Revision Total Hip Arthroplasty Using a Custom Monoflange Acetabular Component for Severe Bone Loss and Pelvic Discontinuity Due to Acetabular Component Loosening: A Case Report.

Revision total hip arthroplasty using custom monoflange acetabular components (CMACs) in cases of severe bone loss is becoming an increasingly preferred alternative to traditional implants, which may not provide stable fixation in such cases. However, this procedure also carries a higher risk of infection and implant loosening. This case report discusses a 67-year-old female patient who presented with old acetabular component loosening and significant pelvic bone loss.

Localization of spleen and kidney organs from CT scans based on classification of slices in rotational views.

This article presents a novel multiple organ localization and tracking technique applied to spleen and kidney regions in computed tomography images. The proposed solution is based on a unique approach to classify regions in different spatial projections (e.g.

siRNA-Mediated MELK Knockdown Induces Accelerated Wound Healing with Increased Collagen Deposition.

Skin wounds remain a significant problem for the healthcare system, affecting the clinical outcome, patients' quality of life, and financial costs. Reduced wound healing times would improve clinical, economic, and social aspects for both patients and the healthcare system. Skin wound healing has been studied for years, but effective therapy that leads to accelerated wound healing remains to be discovered.

A U-Net based framework to quantify glomerulosclerosis in digitized PAS and H&E stained human tissues.

Reliable counting of glomeruli and evaluation of glomerulosclerosis in renal specimens are essential steps to assess morphological changes in kidney and identify individuals requiring treatment. Because microscopic identification of sclerosed glomeruli performed under the microscope is labor intensive, we developed a deep learning (DL) approach to identify and classify glomeruli as normal or sclerosed in digital whole slide images (WSIs). The segmentation and classification of glomeruli was performed by the U-Net model.