Role of Artificial Intelligence in Identifying Vital Biomarkers with Greater Precision in Emergency Departments During Emerging Pandemics.

The COVID-19 pandemic has accelerated advances in molecular biology and virology, enabling the identification of key biomarkers to differentiate between severe and mild cases. Furthermore, the use of artificial intelligence (AI) and machine learning (ML) to analyze large datasets has been crucial for rapidly identifying relevant biomarkers for disease prognosis, including COVID-19. This approach enhances diagnostics in emergency settings, allowing for more accurate and efficient patient management.

Heterogeneity of the Treatment Effect with PARP Inhibitors in Metastatic Castration-resistant Prostate Cancer: A Living Interactive Systematic Review and Meta-analysis.

Background And Objective: Selection of patients harboring mutations in homologous recombination repair (HRR) genes for treatment with a PARP inhibitor (PARPi) is challenging in metastatic castration-resistant prostate cancer (mCRPC). To gain further insight, we quantitatively assessed the differential efficacy of PARPi therapy among patients with mCRPC and different HRR gene mutations.

Methods: This living meta-analysis (LMA) was conducted using the Living Interactive Evidence synthesis framework.

Cardio-Obstetrics Practice in Latin America: A Regional Survey of General Cardiologists.

Background: Cardiovascular (CV) disease is a leading cause of death in pregnant women globally, especially in low- and middle-income countries including Latin America (LATAM), where there is lack of data on how cardiologists are trained in cardio-obstetrics (CO) and the practice patterns in the care of pregnant patients.

Objectives: The authors aimed to identify CO competency and practice patterns among LATAM general cardiologists.

Methods: An anonymous cross-sectional Google-based electronic survey was sent via email to clinical cardiologists through local American College of Cardiology chapters and CV societies.

Impact of gold nanoparticle size and coating on radiosensitization and generation of reactive oxygen species in cancer therapy.

Radiation therapy is a common cancer treatment but often damages surrounding healthy tissues, leading to unwanted side effects. Despite technological advancements aimed at improving targeting, minimizing exposure to normal cells remains a major challenge. High-Z nanoparticles, such as gold nanoparticles (AuNPs), are being explored as nano-radiosensitizers to enhance cancer treatment through physical, biological, and chemical mechanisms.

Hybridization and Introgression in Black Hakes (Merluccius polli and M. senegalensis): Evolutionary Dynamics and Conservation Implications in the Contact Zone Exploited by Multi-Species Fisheries.

Hybridization is relatively common between closely related species that share part of their distribution. Understanding its dynamics is important both for conservation purposes and to determine its role as an evolutionary mechanism. Here we have studied the case of black hakes (Merluccius polli and Merluccius senegalensis) in its contact zone.