A new simple chronic heart failure prognostic index based on five general parameters.

Background: Prognostic prediction in heart failure (HF) is challenging and no single marker has proven effective. We propose an index based on B-type natriuretic peptide (BNP) and four widely available parameters.

Methods: We retrospectively analyzed adult outpatients with chronic HF with systolic dysfunction followed from January 2012 to December 2020.

Amphotericin B Encapsulation in Polymeric Nanoparticles: Toxicity Insights via Cells and Zebrafish Embryo Testing.

Amphotericin B (AmB) is a commonly utilized antifungal agent, which is also recommended for the treatment of certain neglected tropical diseases, including leishmaniasis. However, its clinical application is constrained because of its poor oral bioavailability and adverse effects, prompting the investigation of alternative drug delivery systems. Polymeric nanoparticles (PNPs) have gained attention as a potential drug delivery vehicle, providing advantages such as sustained release and enhanced bioavailability, and could have potential as AmB carriers.

Exploring the Pharmacological Potential of Carrageenan Disaccharides as Antitumor Agents: An In Silico Approach.

Carrageenans have demonstrated enhanced antitumor activity upon depolymerization into disaccharides. However, the pharmacological viability of these disaccharides and their mechanisms of antitumor action remains to be fully elucidated. This study aimed to employ computational tools to investigate the pharmacological properties and molecular targets pertinent to cancer of the disaccharides derived from the primary carrageenans.

Association of Pedagogical Training with the Social Skills of Medical Tutors in Problem-Based Learning Curriculum.

Background: Satisfactory interaction between tutor and student is fundamental to the success of problem-based learning, and social skills (SS) are essential in this context. The factors associated with a better repertoire of teachers' SS are still unclear. Therefore, we aimed to assess tutors' SS and investigate which factors might be related to a better repertoire of SS.

Artificial Intelligence and Cancer Health Equity: Bridging the Divide or Widening the Gap.

Purpose Of Review: This review aims to evaluate the impact of artificial intelligence (AI) on cancer health equity, specifically investigating whether AI is addressing or widening disparities in cancer outcomes.

Recent Findings: Recent studies demonstrate significant advancements in AI, such as deep learning for cancer diagnosis and predictive analytics for personalized treatment, showing potential for improved precision in care. However, concerns persist about the performance of AI tools across diverse populations due to biased training data.