71 results
To develop a prediction model for BPD using a range of multimodal predictors assessed in the first two weeks of life.
The aim of this study is to evaluate the relation between the effectiveness of endometriosis treatment and pelvic floor muscle function measured by direct functional measurements (functional ultrasound (strain) and EMG). Secondary objectives…
The main aim of this study is to investigate how brain water oscillations measured with NIRS correlate to blood pressure.
We aim to develop a library of different measurement protocols and data processing workflows that make it possible to measure biomechanics in the knee joint in individuals across the full spectrum of OA-related features from no OA through to severe…
The main objective of this study is to validate the specificity of 100% for peripheral thrombocytopenia of an IPF cut-off value of 13% in our patient population and workflow. In addition, if the specificity of 100% cannot be validated at a cut-off…
Primary Objectives• To evaluate prognostic factors of disease progression in subjects with Stargardt disease secondary to mutation in the ABCA4 gene • To further characterize the STGD1 patient population for future interventional clinical studies
The first aim of this study is to use an in vitro approach using patient's derived material to accurately and rapidly predict the optimal therapeutic approach that will predict a good clinical response in individual patients…
Objective: To identify and characterize WD patients in the Netherlands. Secondary objectives of this study are; describe disease management and treatment patterns, examine treatment adherence and efficacy of current treatment options, gain insight…
The main aim of the current study is to adequately assess HRQoL in patients with stage III TNBC receiving current standard (neo)adjuvant systemic therapy. These outcomes can then be used as a HRQoL benchmark for patients with stage III TNBC treated…
The main objective of this study is to develop a diagnostic model with high sensitivity and specificity to help pediatricians to recognize malignancy and minimalize unnecessary referral in children with lymphadenopathy. Moreover, we will perform a…
Primary objectives: To develop and internally validate a novel and interpretable machine learning model for detecting flare in PsA patients using integrated accelerometer data, keystroke dynamics and screen time metrics (i.e., digital…