Results 221 to 230 of about 343,726 (278)

Extralevator Abdominoperineal Excision Improves Overall Survival Compared to Standard Abdominoperineal Excision: A Systematic Review and Meta‐Analysis

Annals of Gastroenterological Surgery, EarlyView.
This systematic review and meta‐analysis of 38 studies, encompassing over 5000 patients, compared extralevator abdominoperineal excision (ELAPE) with standard abdominoperineal excision (APE) in patients with advanced low rectal cancer. ELAPE was associated with significantly improved overall and disease‐free survival, reduced intraoperative perforation
Sarolta Beáta Kávási, Diana‐Elena Floria, Anett Rancz, Dániel Sándor Veres, Nándor Faluhelyi, Pál Miheller, Péter Hegyi, Szabolcs Ábrahám   +7 more
wiley   +1 more source

Association of a Multimodal Perioperative Care Program With Postoperative Complications in Elderly Patients Undergoing Gastrectomy for Gastric Cancer

Annals of Gastroenterological Surgery, EarlyView.
Implementation of a multimodal perioperative care program and reduction of postoperative complications. ABSTRACT Purpose This retrospective study aimed to assess the clinical effectiveness of a multimodal perioperative care program in reducing postoperative complications in elderly patients undergoing gastrectomy for gastric cancer.
Keiichi Fujiya, Hiroshi Fuseya, Yusuke Yonenaga, Keiko Sanada, Toshimi Inano, Yumi Oguma, Kazuko Nakajima, Chikako Ando, Kumiko Oka, Yusuke Koseki, Kenichiro Furukawa, Yutaka Tanizawa, Masanori Terashima, Etsuro Bando   +13 more
wiley   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Analysis of Consistency Between Forensic Psychiatric Evaluation Diagnosis and Previous Clinical Psychiatric Diagnosis: A Retrospective Study. [PDF]

J Multidiscip Healthc
Li M, Cao Y, Wang X, Li L, Wu C, Yi X, Wang K, Zheng H, Liu Y, Xiong Z, Gong J, Ji Q.   +11 more
europepmc   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source

Post-Mortem Biomarkers in Sudden Cardiac Death: From Classical Biochemistry to Molecular Autopsy and Multi-Omics Forensic Approaches. [PDF]

Int J Mol Sci
Sacco MA, Mastrangelo H, Neri G, Aquila I.   +3 more
europepmc   +1 more source

Academic Dismissals from State-Supported Universities: A Study in Policy [PDF]

, 2011

core   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

A study of Chinese law on restricting personal liberty for public health protection: taking the COVID-19 epidemic as the entry point. [PDF]

Front Public Health
Liu T, Ma Z.
europepmc   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source