Results 191 to 200 of about 261,267 (263)

Impact of Postoperative Infectious Complications on Long‐Term Survival After Curative Resection for Colorectal Cancer: A Multicenter Study in the Minimally Invasive Era

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Postoperative infectious complications (PICs) have been associated with poor long‐term outcomes after colorectal cancer surgery, but evidence in the modern minimally invasive era remains limited. In this multicenter cohort of 5377 patients undergoing curative resection, PICs were independently associated with worse overall survival and relapse‐free ...
Takehito Yamamoto   +7 more
wiley   +1 more source

Pulmonary Metastasectomy for Head and Neck Squamous Cell Carcinoma in the Modern Treatment Era. [PDF]

open access: yesInterdiscip Cardiovasc Thorac Surg
Kanzaki R   +7 more
europepmc   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

open access: yesAdvanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin   +4 more
wiley   +1 more source

Specialised and persistent raw material procurement by humans in the Middle Pleistocene. [PDF]

open access: yesNat Commun
Will M   +9 more
europepmc   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

open access: yesAdvanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath   +4 more
wiley   +1 more source

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