcoma, under different treatment protocols, given patient and tumour related risk factors.
Validating the Adjusted Clinical Groups (ACG) Risk Stratification Tool for Dutch Primary Care
In order to manage increasing healthcare utilization and costs, Population Health Management approaches are becoming popular. Risk stratification, the process of assigning risk scores to individuals, with the aim to assign healthcare resources accordingly, is an important part of Population Health Management. The aim of this project is to validate expected healthcare utilization and predicted risk scores of the ACG software in Dutch Primary Care.
Meta-analysis of individual patient data to investigate dose-intensity relation with survival outcome for osteosarcoma patients
This research aims to calculate the individual received dose-intensity and relate it the survival chances of osteosarcoma patients.
Individual Clinical Advanced decision-making and Risk Evaluation for Ewing sarcoma (iCare 4 Ewing)
This projects will develop a number of prediction models targetting different stages of the Ewing sarcoma therapy (patient presentation, choice of local treatment, follow-up).
Impact of Surgery for Neuroblastoma
This project focuses on the role of surgery in the treatment of neuroblastoma. The research questions target, for example, the nature and prevalence of peri-operative complications of surgery for neuroblastoma, and the effect of surgery vs wait-and-see in low-risk patients.
The OPTIMAL study: Optimizing the treatment of patients with bone metastases
Aim of this project is to develop OPTIModel, a survival estimation tool for predicting remaining survival for patients with long bone metastases - software available on www.optimal-study.nl and mobile versions for iOS and Android.
Dose-intensity relation with survival outcomes in Acute Lymphoblastic Leukaemia
The final objective of this project is to determine optimal dose levels for personalized care, and practical guidelines for tretment of acute lymphoblastic leukaemia.
