Results 221 to 230 of about 502,990 (319)

Systemic Inflammatory Indices-Systemic Immune-Inflammation Index (SII) and the Systemic Inflammation Response Index (SIRI)-As Potential Rule-Out Biomarkers for Invasive Cervical Carcinoma. [PDF]

Int J Mol Sci
Keszthelyi M, Sziva RE, Havrán Z, Szabó V, Kalas N, Lőczi L, Sebők B, Merkely P, Ács N, Várbíró S, Lintner B, Tóth R.   +11 more
europepmc   +1 more source

Facilitating Expedited Drug Approval– the Past, Present, and Future of Clinical Trials for Pediatric Rheumatic Disease

Arthritis Care &Research, Accepted Article.
Pamela F. Weiss, Hermine I. Brunner
wiley   +1 more source

Pore Size Effects of Mesoporous N‐Doped Carbon Nanospheres as Advanced Support Material on the Activity of Molybdenum Sulfide Catalysts for the Hydrogen Evolution Reaction

Advanced Functional Materials, EarlyView.
By tuning the pore size of mesoporous N‐doped carbon (MPNC) nanospheres as support material for molybdenum sulfide, the electrochemical activity of the composite material for the hydrogen evolution reaction can be optimized. An ideal MPNC pore size of 60 nm allows a high number of molybdenum sulfide active sites while maintaining efficient proton and ...
Niklas Ortlieb, Christian Völker, Lars Guggolz, Anna Fischer   +3 more
wiley   +1 more source

Systemic inflammation response index (SIRI) predicts mortality and cardiovascular events in maintenance hemodialysis patients: A correlational study. [PDF]

Medicine (Baltimore)
Jinwei S, Weikang M, Ying H, Yueqiang W, Ying Z, Dongxi H, Qian H, Youqun G, Hui D, Xueli C.   +9 more
europepmc   +1 more source

Liquid Crystalline Inverted Lipid Phases and Reverse Micelles in Drug Delivery: From Molecular Design to Therapeutic Potential

Advanced Functional Materials, EarlyView.
Liquid crystalline inverted lipid phases and reverse micelles are self‐assembled lipid nanostructures that enhance the solubility, stability, and delivery of diverse therapeutics. This review integrates their physicochemical principles, formulation strategies, drug loading mechanisms, and biomedical applications, highlighting their growing ...
Numan Eczacioglu, Mulazim Hussain Asim, Soheil Haddadzadegan, Andreas Bernkop‐Schnürch   +3 more
wiley   +1 more source

Prognostic significance of systemic immune inflammation index and systemic inflammation response index for cervical cancer: A systematic review and meta-analysis. [PDF]

Pak J Med Sci
Jiang F, Zhou P.
europepmc   +1 more source

Engineering a Sonotherapeutic RBC Membrane‐Derived Nanoparticle Platform for the Treatment of Liver Cancer

Advanced Functional Materials, EarlyView.
Herein, an RBC membrane‐derived nanoparticle (CMN‐ICG) is engineered to efficiently deliver a sonosensitizing agent, indocyanine green (ICG), for sonotherapy of hepatocellular carcinoma (HCC). CMN‐ICG exhibits excellent cytocompatibility, significantly enhances hepatocyte uptake, and produces excessive reactive oxygen species (ROS) upon ultrasound ...
Alap Ali Zahid, Aishik Chakraborty, Wei Luo, Juhi Bora, John Joseph Kelly, John Andrew Ronald, Arghya Paul   +6 more
wiley   +1 more source

Preoperative systemic inflammation response index may predict postoperative delayed extubation for elderly patients with aSAH: a retrospective cohort study. [PDF]

BMC Neurol
Fan M, Xiong X, Li S, Cheng L, Feng Y, Wang Q, Yang G.   +6 more
europepmc   +1 more source

Heteroatom‐Engineering Promoted Co9S8 Bi‐functional Electrocatalyst for Hydrazine‐Assisted Hydrogen Production at Industrial Current Density

Advanced Functional Materials, EarlyView.
Fe and P co‐doped Co9S8 nanocorals (Fe, P‐Co9S8) are successfully synthesized by a heteroatom engineering strategy, which exhibit outstanding bifunctional electrocatalytic performance for both the hydrogen evolution reaction (HER) and hydrazine oxidation reaction (HzOR).
Yuying Meng, Chunyan Xiang, Wenbiao Zhang, Dahai Zeng, Bing Du, Bao Zhong, Yue Jiang, Damien Voiry, Qingsheng Gao   +8 more
wiley   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

Advanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy, Chuan‐En Lu, Kai Liu, Audrey Gallud   +3 more
wiley   +1 more source