Publications by authors named "Mohannad N AbuHaweeleh"

: Diabetes is linked to a higher risk of urinary tract infections (UTIs) in women, often leading to recurrent antibiotic treatments. Frequent antibiotic use for UTIs can contribute to antimicrobial resistance (AMR), a critical public health threat that increases treatment failure. This study investigated the prevalence of AMR and its associated factors among women with UTIs, comparing those with and without diabetes.

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Article Synopsis
  • Small cell lung cancer (SCLC) is a highly aggressive cancer with poor survival rates, and current diagnostic methods are invasive and limited.
  • This study introduces a new machine learning technique that uses metabolomics data to distinguish between SCLC, non-small cell lung cancer (NSCLC), and healthy individuals, achieving high accuracy in classification.
  • Key metabolites were identified as important predictors, and the stacking ensemble model effectively combines different classifiers, providing a promising non-invasive alternative for early lung cancer detection.
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Small cell lung cancer (SCLC), a neuroendocrine aggressive subtype of lung cancer, is associated with paraneoplastic disorders in about 9% of patients. In this report, we describe a middle-aged man who presented with chronic bowel obstruction caused by chronic intestinal pseudo-obstruction (CIPO) due to SCLC.

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Brachydactyly is a genetic condition leading to shortened or absent digits in hands or feet. It can occur independently or as part of syndromes. This case focuses on Brachydactyly type B, the rarest form.

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The accurate diagnosis of small-cell lung cancer (SCLC) is crucial, as treatment strategies differ from those of other lung cancers. This systematic review aims to identify proteins differentially expressed in SCLC compared to normal lung tissue, evaluating their potential utility in diagnosing and prognosing the disease. Additionally, the study identifies proteins differentially expressed between SCLC and large cell neuroendocrine carcinoma (LCNEC), aiming to discover biomarkers distinguishing between these two subtypes of neuroendocrine lung cancers.

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