CTBN-PH: A continuous-time Bayesian network for individualised diagnostic risk prediction [0.03%]
CTBN-PH：一种用于个性化诊断风险预测的连续时间贝叶斯网络
Guillem Hernández Guillamet,Francesc López Seguí,Josep Vidal Alaball et al.
Guillem Hernández Guillamet et al.
Continuous-time Bayesian networks (CTBNs) are powerful tools for modelling and predicting complex disease trajectories in continuous-time scenarios. However, their application is often limited by a lack of individualisation in the results, ...
Enhanced shear wave attenuation estimation with expanded bandwidth in viscoelastic media [0.03%]
基于扩频的黏弹性介质剪切波衰减增强估计方法
Piotr Kijanka,Ramin Almasi
Piotr Kijanka
Ultrasound shear wave elastography (SWE) is widely employed to differentiate healthy from pathological tissues based on their viscoelastic mechanical properties. Although elasticity has traditionally been the main focus, tissue viscosity al...
Corrigendum to "Bioactive potential of Centella asiatica leaf extract in acetylcholinesterase (AChE) inhibition: Insights from multiple ligand mapping" [Comput. Biol. Med. 197 (2025) 110970] [0.03%]
“Centella asiatica叶提取物的生物活性在乙酰胆碱酯酶(AChE)抑制中的潜力：多重配体映射的见解”一文的勘误项 [Comput. Biol. Med. 197 (2025) 110970]
Miski Aghnia Khairinisa,Taufik Muhammad Fakih,Dwi Syah Fitra Ramadhan
Miski Aghnia Khairinisa
Published Erratum
Computers in biology and medicine. 2025 Sep 22:111108. DOI:10.1016/j.compbiomed.2025.111108 2025
Strategic frameworks: A review of game theory methods for privacy preservation in digital health [0.03%]
战略框架：用于数字健康隐私保护的博弈论方法综述
Hamed Narimani,Maryam Ansarian,Zahra Baharlouei
Hamed Narimani
With the advancement of technology and the transition towards a digital world, the field of health and medicine is rapidly evolving in this direction. To fully harness the benefits of digital health, it is crucial to address the associated ...
Energy concentration-based optimization of Gaussian window reassignment for time-frequency analysis, and its application in analyzing the non-stationary spectral and coherence of cardiovascular signals [0.03%]
基于能量聚集的高斯窗重分配时间频域分析优化及其在心血管信号非定常谱和相干分析中的应用
Henok Mezemr Besfat,Demissie Jobir Gelmecha,Ram Sewak Singh
Henok Mezemr Besfat
The non-stationary nature of cardiovascular signals necessitates time-frequency (TF) methodologies that can precisely capture and characterize temporal variations in their frequency components. This study aims to explore the Non-Stationary ...
Exploring transfer learning techniques for classifying Alzheimer's disease with rs-fMRI [0.03%]
基于rs-fMRI的阿尔茨海默病分类的迁移学习方法研究
Somayeh Abbasabadi,Parviz Fattahi,Mahdyeh Shiri
Somayeh Abbasabadi
Alzheimer's disease, the most prevalent form of dementia, leads to a fatal progression after progressively destroying memory at each stage. This irreversible disease appears more frequently in older populations. Even though research on Alzh...
Machine learning-driven discovery of NSC828779 as a multi-mechanistic NLRP3 inflammasome inhibitor for inflammatory diseases [0.03%]
基于机器学习发现的NSC828779通过多种机制抑制NLRP3炎性小体以治疗炎症性疾病
Sung-Ling Tang,Maryam Rachmawati Sumitra,Lung-Ching Chen et al.
Sung-Ling Tang et al.
The NLRP3 inflammasome is a key regulator of the innate immune response and a promising therapeutic target in inflammation-driven diseases. This study aimed to identify potent nature inspired small molecules using AI-guided in silico techni...
Benign vs malignant tumors classification from tumor outlines in mammography scans using artificial intelligence techniques [0.03%]
基于人工智慧技术的乳房X线摄影扫描中从肿瘤轮廓分类良恶性肿瘤
Hamidreza Mortazavy Beni,Fatemeh Yekta Asaei
Hamidreza Mortazavy Beni
Breast cancer is one of the most important causes of death among women due to cancer. With the early diagnosis of this condition, the probability of survival will increase. For this purpose, medical imaging methods, especially mammography, ...
Effects of pulmonary hypertension on right ventricular mechanics and coronary perfusion: Insights from computational simulations [0.03%]
肺动脉高压对右心室力学和冠脉灌注的影响：来自计算模拟的见解
Chenghan Cai,Jenny S Choy,Ge He et al.
Chenghan Cai et al.
Pulmonary hypertension (PH), defined by elevated mean pulmonary arterial pressure (mPAP), is a leading cause of right heart failure (RHF). However, the mechanisms linking PH to ventricular dysfunction and coronary ischemia remain unclear. A...
Automatic motor and visuospatial cognition screening with ensemble learning: A computerised clock drawing test approach [0.03%]
基于集成学习的自动运动和视觉空间认知筛查：计算机化画钟测试方法
Andrius Lauraitis,Armantas Ostreika,Gintaras Palubeckis et al.
Andrius Lauraitis et al.
We propose a supervised ensemble learning-based approach to evaluate the significance of the digitised analogue clock drawing test (CDT) for the detection of neural impairments in patients with early-stage central nervous system disorders (...