Reversal of dabigatran and apixaban-induced coagulopathy using idarucizumab, fibrinogen, and prothrombin complex concentrate: A case report.

This case report examines the combined use of fibrinogen concentrate, four-factor prothrombin complex concentrate (PCC), and idarucizumab, a specific antidote for dabigatran, to reverse the anticoagulant effects of dabigatran and apixaban-induced coagulopathy. An 86-year-old patient, receiving apixaban therapy, presented to the Emergency Department after intentionally ingesting 50 tablets of dabigatran. The combination therapy contributed to the rapid normalization of coagulation parameters and stabilization of the patient's clinical status without subsequent thromboembolic complications.

Quantitative cytoarchitectural phenotyping of deparaffinized human brain tissues.

Advanced 3D imaging techniques and image segmentation and classification methods can profoundly transform biomedical research by offering deep insights into the cytoarchitecture of the human brain in relation to pathological conditions. Here, we propose a comprehensive pipeline for performing 3D imaging and automated quantitative cellular phenotyping on Formalin-Fixed Paraffin-Embedded (FFPE) human brain specimens, a valuable yet underutilized resource. We exploited the versatility of our method by applying it to different human specimens from both adult and pediatric, normal and abnormal brain regions.

Segmentation of supragranular and infragranular layers in ultra-high-resolution 7T ex vivo MRI of the human cerebral cortex.

Accurate labeling of specific layers in the human cerebral cortex is crucial for advancing our understanding of neurodevelopmental and neurodegenerative disorders. Building on recent advancements in ultra-high-resolution ex vivo MRI, we present a novel semi-supervised segmentation model capable of identifying supragranular and infragranular layers in ex vivo MRI with unprecedented precision. On a dataset consisting of 17 whole-hemisphere ex vivo scans at 120 $\mu $m, we propose a Multi-resolution U-Nets framework that integrates global and local structural information, achieving reliable segmentation maps of the entire hemisphere, with Dice scores over 0.

Deep learning-based localization algorithms on fluorescence human brain 3D reconstruction: a comparative study using stereology as a reference.

3D reconstruction of human brain volumes at high resolution is now possible thanks to advancements in tissue clearing methods and fluorescence microscopy techniques. Analyzing the massive data produced with these approaches requires automatic methods able to perform fast and accurate cell counting and localization. Recent advances in deep learning have enabled the development of various tools for cell segmentation.

Not only Van Gogh: a case of BRASH syndrome with concomitant digoxin toxicity.

Background: Bradycardia, renal failure, atrioventricular (AV) node blocking, shock, and hyperkalemia syndrome is a potentially life-threatening clinical condition characterized by bradycardia, renal failure, atrioventricular (AV) node blocking, shock, and hyperkalemia. It constitutes a vicious circle in which the accumulation of pharmacologically active compounds and hyperkalemia lead to hemodynamic instability and heart failure.

Case Presentation: A 66-year-old Caucasian female patient was admitted to the emergency department presenting with fatigue and bradycardia.