The functional analysis of the left atrium (LA) is important for evaluating cardiac health and understanding diseases like atrial fibrillation. Cine MRI is ideally placed for the detailed 3D characterization of LA motion and deformation but is lacking appropriate acquisition and analysis tools. Here, we propose tools for the Analysis of Left Atrial Displacements and DeformatIons using online learning neural Networks (Aladdin) and present a technical feasibility study on how Aladdin can characterize 3D LA function globally and regionally.
View Article and Find Full Text PDFArterial spin labelling (ASL) magnetic resonance imaging (MRI) enables cerebral perfusion measurement, which is crucial in detecting and managing neurological issues in infants born prematurely or after perinatal complications. However, cerebral blood flow (CBF) estimation in infants using ASL remains challenging due to the complex interplay of network physiology, involving dynamic interactions between cardiac output and cerebral perfusion, as well as issues with parameter uncertainty and data noise. We propose a new spatial uncertainty-based physics-informed neural network (PINN), SUPINN, to estimate CBF and other parameters from infant ASL data.
View Article and Find Full Text PDFBackground: Ossifying fibroma (OF) is a non-common benign fibrous-osseous lesion with highly aggressive behavior and tends to recur. Here, we report a case where Ossifying Fibroma (OF) was diagnosed in an adolescent female patient and was treated by marginal mandibular resection to avoid esthetic and functional defects in the future.
Case Presentation: OF was diagnosed in a 13-year-old woman incidentally.
The occurrence of spirocyclic motifs in clinical candidates and approved drugs is on the rise. This is related to the improvement of drug-like properties that can be achieved by introducing this sp-rich system into bioactive compounds. Given the increasing number of synthetic methodologies and building blocks available, spirocycles are becoming widely accessible to medicinal chemists.
View Article and Find Full Text PDFIntroduction: Perinatal management of gastroschisis remains a subject of substantial research. Current models, including teratogenic, genetic, and surgical approaches, often fail to accurately replicate gastroschisis, exhibiting limitations such as inaccurate phenotyping, low success rates, high mortality, lack of scientific validation, and significant technical challenges. Refined disease models are essential for improving the understanding of GS.
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