Journal of Magnetic Resonance Imaging, EarlyView.ABSTRACT Background Intravoxel incoherent motion (IVIM) analysis of diffusion‐weighted MRI (DWI) provides microvascular perfusion and diffusion information. However, parameter estimation is limited by noise sensitivity, variability across fitting methods, and lack of standardization.
Misha P. T. Kaandorp +3 more
wiley +1 more source
Integrated machine learning and molecular dynamics framework for predicting and elucidating ABCB1 allocrite interactions. [PDF]
Brief BioinformSu J, Wu Y, Xiong W, Ouyang D.
europepmc +1 more source
Residual Neural Network Compensation of Temperature‐Induced Gamma Shift in OLED Display
Journal of the Society for Information Display, EarlyView.The figure summarizes the proposed white‐only sensing framework and highlights its key advantages in improving color accuracy and reducing calibration time ABSTRACT Organic light‐emitting diode (OLED) displays exhibit temperature‐induced chromatic shifts and luminance‐dependent nonlinear responses, causing CIEDE2000 color difference (ΔE) and local ...
Ching‐Hsiang Hsu, Mang Ou‐Yang
wiley +1 more source
Deep learning-based classification of student GPA integrating psychological and family factors in the post-pandemic era. [PDF]
Front PsycholZhang H, Fang F, Wang Y, Huang Y, Li Y.
europepmc +1 more source
Macromolecular Rapid Communications, EarlyView.When seeking nanoparticles with elevated drug loading content, the experimental setup, including solvent selection, is crucial. Through machine learning, we pinpointed that the drug's solubility in the organic solvent is the key factor for attaining high drug loading content.
Wei Ge +4 more
wiley +1 more source
Deep learning-based classification of nitrate and nitrite concentrations from water samples using colorimetric test strip images. [PDF]
Environ Monit AssessRoman M +6 more
europepmc +1 more source
Uncovering Key Characteristics of Antibacterial Peptides through Machine Learning
Macromolecular Rapid Communications, EarlyView.Machine‐learning (ML) techniques using random forest classification models revealed key characteristics that predict effective antimicrobial peptides (AMPs) targeting Gram‐negative bacteria, Gram‐positive bacteria, and mycobacteria. The ideal cLogP (<$ < $−6) and net‐charge (≤+4) threshold was the same for all three targets with variations in the ...
Jooyoung Roh +2 more
wiley +1 more source
District-Level Dengue Early Warning Prediction System in Bangladesh Using Hybrid Explainable AI and Bayesian Deep Learning. [PDF]
Trop Med Infect DisShiddik MAB +3 more
europepmc +1 more source
Transition management and the need for mature connections with national and EU innovation policies [PDF]
, 2009 Larosse, Jan +2 more
core +1 more source
Macromolecular Rapid Communications, EarlyView.This work presents a structure‐aware graph convolutional network that models polymers as statistical ensembles to predict macroscopic properties. By combining topologically realistic graphs generated via kinetic Monte Carlo simulations with explicit molar mass distributions, the framework achieves high accuracy in classifying architectures and ...
Julian Kimmig +7 more
wiley +1 more source