Results 121 to 130 of about 836 (212)

Short‐Term Outcomes and Cost Drivers of Emergency Surgery for Acute Abdominal Disease in Super‐Elderly Patients: A Study in the Japanese Tertiary Care Hospital

Annals of Gastroenterological Surgery, EarlyView.
This retrospective study analyzed patients aged ≥ 85 years undergoing emergency abdominal surgery, focusing on short‐term outcomes and inpatient cost structure under the Japanese DPC system. Although major complications occurred in 19.4% of patients, more than 70% were discharged home.
Yuta Kobayashi, Ryo Oikawa, Yumi Shibuya, Masakazu Tatsuno, Atsuya Kamiyama, Tsuyoshi Ozawa, Keiichiro Hara, Shojiro Hata, Hirokazu Yamaguchi   +8 more
wiley   +1 more source

Multidisciplinary Treatment for Esophagogastric Junction Cancer From a Dutch Perspective

Annals of Gastroenterological Surgery, EarlyView.
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, Suzanne S. Gisbertz   +1 more
wiley   +1 more source

Prediction of Long‐Term Prognosis in Patients With Hepatocellular Carcinoma Using the National Clinical Database Risk Calculator

Annals of Gastroenterological Surgery, EarlyView.
This study aimed to determine the value of the National Clinical Database (NCD) risk calculator in predicting surgical outcomes and long‐term prognosis in patients undergoing resection for hepatocellular carcinoma (HCC). We retrospectively analyzed data from 210 patients with HCC who underwent initial hepatic resection, assessing the relationship ...
Mariko Tsukagoshi, Kenichiro Araki, Norio Kubo, Takamichi Igarashi, Shunsuke Kawai, Kei Hagiwara, Kouki Hoshino, Ryo Muranushi, Ken Shirabe   +8 more
wiley   +1 more source

Essential Updates 2024–2026: Advances in Colorectal Cancer Surgery

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Surgical innovation in colorectal cancer is increasingly judged not by technical feasibility alone, but by whether it improves oncological outcomes, preserves function, reduces morbidity, or makes difficult procedures more reproducible. This structured narrative review examines major surgical studies published from January 2024 through July ...
Hiroyasu Kagawa, Yusuke Kinugasa
wiley   +1 more source

Current Status and Future Perspectives of Robotic Surgery for Esophagogastric Cancer in Asia

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Robotic‐assisted surgery (RAS) has moved from an experimental adjunct to an increasingly established component of gastrointestinal (GI) oncological practice in parts of Asia, a region that carries a disproportionately high burden of gastric and esophageal cancer. Asian surgeons have been among the earliest and most prolific contributors to the
Jia Jun Ang, Jimmy Bok Yan So
wiley   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring

Advanced Intelligent Discovery, EarlyView.
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira, Marcos de C. Leite, Pedro H. M. Zanineli, Juliana N. Y. Costa, Débora M. Cunha, Sophia P. Serra, Pedro H. Sophia, Flávio M. Shimizu, Yasmin W. Moura, Célio C. Oliveira, Gabriel R. Schleder, Gabriela F. Persinoti, Leandro Merces, Renato S. Lima   +13 more
wiley   +1 more source

Artificial Intelligence (AI) and Agribusiness: From Automation to Augmentation in a Global Context

Agribusiness, EarlyView.
Alexis H. Villacis
wiley   +1 more source

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

Advanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer, Muhammad Nabeel Asim, Shan Munir, Andreas Dengel   +3 more
wiley   +1 more source

LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?

Advanced Intelligent Discovery, EarlyView.
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler, Manuel Raimann, Marc Münker, Maxim Rosin, Joaquin E. Urrutia Gómez, Christof M. Niemeyer, Markus Reischl, Luca Rettenberger   +7 more
wiley   +1 more source