Multidisciplinary Treatment for Esophagogastric Junction Cancer From a Dutch Perspective
ABSTRACT Esophagogastric junction (EGJ) cancer is an increasing health burden worldwide. Over the past decade, significant advancements in centralization, multimodal treatment strategies, as well as the widespread adoption of minimally invasive surgical techniques, have led to marked improvements in perioperative outcomes and overall survival of EGJ ...
Hidde C. G. Overtoom +1 more
wiley +1 more source
AI-empowered clinical evidence for integrated Chinese-Western medicine: Introduction to the ACE-iMed series and platform dissemination. [PDF]
Yu X, Ma Y, Luo X, Chen Y, Bian Z.
europepmc +1 more source
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
Hyperpolarization of Pyridine 15N‐Oxide Molecular Probes Enabled by Parahydrogen
Pyridine 15N‐oxides are introduced as motifs for hyperpolarization studies and biochemical applications are demonstrated. ABSTRACT Magnetic resonance (MR) is a powerful non‐invasive technique for probing structural, functional, and metabolic processes with high spatial and temporal resolution.
Ruhuai Mei +8 more
wiley +2 more sources
The Impact of DRG Review Teams on Obstetric Disease Management and Cost Control: A Variance Analysis Approach. [PDF]
Liang X, Zhang R, Liao C, Zhou Y.
europepmc +1 more source
pyGeo: A geometry package for multidisciplinary design optimization
Hannah M. Hajdik +11 more
openaire +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Parametric Optimization of VLM Panel Discretization Using Bio-Inspired Crayfish and Aquila Algorithms Coupled with Hybrid RSM-Based Ensemble Machine Learning Surrogate Models: A Case Study. [PDF]
Eraslan Y, Şengün E.
europepmc +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Design optimization of battery enclosures under nonlinear impact loading using a K-Kriging hybrid surrogate model. [PDF]
Li H, Chen F, Wan C.
europepmc +1 more source

