Enhancing Locomotion-Mode Recognition and Transition Prediction with (Bio)Mechanical Sensor Fusion for Intelligent Prosthetic Knees [0.03%]
基于(生)-力学传感器融合的智能假肢膝关节步态模式识别与切换预测研究增强
Xiaoming Wang,Shaoping Bai,Linrong Li et al.
Xiaoming Wang et al.
The ability to continuously recognize locomotion modes and accurately predict transition intentions is essential for intelligent prosthetic knees. In this study, an innovative framework for locomotion recognition and transition prediction w...
Refocal Loss in Transformer for Long-Tailed Multi-Granularity Cataract Classification [0.03%]
Transformer中用于长尾多粒度白内障分类的Re focal Loss
Qiong Wang,Yan Wang,Hongdi Sun et al.
Qiong Wang et al.
Different cataract types and various severities usually require different countermeasures. For automatic cataract diagnosis, existing cataract classification methods group cataracts into common types, such as nuclear cataract, cortical cata...
A Machine Learning Analysis of Physiological Monitoring Signals to Detect Small Airway Narrowing Due to Cold Air Exposure in Asthma [0.03%]
基于机器学习的生理监测信号分析用于检测哮喘患者吸入冷空气后的小气道狭窄
Shaghayegh Chavoshian,Yan Fossat,Xiaoshu Cao et al.
Shaghayegh Chavoshian et al.
Asthma is a chronic inflammatory disease of the small airways, affecting over 200 million people globally. Cold air exposure is a potential risk factor for asthma exacerbations. We hypothesized that monitoring physiological signals during e...
Phage Host Prediction Using Deep Neural Network with Multi-source Protein Language Models and Squeeze-and-Excitation Attention Mechanism [0.03%]
基于多源蛋白语言模型和挤压与激励注意机制的深度神经网络噬菌体宿主预测方法
Peng Gao,Long Xu,Yuan Bai et al.
Peng Gao et al.
Phage therapy (PT) has become a promising alternative for treating infections with the increase of antimicrobial resistance. PT utilizes phages to bind to specific receptors on bacterial surfaces via receptor-binding proteins (RBPs), enabli...
DRL-HNet: A Deep Residual Learning Framework for Microbe-Drug Associations Prediction Using Heterogeneous Network Feature [0.03%]
基于异构网络特征的微生物-药物关联预测的深度残差学习框架
Jing Chen,Leyang Zhang,Yifei Wang et al.
Jing Chen et al.
In the field of biomedicine, predicting microbe-drug associations (MDAs) is crucial for advancing drug discovery and personalized therapy. However, traditional experimental approaches often fall short in meeting requirements for accuracy an...
CADNet: A lightweight Neural Network for Coronary Artery Disease Classification Using Electrocardiogram Signals [0.03%]
一种用于心电图信号冠状动脉疾病分类的轻量级神经网络方法
Atitaya Phoemsuk,Vahid Abolghasemi
Atitaya Phoemsuk
Coronary Artery Disease (CAD) is characterised by a diminished capacity of the coronary arteries to supply sufficient blood, oxygen and nutrients to the heart. It primarily develops due to the presence of fat deposits and arterial plaques, ...
B Aubouin-Pairault,M Reus,B Meyer et al.
B Aubouin-Pairault et al.
In this paper, the problem of triggering early warning for intra-operative hypotension (IOH) is addressed. Recent studies on the Hypotension Prediction Index have demonstrated a gap between the results presented during model development and...
Confidence-aware adaptive fusion leaning of imbalance multi-modal data for cancer diagnosis and prognosis [0.03%]
基于不平衡多模态数据的自信适应性融合学习在癌症诊断和预后中的应用
Ziye Zhang,Shijin Wang,Yuying Huang et al.
Ziye Zhang et al.
The effective fusion of pathological images and molecular omics holds significant potential for precision medicine. However, pathological and molecular data are highly heterogeneous, and large-scale multi-modal cancer data often suffer from...
Collaborative Relation Augmentation With Hierarchical Prescription Inference for Medication Recommendation [0.03%]
基于分层处方推理的协作关系增强型用药推荐方法
Xiaobo Li,Xiaodi Hou,Fanjun Meng et al.
Xiaobo Li et al.
Medication recommendation systems have emerged as crucial tools in healthcare, offering personalized and effective drug combinations tailored to individual patient's clinical profiles. However, most existing approaches primarily focus on dr...
Boosting Few-shot Semantic Segmentation of 3D Medical Images via Collaborative Slice Alignment [0.03%]
基于协作切片对齐的Few-shot医学图像语义分割方法研究
Ran Duan,Jialun Pei,Zhiwei Wang et al.
Ran Duan et al.
Few-shot semantic segmentation (FSS) of 3D medical images requires finding a 2D slice from the labeled volume as support to 'query' slices of the unlabeled one. Accurately determining support slices is crucial for learning representative pr...