Porous titanium/hydroxyapatite interpenetrating phase composites with optimal mechanical and biological properties for personalized bone repair.

This study introduces the first fabrication of porous titanium/hydroxyapatite interpenetrating phase composites through an innovative processing method. The approach combines additive manufacturing of a customized titanium skeleton with the infiltration of an injectable hydroxyapatite foam, followed by in situ foam hardening at physiological temperature. This biomimetic process circumvents ceramic sintering and metal casting, effectively avoiding the formation of secondary phases that can impair mechanical performance.

High-resolution micro-CT for 3D infarct characterization and segmentation in mice stroke models.

Characterization of brain infarct lesions in rodent models of stroke is crucial to assess stroke pathophysiology and therapy outcome. Until recently, the analysis of brain lesions was performed using two techniques: (1) histological methods, such as TTC (Triphenyltetrazolium chloride), a time-consuming and inaccurate process; or (2) MRI imaging, a faster, 3D imaging method, that comes at a high cost. In the last decade, high-resolution micro-CT for 3D sample analysis turned into a simple, fast, and cheaper solution.

Resolving complex cartilage structures in developmental biology via deep learning-based automatic segmentation of X-ray computed microtomography images.

The complex shape of embryonic cartilage represents a true challenge for phenotyping and basic understanding of skeletal development. X-ray computed microtomography (μCT) enables inspecting relevant tissues in all three dimensions; however, most 3D models are still created by manual segmentation, which is a time-consuming and tedious task. In this work, we utilised a convolutional neural network (CNN) to automatically segment the most complex cartilaginous system represented by the developing nasal capsule.

Outcomes of Percutaneous Coronary Intervention in Patients With Acquired Immunosuppression.

There are limited data on the clinical outcomes of percutaneous coronary intervention (PCI) in patients with acquired immunosuppression who are frequently underrepresented in clinical trials. All PCI procedures between October 2015 and December 2018 in the Nationwide Inpatient Sample were retrospectively analyzed, stratified by immunosuppression status. Multivariable logistic regression models were performed to examine (1) the association between immunosuppression status and in-hospital outcomes, expressed as adjusted odds ratio (aOR) with 95% confidence intervals (CIs) and (2) predictors of mortality among patients with severe acquired immunosuppression.