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Nanoparticle innovations in targeted cancer therapy: advancements in antibody-drug conjugates.
Naunyn Schmiedebergs Arch Pharmacol
January 2025
Department of Biochemistry, Faculty of Pharmacy, Badr University in Cairo (BUC), Badr City, 11829, Cairo, Egypt.
Antibody-drug conjugates (ADCs) have emerged as a promising strategy in targeted cancer therapy, enabling the precise delivery of cytotoxic agents to tumor sites while minimizing systemic toxicity. However, traditional ADCs face significant limitations, including restricted drug loading capacity, where an optimal drug-to-antibody ratio (DAR) is crucial; low DARs may lead to insufficient potency, while high DARs can cause rapid clearance and increased toxicity. Additionally, ADCs often suffer from instability in circulation due to the potential for premature release of cytotoxic agents, resulting in off-target effects and reduced therapeutic efficacy.
View Article and Find Full Text PDFAwareness of Contraindications Among Cancer Patients in Riyadh, Saudi Arabia: A Cross-Sectional Study.
Cancer Control
January 2025
Department of Pharmacy Practice, College of Pharmacy, AlMaarefa University, Dariyah, Riyadh, Saudi Arabia.
Introduction: Cancer patients often face challenges in managing their disease, particularly with regard to contraindications related to medications, foods, and physical activity, which can negatively affect treatment outcomes. This study aimed to evaluate cancer patients' awareness of these contraindications and to explore the influence of sociodemographic factors, support systems, comorbidities, and medication use on their knowledge.
Methods: A cross-sectional prospective study was conducted with 125 cancer patients in Saudi Arabia between December 2022 and February 2023.
Enhancing prehospital decision-making: exploring user needs and design considerations for clinical decision support systems.
BMC Med Inform Decis Mak
January 2025
School of Medicine, University of Colorado, Aurora, CO, USA.
Background: In prehospital emergency care, providers face significant challenges in making informed decisions due to factors such as limited cognitive support, high-stress environments, and lack of experience with certain patient conditions. Effective Clinical Decision Support Systems (CDSS) have great potential to alleviate these challenges. However, such systems have not yet been widely adopted in real-world practice and have been found to cause workflow disruptions and usability issues.
View Article and Find Full Text PDFLiquid Metal Nanobiohybrids for High-Performance Solar-Driven Methanogenesis via Multi-Interface Engineering.
Angew Chem Int Ed Engl
January 2025
Fujian Agriculture and Forestry University, College of Resources and Environment, CHINA.
Nanobiohybrids for solar-driven methanogenesis present a promising solution to the global energy crisis. However, conventional semiconductor-based nanobiohybrids face challenges such as limited tunability and poor biocompatibility, leading to undesirable spontaneous electron and proton transfer that compromise their structural stability and CH4 selectivity. Herein, we introduced eutectic gallium-indium alloys (EGaIn), featuring a self-limiting surface oxide layer surrounding the liquid metal core after sonication, integrated with Methanosarcina barkeri (M.
View Article and Find Full Text PDFDual intent view contrastive learning for knowledge aware recommender systems.
Sci Rep
January 2025
School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou, Guangdong, China.
Knowledge-aware recommendation systems often face challenges owing to sparse supervision signals and redundant entity relations, which can diminish the advantages of utilizing knowledge graphs for enhancing recommendation performance. To tackle these challenges, we propose a novel recommendation model named Dual-Intent-View Contrastive Learning network (DIVCL), inspired by recent advancements in contrastive and intent learning. DIVCL employs a dual-view representation learning approach using Graph Neural Networks (GNNs), consisting of two distinct views: a local view based on the user-item interaction graph and a global view based on the user-item-entity knowledge graph.
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