Radiographic Diagnosis of Anomalous Root Canal Morphology in Patients with Pulpal Diseases at a Tertiary Hospital in Nigeria: A Case Series.

Negotiation of the intricate pulp canal space may pose a challenge in endodontic treatment. Consequently, appropriate diagnosis and thorough knowledge of the pattern and distribution of root canal systems are imperative for a more predictable outcome in the treatment of pulp diseases. Accordingly, cone beam computed tomography (CBCT) is deemed appropriate as an adjunctive diagnostic tool in endodontics.

Enhanced brain tumor detection and segmentation using densely connected convolutional networks with stacking ensemble learning.

- Brain tumors (BT), both benign and malignant, pose a substantial impact on human health and need precise and early detection for successful treatment. Analysing magnetic resonance imaging (MRI) image is a common method for BT diagnosis and segmentation, yet misdiagnoses yield effective medical responses, impacting patient survival rates. Recent technological advancements have popularized deep learning-based medical image analysis, leveraging transfer learning to reuse pre-trained models for various applications.

SARS-CoV-2 IgG antibodies in COVID-19 convalescent plasma and conventional plasma units.

Background: The Association for the Advancement of Blood and Biotherapies guidelines recommend the use of high-titer COVID-19 convalescent plasma (CCP) for patients with SARS-CoV-2 at high risk of disease progression, including those who are immunocompromised. We hypothesized that conventional plasma units have comparable neutralizing antibody levels to CCP.

Study Design And Methods: Conventional plasma and CCP units were obtained from blood suppliers.