Results 241 to 250 of about 979,174 (307)

Interpretation of A Focus Shift From Sarcopenia to Muscle Health in the Asian Working Group for Sarcopenia 2025 Consensus Update

open access: yesAGING MEDICINE, EarlyView.
The AWGS 2025 consensus shifts focus from diagnosing sarcopenia to promoting muscle health across the lifespan. It simplifies diagnosis to low muscle mass plus low strength, expands screening to middle‐aged adults, and integrates muscle health into the WHO ICOPE framework for early intervention and healthy aging.
Bi Jianghan, Li Jiaojiao, Kang Lin
wiley   +1 more source

The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry

open access: yesAgribusiness, EarlyView.
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley   +1 more source

Laparoscopic Colorectal Surgery in the Era of Robotics: Evolution, Eclipse, or Equilibrium?

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
ABSTRACT Minimally invasive colorectal surgery has undergone a remarkable transformation over the past three decades. Laparoscopy, once viewed with skepticism, is now firmly established as a standard approach, supported by robust randomized trials demonstrating oncologic safety and improved recovery compared to open surgery.
Amanjeet Singh   +3 more
wiley   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan   +3 more
wiley   +1 more source

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

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