Results 61 to 70 of about 100,970 (274)

D-dimers are associated with coronary artery disease severity assessed using Syntax and Syntax II scores in patients with ST elevation myocardial infarction

Revista Portuguesa de Cardiologia, 2020
Introduction and objectives: D-dimers are a determinant of hypercoagulable state and have been found to be related to acute coronary syndromes. We aimed to establish the association between increased D-dimer levels and coronary artery disease (CAD ...
Caner Türkoğlu, Hazar Harbalıoğlu, Taner Şeker, Ahmet Oytun Baykan, Onur Kadir Uysal   +4 more
doaj   +1 more source

Multi-slice coronary computed tomography angiography in assessment of coronary artery disease on the basis of syntax score

The Egyptian Journal of Radiology and Nuclear Medicine, 2023
Background The SYNTAX score (SS) was created to aid the Heart Team in assessing the severity and extent of coronary artery disease (CAD) in patients with multi-vessel disease, hence helping in the decision between percutaneous coronary intervention (PCI)
Amira Abd El-Ghany Khedr, Mohammed Fathy Dawoud, Al-Siagy Ali Salama, Taymour Moustafa Abd Allah, Basma Samir El-Deeb   +4 more
doaj   +1 more source

Evaluating automatically acquired f-structures against PropBank [PDF]

, 2005
An automatic method for annotating the Penn-II Treebank (Marcus et al., 1994) with high-level Lexical Functional Grammar (Kaplan and Bresnan, 1982; Bresnan, 2001; Dalrymple, 2001) f-structure representations is presented by Burke et al. (2004b).
Burke, Michael, Cahill, Aoife, van Genabith, Josef, Way, Andy   +3 more
core  

ALKBH3 m1A Demethylase Deficiency Reduces Alzheimer's Amyloid‐β Pathology

Advanced Science, EarlyView.
This study identifies that ALKBH3‐driven m1A demethylation orchestrates Alzheimer's disease progression by disrupting mitochondrial and synaptic homeostasis. This epitranscriptomic mechanism suppresses PINK1‐mediated mitophagy via m1A erasure, leading to mitochondrial dysfunction, oxidative stress, elevated Aβ production, and impaired microglial ...
Yueyang Li, Sifei Yu, Kaidong Lu, Yujie Zhang, Mingjie Dong, Yan Peng, Liang Xue, Waleed Alam, Yuxuan Shui, Yi Zhou, Wuyunhan Ma, Meng Bao, Peiming Li, Peiyi Luo, Tiezhan Lu, Jiajia Li, Kang Zhang, Yuying Wang, Shuchen Yang, Nuoya Yin, Francesco Faiola, Zilong Gao, Jingfeng Zhou, Fei Zhao, Yali He, Magdalena J. Koziol   +25 more
wiley   +1 more source

Relevance of SYNTAX score for assessment of saphenous vein graft failure after coronary artery bypass grafting

Chronic Diseases and Translational Medicine, 2020
Objective: To identify risk factors of saphenous vein graft (SVG) failure and to investigate the utility of anatomical SYNTAX score (SS) and SYNTAX score II (SS-II) in predicting SVG failure. Methods: A total of 598 patients who underwent angiography for
Jia-Hui Li, Xian-Tao Song, Xue-Yao Yang, Wen-Yi Zhang, Hao-Ran Xing   +4 more
doaj   +1 more source

A syntactified direct translation model with linear-time decoding [PDF]

, 2009
Recent syntactic extensions of statistical translation models work with a synchronous context-free or tree-substitution grammar extracted from an automatically parsed parallel corpus.
Hassan, Hany, Sima'an, Khalil, Way, Andy
core   +1 more source

The Role of Artificial Intelligence in Medication Management for Older Adults: A Systematic Review

AGING MEDICINE, EarlyView.
Artificial intelligence enhances medication management for older adults by improving adherence, personalizing treatment, and predicting risks. Despite benefits, challenges remain in usability, trust, ethics, and system integration. Successful adoption requires user‐centered design, ethical safeguards, and seamless healthcare integration to ensure safe,
Dipak Chandra Das, Moustaq Karim Khan Rony, Shovit Dutta, MD. Sami Al Zubair Zujbe, Tapan Bhattacharjee, Niloy Debnath, Shabbir Abdullah Maruf, Chowdhury Galib Mortuza, Farhana Rahman, Akash Das   +9 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

Association of Tp-e/QT ratio with SYNTAX score II in patients with coronary artery disease

Scandinavian Cardiovascular Journal, 2022
Background. The SYNTAX score II (SS) is an angiographic tool, which grades the complexity of coronary artery lesions and predicts short- and long-term events. Tp-e/QT ratio is a novel electrocardiographic marker for the risk of ventricular arrhythmias. We aimed to investigate whether there was a correlation between SS and Tp-e/QT ratio.Methods. A total
Faysal Şaylık, Tufan Çınar, Murat Selçuk, Tayyar Akbulut   +3 more
openaire   +2 more sources

Advanced Experiment Design Strategies for Drug Development

Advanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang, Anthony Harker, Mohan Edirisinghe, Maryam Parhizkar   +3 more
wiley   +1 more source