First-trimester Doppler Ultrasound for Predicting Successful Management of Pregnancy with Recurrent Pregnancy Losses Due to Antiphospholipid Syndrome and Thrombophilia: A Cohort Study.

Background: Recurrent pregnancy loss (RPL) often stems from a hypercoagulable state that exacerbates conditions such as antiphospholipid syndrome (APS) and thrombophilia, leading to early placental issues. Although treatments such as low-molecular-weight heparin (LMWH) and low-dose aspirin (LDA) are used, outcomes vary. This study proposes using first-trimester Doppler ultrasound - specifically, uterine radial artery resistance index (URa-RI) at 8 weeks and uterine artery pulsatility index (Ut-PI) with pre-diastolic notching (Ut-notch) at 11-13 weeks - to better predict successful pregnancies and reduce risks of adverse outcomes.

A Saudi Heart Association Position Statement on Cardiovascular Diseases and Diabetes Mellitus.

Background: Cardiovascular disease (CVD) and diabetes mellitus are prominent public health concerns in Saudi Arabia owing to their increasingly high prevalence and burden. Based on this, the Saudi Heart Association (SHA) set out to develop an official position statement on CVD and diabetes mellitus, with a focus on the prevention and management of these conditions and relevant special populations in the context of Saudi Arabia.

Methods: A multidisciplinary panel of experts met under the auspices of the SHA in a series of meetings to review and discuss available evidence on the prevention and management of comorbid CVD and diabetes mellitus.

Simulation studies to identify high-affinity probiotic peptides for inhibiting PAK1 gastric cancer protein: A comparative approach.

A major threat to world health is the high death rate from gastrointestinal (GI) cancer, especially in Asia, South America, and Europe. The new approaches are needed because of the complexity and heterogeneity of gastrointestinal (GI) cancer, which has made the development of effective treatments difficult. To investigate the potential of peptide-based therapies that target the P21 Activated Kinase 1 (PAK1) in GI cancer, we are using the DBsORF database to predict peptides from the genomes of two bacterial strains: Lactobacillus plantarum and Pediococcus pentosaceus.

Enhanced neurological anomaly detection in MRI images using deep convolutional neural networks.

Introduction: Neurodegenerative diseases, including Parkinson's, Alzheimer's, and epilepsy, pose significant diagnostic and treatment challenges due to their complexity and the gradual degeneration of central nervous system structures. This study introduces a deep learning framework designed to automate neuro-diagnostics, addressing the limitations of current manual interpretation methods, which are often time-consuming and prone to variability.

Methods: We propose a specialized deep convolutional neural network (DCNN) framework aimed at detecting and classifying neurological anomalies in MRI data.

Breaking boundaries: role of the brain barriers in metastatic process.

Brain metastases (BMs) are the most common intracranial tumors in adults and occur 3-10 times more frequently than primary brain tumors. Despite intensive multimodal therapies, including resection, radiotherapy, and chemotherapy, BMs are associated with poor prognosis and remain challenging to treat. BMs predominantly originate from primary lung (20-56%), breast (5-20%), and melanoma (7-16%) tumors, although they can arise from other cancer types less frequently.