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Background Glenohumeral osteoarthritis is common degenerative disease within the elderly population, which causes pain and reduced mobility. In advanced cases, total shoulder arthroplasty (TSA) is usually performed. Although TSA is an established procedure ...
The delivery of molecules and genes to the central nervous system (CNS) poses a major challenge for the treatment of neurodegenerative diseases. CNS disorders require long-term intervention and the presence of the blood-brain barrier (BBB) restricts the pe ...
Aims: Understanding the correlations between underlying medical and personal characteristics of a patient with cancer and the risk of lung metastasis may improve clinical management and outcomes. We used machine learning methodologies to predict the risk o ...
OBJECTIVE: Alzheimer disease (AD) is the most common form of neurodegenerative disease in elderly people. Toxic brain amyloid-beta (ASS) aggregates and ensuing cell death are believed to play a central role in the pathogenesis of the disease. In this study ...
Fully automated machine learning methods based on structural magnetic resonance imaging data can assist radiologists in the diagnosis of Alzheimer's disease (AD). These algorithms require large data sets to learn the separation of subjects with and without ...
Since the first compartmentalized neuronal culture described by Robert B. Campenot in 1977, compartmentalized microfluidic devices have been widely used to engineer the cellular environment for cell culture. In previous research by Dr. Anja Kunze, a microf ...
