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 dataset for aqueous surfactant phase behavior as a function of temperature and composition. [PDF]
Rummel F +6 more
europepmc +1 more source
Organic electrochemical transistors based on a Near‐Infrared (NIR)‐responsive polymer p(C4DPP‐T) and iodide electrolyte exhibit optically programmable negative differential transconductance. NIR illumination triggers an iodine‐mediated redox process, enabling a transition from binary to ternary conductance states within a single‐layer device.
Debdatta Panigrahi +7 more
wiley +1 more source
A systematic evaluation of uncertainty quantification techniques in deep learning: a case study in photoplethysmography signal analysis. [PDF]
Bench C +9 more
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
Binary and Ternary Classification Prediction for Breast Cancer and Breast Sclerosing Adenosis With Interpretable Artificial Intelligence From Clinical and Imaging Features: A Retrospective, Diagnostic Accuracy Cohort Study. [PDF]
Qu Y +17 more
europepmc +1 more source
Covalent organic frameworks (COFs) with metals have been recognized as versatile platforms for photocatalytic CO2 reduction (CO2PRR). Herein, an overview of metal integration strategies for COFs is systematically summarized. Regulatory mechanisms and structure–activity relationships between metal integration and COF‐based CO2PRR are emphasized.
Jie He +5 more
wiley +1 more source
Explainable machine learning for incipient anomaly detection in compact molten salt heat exchanger with overlapping feature distributions. [PDF]
Prantikos K +4 more
europepmc +1 more source
High Entropy Wide‐Bandgap Borates with Broadband Luminescence and Large Nonlinear Optical properties
High‐entropy rare‐earth borates exhibit excellent nonlinear optical and broadband luminescence properties arising from multi‐component doping, chemical disorder, increased configurational entropy, and increased lattice and electronic anharmonicity. This formulation enabled us to obtain a large, environmentally stable single crystal with 3X higher laser‐
Saugata Sarker +14 more
wiley +1 more source
Concerns on classification, statistical methods, and interpretation in NMA on acupuncture for endometriosis. [PDF]
Huang W, Du X.
europepmc +1 more source

