Non-invasive tidal volume estimation with wearable sensors using a high-gain observer and deep learning [0.03%]
基于高增益观测器和深度学习的可穿戴传感器潮气量无创估计方法
Meng Ba,Paolo Pianosi,Rajesh Rajamani
Meng Ba
Non-invasive tidal volume (TV) estimation can be valuable for respiratory monitoring, particularly for patients needing continuous assessment. Traditional spirometry-based methods are precise but impractical for daily use due to their invas...
Trust and accuracy in AI: Optometrists favor multimodal AI systems over unimodal for glaucoma diagnosis in collaborative environment [0.03%]
信任与准确性：验光师偏好多模态AI系统而非单模态系统用于协作环境下的青光眼诊断
Faisal Ghaffar,Yousuf Zia Islam,Nadine Furtado et al.
Faisal Ghaffar et al.
Background: User trust and decision accuracy are crucial for the successful collaboration of humans and Artificial Intelligence (AI) systems, especially in clinical settings such as glaucoma diagnosis. Both trust and accu...
Eudesma-4(15), 7-dien-1-β-ol, A promising natural drug candidate for Alzheimer's disease targeting the NMDA pathway: GC-MS identification, molecular docking, pharmacokinetic and molecular dynamic analysis [0.03%]
欧德斯马-4(15)，7-二烯-1-β-醇：针对阿尔茨海默病的有前途的候选药物：气相色谱-质谱分析、分子对接、药代动力学及分子动力学研究
Hanane Ferrassi,Abderrahim Ait Ouchaoui,Mohammed Hakmi et al.
Hanane Ferrassi et al.
Background: Alzheimer's disease (AD) remains a significant global health challenge, with no definitive cure available. Purpose: This st...
Prediction of fast subcellular calcium signals based on label-free second harmonic generation microscopy measurements [0.03%]
基于无标记二次谐波产生显微镜测量的快速钙信号预测模型
Tihomir Georgiev
Tihomir Georgiev
Calcium (Ca2+) sparks were predicted based on the label-free second harmonic generation (SHG) signal of myosin filaments with pix2pix, a conditional adversarial network. Predicted Ca2+ sparks and ground truth Ca2+ sparks show similar proper...
Analysis of binding kinetics and mass transport in SPR-based biosensor using the Generalized Integral Transform Technique and the Markov Chain Monte Carlo Method [0.03%]
广义积分变换技术和麦尔可夫链蒙特卡罗方法在基于表面等离子共振生物传感器结合动力学和质量输运分析中的应用
Carlos Henrique Rodrigues de Moura,Carlos Adriano Moreira da Silva,Josiel Lobato Ferreira et al.
Carlos Henrique Rodrigues de Moura et al.
The present work addresses biomolecular interactions in Surface Plasmon Resonance (SPR)-based biosensors, explicitly focusing on mass transport and binding kinetics. The Generalized Integral Transform Technique (GITT) is employed to solve t...
Immunoinformatics-driven construction of a next-generation epitope-based vaccine from conserved hypothetical proteins of M. tuberculosis for enhanced TB control [0.03%]
基于免疫信息学的结核分枝杆菌假定保守蛋白表位疫苗设计及其应用价值评估
Shaista Arif,Farheen Aslam
Shaista Arif
Mycobacterium tuberculosis (Mtb) has afflicted humanity for centuries. BCG is the only vaccine available for TB, but it shows limited protective efficacy in adults. Therefore, there is an urgent need to develop universal vaccines for contro...
Leveraging few-shot learning and large language models for analyzing blood pressure variations across biological sex from scientific literature [0.03%]
利用few-shot learning和大型语言模型从科学文献中分析生物性别间的血压差异
Yuting Guo,Seyedeh Somayyeh Mousavi,Yao Ge et al.
Yuting Guo et al.
Background: Current blood pressure (BP) technologies and standards were established decades ago, and these standards are still used worldwide today, often without adjusting BP readings for individual demographic factors s...
Multiscale simulation of respiratory airflow using physiologically consistent geometry and boundary conditions in OpenFOAM [0.03%]
基于生理几何和边界条件的OpenFOAM呼吸气流多尺度模拟研究
Quoc Hung Nguyen,Sungchul Huh,Kum Ju Chae et al.
Quoc Hung Nguyen et al.
In computed tomography (CT)-based computational fluid dynamics (CFD) simulations of the human respiratory system, no or few studies have incorporated both realistic upper and lower airways, along with extensions to CT-unresolved higher-gene...
Exploring learning transferability in deep segmentation of colorectal cancer liver metastases [0.03%]
深度学习在结直肠癌肝转移病灶分割中的迁移性研究
Marwan Abbas,Bogdan Badic,Gustavo Andrade-Miranda et al.
Marwan Abbas et al.
Ensuring the seamless transfer of knowledge and models across various datasets and clinical contexts is of paramount importance in medical image segmentation. This is especially true for liver lesion segmentation which plays a key role in p...