Results 321 to 330 of about 10,907,013 (387)

Perioperative outcomes of esophagectomy after doublet versus docetaxel‐based triplet neoadjuvant chemotherapy in older patients: A nationwide inpatient database study in Japan

Annals of Gastroenterological Surgery, EarlyView.
In this nationwide inpatient database study of 5229 patients aged 70–79 years who underwent esophagectomy for cancer after neoadjuvant chemotherapy, overlap propensity score weighting analysis showed that neoadjuvant docetaxel‐based triplet regimen (docetaxel, cisplatin, and 5‐fluorouracil) was not associated with a higher incidence of perioperative ...
Yuki Hirano, Takaaki Konishi, Hidehiro Kaneko, Satoru Matsuda, Hirofumi Kawakubo, Yuya Kimura, Hiroki Matsui, Kiyohide Fushimi, Hiroyuki Daiko, Osamu Itano, Hideo Yasunaga, Yuko Kitagawa   +11 more
wiley   +1 more source

Regional and patient characteristic disparities in the outcomes of minimally invasive surgery for colorectal cancer in Japan

Annals of Gastroenterological Surgery, EarlyView.
This study aimed to clarify whether differences in minimally invasive surgery outcomes are associated with regional and patient characteristics. This study found regional and patient characteristic disparities in minimally invasive surgical outcomes; national policies should be implemented to address these inequities.
Atsushi Hamabe, Arata Takahashi, Hiraku Kumamaru, Hiroshi Hasegawa, Koki Otsuka, Yoshihiro Kakeji, Ken Shirabe, Masafumi Inomata, Yuko Kitagawa, Ichiro Takemasa   +9 more
wiley   +1 more source

Optimal Extent of Lymph Node Dissection for Non‐Metastatic Colon Cancer by Tumor Location: Evaluation of the Therapeutic Value Index for Each Lymph Node Station

Annals of Gastroenterological Surgery, EarlyView.
Lymph node dissection of the main nodes along the feeding artery has a therapeutic value in early‐stage colon cancers. Meanwhile, the significance of #253 dissection for descending colon cancer requires further discussion. ABSTRACT Aims To determine the optimal extent of lymph node dissection for non‐metastatic colon cancer by tumor location based on ...
Akira Ouchi, Kozo Kataoka, Eiji Shinto, Takashi Akiyoshi, Takefumi Yoshida, Yasuyuki Takamizawa, Yukihide Kanemitsu, Hirotoshi Kobayashi, Yoichi Ajioka, on behalf of the Lymph Nodes Committee of JSCCR   +9 more
wiley   +1 more source

Public Debt Policies

, 2016
Reischmann, Markus
core  

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Advancements in Machine Learning for Microrobotics in Biomedicine

Advanced Intelligent Systems, EarlyView.
Microrobotics is an innovative technology with great potential for noninvasive medical interventions. However, controlling and imaging microrobots pose significant challenges in complex environments and in living organisms. This review explores how machine learning algorithms can address these issues, offering solutions for adaptive motion control and ...
Amar Salehi, Soleiman Hosseinpour, Nasrollah Tabatabaei, Mahmoud Soltani Firouz, Niloufar Zadebana, Richard Nauber, Mariana Medina‐Sánchez   +6 more
wiley   +1 more source

Trade Realignments and the Need for Integrated Modeling Research in Latin America's Agri‐Food Sector

Agribusiness, EarlyView.
Emiliano Lopez Barrera
wiley   +1 more source

Artificial Intelligence‐Enhanced, Closed‐Loop Wearable Systems Toward Next‐Generation Diabetes Management

Advanced Intelligent Systems, EarlyView.
Recent advancements in wearable healthcare have brought accessible continuous glucose monitoring systems (CGMs) for diabetes management. To address the limitations of CGMs, closed‐loop systems utilizing monitored glucose levels for insulin dosing are being developed.
Wei Huang, Ivo Pang, Jing Bai, Binbin Cui, Xiaojuan Qi, Shiming Zhang   +5 more
wiley   +1 more source

R‐APEX: A Knowledge Graph–Based Platform for the Elucidation of the Toxicological Mechanisms of Ambient Particulate Matter

Advanced Intelligent Systems, EarlyView.
R‐APEX is a knowledge graph platform developed to investigate how air pollutants such as particularly fine particulate matter (PM2.5) affect human health. By integrating large‐scale biomedical data and using machine learning, it reveals pollutant–gene–disease associations.
Zhixing Zhu, Jingcheng Yang, Xiaofei Li, Zhijie Zheng, Georgi Z. Genchev, Yuchen Ye, Liang Liu, Zihan Ran   +7 more
wiley   +1 more source