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
Enhancing interpretability for Bayesian basket trial designs by effective sample size. [PDF]
BMC Med Res MethodolChen X +5 more
europepmc +1 more source
Challenges and Opportunities in Machine Learning for Light‐Emitting Polymers
Macromolecular Rapid Communications, EarlyView.The performance of light‐emitting polymers emerges from coupled effects of chemical diversity, morphology, and exciton dynamics across multiple length scales. This Perspective reviews recent design strategies and experimental challenges, and discusses how machine learning can unify descriptors, data, and modeling approaches to efficiently navigate ...
Tian Tian, Yinyin Bao
wiley +1 more source
Movement Disorders Clinical Practice, EarlyView.Abstract Background Parkinson's disease (PD) is associated with both motor and non‐motor symptoms, which collectively impact activities of daily living (ADLs) and contribute to the loss of functional independence. There is a lack of understanding of how non‐motor symptoms drive this loss in independence.
Charlotte B. Stewart +8 more
wiley +1 more source
Informing the Borrowing Process for Dose-Finding Trials by Estimating the Similarity Between Population-Specific Dose-Toxicity Curves. [PDF]
Pharm StatZocholl D +3 more
europepmc +1 more source
Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery
Med Research, EarlyView.The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu +3 more
wiley +1 more source
Segment level safety analysis using lane-changing behavior and driving volatility features from connected vehicle trajectories. [PDF]
Sci RepHan L, Abdel-Aty M.
europepmc +1 more source
Mathematical Methods in the Applied Sciences, EarlyView.ABSTRACT Nonlinear differential equations play a fundamental role in modeling complex physical phenomena across solid‐state physics, hydrodynamics, plasma physics, nonlinear optics, and biological systems. This study focuses on the Shynaray II‐A equation, a relatively less‐explored parametric nonlinear partial differential equation that describes ...
Aamir Farooq +4 more
wiley +1 more source
An integrated analysis method for critical human factors and paths in hazardous chemical storage accidents based on association rule mining and bayesian networks. [PDF]
PLoS OneMa S, Jiang W.
europepmc +1 more source
Technical Review of Magnetic Resonance Fingerprinting Applications in Cerebral Physiology
Magnetic Resonance in Medicine, EarlyView.ABSTRACT Magnetic resonance fingerprinting (MRF) enables quantitative MRI by allowing the simultaneous mapping of multiple tissue properties through innovative acquisition and computational methods. This review focuses on the application of MRF techniques to cerebral physiology, emphasizing advancements in vascular imaging and the integration of ...
Chieh‐Te Lin +2 more
wiley +1 more source