Publications by authors named "J E Benecke"
Background: Hand and foot eczema is a frequent chronic dermatological condition. The persistent itching, pain, and blistering can impair hand and foot function, leading to difficulties in performing tasks requiring fine motor skills. In addition, the impact on the quality of life for affected patients is significant, as the symptoms can be extremely uncomfortable and disruptive to daily activities.
View Article and Find Full Text PDFBackground: The COVID-19 pandemic severely impacted healthcare systems, affecting patient outcomes and resource allocation. This study applied automated machine learning (AutoML) to analyze key health outputs, such as discharge conditions, mortality, and COVID-19 cases, with the goal of improving responses to future crises.
Methods: AutoML was used to train and validate models on an ICD-10 dataset covering the first wave of COVID-19 in Romania (January-September 2020).
Focal unspecific bone uptake (UBU) is common in [F]PSMA-1007 PET/CT, yet its clinical significance remains unclear, causing uncertainty in treatment decisions. We retrospectively analyzed 99 prostate cancer patients (age 69 ± 7) who underwent [F]PSMA-1007 PET/CT scans (3 MBq/kg; uptake time 70 ± 14 min) for staging and follow-up (after 13.0 ± 7.
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- Psoriasis vulgaris (PsV) and psoriatic arthritis (PsA) are complex diseases that affect health and quality of life, and predicting treatment responses and disease progression remains a challenge despite its importance.
- This study utilized automated machine learning (AutoML) to develop accurate predictive models to inform clinical decisions for patients with PsV and PsA, focusing on therapy changes and disease progression factors.
- Results showed that the extreme gradient boosted trees classifier effectively predicted therapy changes at the 24-week mark, identifying key factors such as initial treatment type, baseline scores, and quality of life improvements, suggesting some treatments have a lower likelihood of needing adjustments.
Somatostatin analogues (SSAs) are commonly used in the treatment of hormone hypersecretion in neuroendocrine tumors (NETs), however the extent to which they inhibit proliferation is much discussed. We studied the antiproliferative effects of novel SSA lanreotide in bronchopulmonary NETs (BP-NETs). We focused on assessing whether pretreating cells with inhibitors for phosphatidylinositol 3-kinase (PI3K) and mammalian target for rapamycin (mTOR) could enhance the antiproliferative effects of lanreotide.
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