Results 161 to 170 of about 5,109,469 (203)
Essential Updates 2024–2026: Advances in Colorectal Cancer Surgery
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
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
M2BPGi reflects background liver fibrosis and hepatic functional impairment. PET SUVmax reflects tumor metabolic aggressiveness. Their combination identifies a dual‐high subgroup with the poorest recurrence‐free and overall survival. ABSTRACT Aim To evaluate the prognostic significance of preoperative Mac‐2 binding protein glycosylation isomer (M2BPGi)
Kojiro Shirabe +8 more
wiley +1 more source
CD86‐positive mature tertiary lymphoid structures were associated with increased intratumoral CD8+ T‐cell infiltration, a higher proportion of Granzyme B‐expressing CD8+ T cells in an exploratory analysis, and favorable clinical outcomes in pancreatic ductal adenocarcinoma.
Takaomi Seki +10 more
wiley +1 more source
Large Language Model‐Based Chatbots in Higher Education
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 +4 more
wiley +1 more source
A Language‐Guided Multimodal Foundation Model for Zero‐Shot and Multi‐Task Brain Signal Analysis
METIS aligns brain signals with natural‐language instructions to enable zero‐shot and multi‐task brain signal analysis. Pretrained on over 70 000 h of EEG and iEEG recordings, it generalizes across sleep stage classification, epilepsy detection, and neurological disorder diagnosis, providing a scalable foundation model for clinically meaningful brain ...
Mingzhi Chen +3 more
wiley +1 more source
A schema‐first alignment framework builds compact, executable domain‐specific language models under data scarcity. Large‐scale synthetic question‐answer generation instills domain knowledge, and a code‐centric IR‐to‐DPO pipeline aligns generation with tool‐executable syntax.
Di Wang +4 more
wiley +1 more source
An large language model‐powered multimodal framework is developed for robotic endoscope control. It integrates speech recognition and real‐time instrument tracking, achieving 89.47% command accuracy with ~1s latency for natural human–robot interaction in minimally invasive surgery.
Yisen Huang +7 more
wiley +1 more source
Secure Fusion‐X harmonizes unstructured NVD descriptions with structured CVSS/CWE/CPE metadata via decision‐level fusion, overcoming the fragility of traditional unimodal models. Automated assessment of software vulnerability exploitability is essential for intelligent cyber defense, yet its effectiveness is often hindered by unstable, delayed, or ...
Mona Dolati +3 more
wiley +1 more source
Food insecurity and unemployment among immigrants in the United States
Abstract Immigrants can be more vulnerable to economic downturns and, during periods of economic hardship, more likely to experience food insecurity compared to natives. This study examines the differential effect of the unemployment rate on the probability of being food insecure among diverse groups of immigrant households relative to natives in the ...
Siwen Zhou +3 more
wiley +1 more source

