Results 181 to 190 of about 9,958 (247)

Structure‐Aware Machine Learning for Polymers: A Hierarchical Graph Network for Predicting Properties From Statistical Ensembles

open access: yesMacromolecular 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

Impact of axial length correction in high intraocular pressure eyes on intraocular lens power calculation. [PDF]

open access: yesPLoS One
Kosaka Y   +6 more
europepmc   +1 more source

Closing the Gate Before the Horse is out of the Barn: A Model to Effectively Predict the First Fall in Patients with Parkinson's Disease

open access: yesMovement Disorders Clinical Practice, EarlyView.
Abstract Background Most fall‐prediction models in Parkinson's disease (PD) rely on prior falls, limiting prevention. The Waiting Room of the Future (WROTF) platform collects standardized motor and cognitive measures during routine visits, integrated into electronic health records (EHR).
Saar Anis   +5 more
wiley   +1 more source

Exocrine Gland Dysfunction in Parkinson's Disease: Pathophysiology, Clinical Manifestations, and Therapeutic Perspectives—A Narrative Review

open access: yesMovement Disorders Clinical Practice, EarlyView.
Abstract Background Non‐motor symptoms, especially autonomic dysfunction, are major contributors to disability and decreased quality of life in Parkinson's disease (PD). Despite being common and having a wide range of clinical facets, exocrine gland dysfunction is still not well recognized and managed.
Renato P. Munhoz   +2 more
wiley   +1 more source

Semantic Embeddings of Chemical Elements for Enhanced Materials Inference and Discovery

open access: yesMaterials Genome Engineering Advances, EarlyView.
ElementBERT extracts semantic embeddings of chemical elements from 1.29 million alloy‐related abstracts, providing robust descriptors that improve prediction accuracy by up to 23% across titanium, high‐entropy, and shape memory alloys, with demonstrated generalization on alloy compositions reported in 2025.
Yunze Jia   +7 more
wiley   +1 more source

Machine Learning‐Driven Predictive Modeling and Multi‐Objective Exploration of Oxaliplatin‐Loaded Nanocarriers for Enhanced Loading and Encapsulation Efficiency

open access: yesMaterials Genome Engineering Advances, EarlyView.
Integrating ML and multi‐objective optimization enabled efficient, accurate design of nanocarriers with optimized loading and encapsulation efficiencies. ABSTRACT Oxaliplatin (OXA), a critical third‐generation platinum chemotherapeutic, is significantly limited by suboptimal loading capacity and encapsulation efficiency in nanoparticle‐based delivery ...
Abbas Rahdar   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy