Results 201 to 210 of about 23,376,845 (289)
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 +3 more
wiley +1 more source
A citation analysis of (f)MRI papers that cited Lieberman and Cunningham (2009) to justify their statistical threshold. [PDF]
Yeung AWK.
europepmc +1 more source
Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley +1 more source
Exploring Trends and Gaps in Osteoarthritis Biomarker Research (1999-2024): A Citation Analysis of Top 50 Cited Articles. [PDF]
Hu W +5 more
europepmc +1 more source
Viewing Computer Science through Citation Analysis: Salton and Bergmark Redux. [PDF]
Devarakonda S +3 more
europepmc +1 more source
Drug‐Free Thrombolysis Mediated by Physically Activated Micro/Nanoparticles
Overview of particle‐mediated thrombolytic effects (thermal, mechanical, and chemical) and their activating physical stimuli (light, ultrasound, and magnetic field) in drug‐free thrombolysis. ABSTRACT Thrombus‐associated disorders rank among the world's leading causes of death, with ischemic heart disease and stroke as the main contributors.
Pierre Sarfati +2 more
wiley +1 more source
Scientific text citation analysis using CNN features and ensemble learning model. [PDF]
Alnowaiser K, Alnowaiser K.
europepmc +1 more source

