Results 171 to 180 of about 70,380 (268)

Japanese Language Processing : Japanese Style

open access: yesThe Japanese Journal of Language in Society, 2009
openaire   +1 more source

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

Computer Vision Pipeline for Image Analysis for Freeze‐Fracture Electron Microscopy: Rosette Cellulose Synthase Complexes Case

open access: yesAdvanced Intelligent Discovery, EarlyView.
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri   +6 more
wiley   +1 more source

AI Powered Biobanks From Static Archives to Dynamic Discovery Engines

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models (LLMs) provide a potential framework for transforming biobanks from static data repositories into intelligent discovery engines. By enabling unified representation and analysis of multimodal biomedical data, LLM‐based systems facilitate dynamic risk prediction, biomarker identification, and mechanistic interpretation, thereby ...
Wenzhen Yin   +5 more
wiley   +1 more source

Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets

open access: yesAdvanced Intelligent Discovery, EarlyView.
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez   +4 more
wiley   +1 more source

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