Discriminatory power of trabeculectomy bleb internal reflectivity and morphology in surgical success using anterior segment optical coherence tomography.

Background: The post-operative evaluation of trabeculectomy blebs has traditionally relied on subjective clinical grading systems performed at the slit-lamp. This study explores the use of swept source anterior-segment optical coherence tomography (AS-OCT) to objectively measure bleb internal reflectivity and morphology, and to distinguish blebs with surgical success vs. failure.

Seroprevalence and risk factors of Bluetongue virus in camels in Northern Oman: a cross-sectional study.

Bluetongue virus (BTV) has emerged as a significant concern in Oman, affecting various animal species, including camels. This cross-sectional study aimed to assess the seroprevalence of BTV in camels and explore the associated risk factors within the northern region of Oman. Between October 2016 and March 2017, 439 serum samples and 100 blood samples were collected from camels in five governorates.

Mutations in hnRNP A1 drive neurodegeneration and alternative RNA splicing of neuronal gene targets.

RNA binding protein dysfunction is a pathogenic feature of multiple neurological diseases, including multiple sclerosis (MS). Neurodegeneration (the loss of, or damage to neurons and axons) is the primary driver of disease progression in MS. Herein, we utilized a novel, neuron-specific model of neurodegeneration by transducing primary mouse neurons with mutant forms of the RNA binding protein heterogeneous nuclear ribonucleoprotein A1 (hnRNP A1) identified from MS patients, including one within the M9-nuclear localization sequence of hnRNP A1 (A1(P275S)) and a second in the prion-like domain of hnRNP A1 (A1(F263S)) to test the hypothesis that neuronal hnRNP A1 dysfunction drives neurodegeneration in MS.

Performance of Radiomics-based machine learning and deep learning-based methods in the prediction of tumor grade in meningioma: a systematic review and meta-analysis.

Currently, the World Health Organization (WHO) grade of meningiomas is determined based on the biopsy results. Therefore, accurate non-invasive preoperative grading could significantly improve treatment planning and patient outcomes. Considering recent advances in machine learning (ML) and deep learning (DL), this meta-analysis aimed to evaluate the performance of these models in predicting the WHO meningioma grade using imaging data.

An amplification mechanism for weak ELF magnetic fields quantum-bio effects in cancer cells.

Observing quantum mechanical characteristics in biological processes is a surprising and important discovery. One example, which is gaining more experimental evidence and practical applications, is the effect of weak magnetic fields with extremely low frequencies on cells, especially cancerous ones. In this study, we use a mathematical model of ROS dynamics in cancer cells to show how ROS oscillatory patterns can act as a resonator to amplify the small effects of the magnetic fields on the radical pair dynamics in mitochondrial Complex III.