Publications by authors named "L Wilbert Bartels"
The need for speed? Exploring the risks and benefits of pharmacological treatment for adult ADHD in prisons.
Psychiatr Psychol Law
January 2024
Attention deficit/hyperactivity disorder (ADHD) is overrepresented in prison populations globally. Although pharmacological treatment has generally been demonstrated to be an effective tool for managing ADHD symptoms in the general population, it remains controversial in the prison context. This is primarily due to concerns about the diversion and abuse of medication.
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- Haemophilus influenzae is a bacterial pathogen that can cause serious infections, and the rise of certain resistant strains is complicating treatment options for patients.
- A study was conducted to analyze the relationship between genetic mutations in a specific protein (PBP3) and the bacteria's resistance to ampicillin and cefotaxime using a large dataset of clinical isolates.
- Results showed that particular groups of PBP3 mutations were linked to increased resistance, while some strains previously thought to be susceptible actually displayed low specificity for ampicillin resistance, suggesting the need for updated diagnostic criteria.
Article Synopsis
- - The study aimed to create a machine-learning algorithm to automatically identify cerebral arteries and unruptured intracranial aneurysms using a dataset of manually segmented MRI-TOF scans.
- - The nnUNet algorithm was trained on 62 MRITOF scans, showing strong performance metrics with a median Dice Similarity Coefficient of 0.86 and an 80% sensitivity for detecting aneurysms.
- - The results indicate that the algorithm can effectively and quickly extract relevant anatomical features, with future plans to enhance its training dataset and apply it to 3D imaging tools for better treatment predictions.
Objective: The way in which parental posttraumatic stress symptoms (PTSS) unfold in the first year after a cancer diagnosis in their child is poorly understood. The aims of this study were to identify parental PTSS trajectories and to examine couple-related predictors (dyadic coping and we-disease appraisals), sociodemographic predictors (education and sex), and medical predictors (child's physical impairment) of trajectory membership.
Method: A 1-year prospective study was conducted, and 157 parents of children newly diagnosed with cancer were assessed.
Introduction: The non-perfused volume divided by total fibroid load (NPV/TFL) is a predictive outcome parameter for MRI-guided high-intensity focused ultrasound (MR-HIFU) treatments of uterine fibroids, which is related to long-term symptom relief. In current clinical practice, the MR-HIFU outcome parameters are typically determined by visual inspection, so an automated computer-aided method could facilitate objective outcome quantification. The objective of this study was to develop and evaluate a deep learning-based segmentation algorithm for volume measurements of the uterus, uterine fibroids, and NPVs in MRI in order to automatically quantify the NPV/TFL.
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