Intrapleural fibrinolytic therapy for pleural infections: Outcomes from a cohort study.

Introduction: Pleural infections are a significant cause of mortality. Intrapleural fibrinolytic therapy (IPFT) utilising alteplase and dornase is a treatment option for patients unsuitable for surgery. The optimal dose of alteplase is unknown, and factors affecting treatment success in an Asian population are unclear.

Regulating the regulators: long non-coding RNAs as autophagic controllers in chronic disease management.

The increasing prevalence of chronic diseases and their associated morbidities demands a deeper understanding of underlying mechanism and causative factors, with the hope of developing novel therapeutic strategies. Autophagy, a conserved biological process, involves the degradation of damaged organelles or protein aggregates to maintain cellular homeostasis. Disruption of this crucial process leads to increased genomic instability, accumulation of reactive oxygen species (ROS), decreased mitochondrial functions, and suppression of ubiquitination, leading to overall decline in quality of intracellular components.

Atezolizumab, bevacizumab, pemetrexed and platinum for EGFR-mutant NSCLC patients after EGFR TKI failure: A phase II study with immune cell profile analysis.

Background: Acquired resistance to epidermal growth factor receptor tyrosine kinase inhibitors (EGFR TKIs) remains a significant hurdle for patients with EGFR-mutated non-small cell lung cancer (NSCLC), particularly those lacking the EGFR. IMpower 150 study demonstrated promising efficacy for a combination of immune-chemotherapy and bevacizumab in patients with EGFR-mutated NSCLC.

Methods: This open-label, single-arm, phase II trial evaluated the efficacy and immune cell profile of the modified regimen combining atezolizumab, bevacizumab (7.

Development and Validation of a Smartphone Application for Neonatal Jaundice Screening.

Importance: This diagnostic study describes the merger of domain knowledge (Kramer principle of dermal advancement of icterus) with current machine learning (ML) techniques to create a novel tool for screening of neonatal jaundice (NNJ), which affects 60% of term and 80% of preterm infants.

Objective: This study aimed to develop and validate a smartphone-based ML app to predict bilirubin (SpB) levels in multiethnic neonates using skin color analysis.

Design, Setting, And Participants: This diagnostic study was conducted between June 2022 and June 2024 at a tertiary hospital and 4 primary-care clinics in Singapore with a consecutive sample of neonates born at 35 or more weeks' gestation and within 21 days of birth.