Explainable artificial intelligence with UNet based segmentation and Bayesian machine learning for classification of brain tumors using MRI images.

Detecting brain tumours (BT) early improves treatment possibilities and increases patient survival rates. Magnetic resonance imaging (MRI) scanning offers more comprehensive information, such as better contrast and clarity, than any alternative scanning process. Manually separating BTs from several MRI images gathered in medical practice for cancer analysis is challenging and time-consuming.

Impact of Multidrug-Resistant Bacterial Colonization on Clinical Characteristics, Antibiotic Treatment, and Clinical Outcomes of Hospital-Acquired Pneumonia.

Purpose: To determine effects of colonization with multidrug-resistant bacteria (MDRB) in general wards on characteristics, treatment, and prognosis of hospital-acquired pneumonia (HAP).

Methods: This was a multicenter retrospective cohort study of patients with HAP admitted to 16 tertiary or university hospitals in Korea from July 2019 to December 2019. From the entire cohort, patients who developed pneumonia in general wards with known colonization status before the onset of pneumonia were included in this study.

Association between constipation and incident chronic kidney disease in the UK Biobank study.

Despite previous studies supporting a close relationship between constipation and chronic kidney disease (CKD), the potential impact of constipation on incident CKD and the role of laxatives remains uncertain. We analyzed longitudinal data from the UK Biobank, which links baseline assessment data with follow-up data from hospital episode statistics and general practice records. Constipation was defined with diagnostic codes or regular use of laxatives at baseline as reported in the questionnaire.

Augmented prediction of vertebral collapse after osteoporotic vertebral compression fractures through parameter-efficient fine-tuning of biomedical foundation models.

Vertebral collapse (VC) following osteoporotic vertebral compression fracture (OVCF) often requires aggressive treatment, necessitating an accurate prediction for early intervention. This study aimed to develop a predictive model leveraging deep neural networks to predict VC progression after OVCF using magnetic resonance imaging (MRI) and clinical data. Among 245 enrolled patients with acute OVCF, data from 200 patients were used for the development dataset, and data from 45 patients were used for the test dataset.

TIMP-2 Promotes Wound Healing by Suppressing Matrix Metalloproteinases and Inflammatory Cytokines in Corneal Epithelial Cells.

Tissue inhibitors of metalloproteinases (TIMPs) modulate extracellular matrix (ECM) remodeling for maintaining homeostasis and promoting cell migration and proliferation. Pathological conditions can alter TIMP homeostasis and aggravate disease progression. The roles of TIMPs have been studied in tissue-related disorders; however, their contributions to tissue repair during corneal injury are undefined.