Results 211 to 220 of about 1,104,894 (228)

Diagnostic Accuracy of Size‐Based Preoperative CT Assessment for Predicting Lymph Node Metastasis in Colon Cancer: A Systematic Review and Meta‐Analysis

Annals of Gastroenterological Surgery, EarlyView.
Preoperative CT based on lymph node size shows moderate accuracy for detecting nodal metastasis in colon cancer. In this meta‐analysis of 29 studies (5,634 patients), pooled sensitivity and specificity were 0.69 and 0.66. Size‐based CT alone has limited value for clinical decision‐making.
Yuji Takayama, Tomoya Shimizu, Jun Watanabe, Shimpei Ogawa, Yukihide Kanemitsu   +4 more
wiley   +1 more source

The Role of Tumor Extent and Post-Embolization Residual Vascularity in Endoscopic Endonasal Surgery for Juvenile Nasopharyngeal Angiofibroma. [PDF]

J Rhinol
Park JH, Kim D, Kim HY, Jung YG, Ryu G, Hong SD.   +5 more
europepmc   +1 more source

A rational strategy to optimize photodrugs by Molecular Dynamics simulations for killing drug‐resistant Gram‐negative bacteria

AIChE Journal, EarlyView.
Abstract Antimicrobial resistance has become a major threat to human health, particularly for Gram‐negative bacteria such as Acinetobacter baumannii and Klebsiella pneumoniae. Disruption of membrane integrity is regarded as a promising antimicrobial strategy that does not induce distinct drug resistance, while increasing the internalization of drug ...
Lei Hao, Yeonho Song, Cheng Zhang, Yumei Wang, Haoying Ge, Wen Sun, Jingyun Wang, Jun Soo Kim, Xiaojun Peng, Juyoung Yoon, Haidong Li   +10 more
wiley   +1 more source

Initial Circulating CD138 Predicts End-Stage Kidney Disease in Patients with Microscopic Polyangiitis. [PDF]

Yonsei Med J
Pyo JY, Park YB, Lee SW.
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Alcohol consumption and the risk of coronavirus disease 2019: A prospective cohort study. [PDF]

Medicine (Baltimore)
Kwon D, Yi SW.
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

AS‐pHopt: An Optimal pH Prediction Model Enhanced by Active Site of Enzymes

Advanced Intelligent Discovery, EarlyView.
To address the low accuracy of enzyme optimal pH (pHopt) prediction, this study develops active site‐based pHopt (AS‐pHopt), a prediction model enhanced by active site information and pseudo‐label prediction. Integrating key structural and physicochemical features affecting enzyme pHopt, AS‐pHopt uses Evolutionary Scale Modeling (ESM)‐2 with active ...
Wenxiang Song, Xinmin Li, Hongbo Yu, Le Xiong, Guixia Liu, Weihua Li, Yun Tang   +6 more
wiley   +1 more source

Mid-Term Outcomes of Acetabular Reconstruction Using a Rapid Prototyping Pelvic Model in Complex Total Hip Arthroplasty. [PDF]

Yonsei Med J
Ryu HG, Kim KH, Ahn SJ, Kim SM.
europepmc   +1 more source

Genetic architecture of plasma pTau217 and related biomarkers in Alzheimer's disease via genome-wide association studies. [PDF]

Alzheimers Dement
Kim JP, Song M, Cho M, Lee H, Jung SH, Lim S, Kim C, Jang B, Shin D, Kang H, Yim S, Jang H, Kim BH, Kim HJ, Na DL, An JY, Zetterberg H, Blennow K, Gonzalez-Ortiz F, Ashton NJ, Day TA, Seo SW, Won HH.   +22 more
europepmc   +1 more source