AI agents in drug discovery: A review of evolution, applications, and future directions [0.03%]
药物发现中的人工智能代理：进化、应用和未来方向综述
Sarobi Das,Md Meftahul Ferdaus,Tanmoy Dam
Sarobi Das
Artificial intelligence (AI) agents represent a paradigm shift in pharmaceutical research, moving the field from narrow drug-protein affinity modeling toward systems-biology-level evaluation in which autonomous, multi-domain agents combine ...
WatchForce: Wrist-worn PPG and IMU sensing for hand force estimation [0.03%]
WatchForce：用于估计手部力的腕戴式PPG和IMU感应技术
Lingde Hu,Wenbo Zhang,Seokmin Choi et al.
Lingde Hu et al.
Background and objective: Recent advancements in extended reality have reshaped human-computer interaction; yet, force estimation remains a critical missing element for achieving realistic interactions. Unlike traditional...
A semi-supervised deep learning and IoMT framework for robust prostate cancer grading under imperfect histopathology data conditions [0.03%]
基于半监督深度学习和IoMT的前列腺癌分级框架，在病理组织学数据不完整条件下的鲁棒性研究
Imran Ahmed,Jin Zhang,Silvia Cirstea et al.
Imran Ahmed et al.
Deep learning has shown remarkable promise in histopathological cancer diagnostics; however, its performance heavily depends on the availability of large-scale, high-quality labelled data, which is often an unrealistic assumption in clinica...
Muscle synergy-driven deep learning for predicting multiphase knee joint loading in ACL-reconstructed patients [0.03%]
基于肌肉协同作用的深度学习在前交叉韧带重建患者膝关节多相负荷预测中的应用
Yi Yuan,Tianxiao Chen,Datao Xu et al.
Yi Yuan et al.
Background: Accurate estimation of knee contact force (KCF) is valuable for monitoring joint loading during rehabilitation after anterior cruciate ligament reconstruction (ACL-R). Conventional musculoskeletal simulations,...
Novel explainable transformer model for automated attention-deficit hyperactivity disorder detection with EEG signals [0.03%]
一种新型可解释的变压器模型，用于自动检测脑电图信号中的注意力缺陷多动障碍
Alexey Zavitaev,Ravinesh C Deo,Prabal D Barua et al.
Alexey Zavitaev et al.
Background: Recent developments in deep learning have increased our interest in its applications in medical fields, such as the automated detection of neurodevelopmental disorders from biological signals. Attention defici...
Medical question answering: A comprehensive multimodal and LLM-driven survey [0.03%]
医学问答：一种全面的多模态和大语言模型驱动的调查
Eya Mhedhbi,Xiang Zhu,Muhammad Ayaz et al.
Eya Mhedhbi et al.
Medical Question Answering (MQA) has emerged as a critical artificial intelligence (AI) capability for supporting clinicians, researchers, and the general public with timely and evidence-based responses to medical queries. Recent advances i...
Novel finite element fully coupled multi-species mechano-transport simulations approach of the Intervertebral Disc [0.03%]
新颖的有限元法全耦合多物种腰椎间盘力运输模拟方法
Estefano Muñoz-Moya,Carlos Ruiz Wills,Huy Hoang Nguyen et al.
Estefano Muñoz-Moya et al.
Background and objective: Intervertebral disc (IVD) degeneration (IDD) is closely linked to impaired nutrient transport within the avascular disc, critically affecting cell viability and tissue health. Finite element (FE)...
A parameter computation and optimization method in multi-directional exciting tumor treating fields [0.03%]
多方向激发肿瘤治疗场的参数计算与优化方法研究
Yuwei Zhao,Shihong Yue,Keyi Fu
Yuwei Zhao
Background and objectives: Tumor Treating Fields (TTFs) in a quasi-electrostatic field represent an emerging and effective cancer therapy owing to their non-invasive, safe, portable, and low-cost advantages. However, the ...
Assessing airway aerodynamics and aerosol delivery efficiency across morphologic variants of subglottic stenosis [0.03%]
评估形态变异型亚声门狭窄的气道气动力学和气溶胶输送效率
Nathan A Luzum,Yang U Lee,Dennis O Frank-Ito
Nathan A Luzum
Background and objective: Subglottic stenosis profoundly alters upper-airway aerodynamics and inhaled corticosteroid delivery, yet current clinical staging systems inadequately capture the functional impact of stenosis ge...
SLLD: Single-lead ECG LQTS detection framework based on knowledge distillation [0.03%]
基于知识蒸馏的单导联心电图LQTS检测框架（SLLD）
Xiaoyu Zhou,Wenming Yang,Guijin Wang et al.
Xiaoyu Zhou et al.
Background and objective: Long QT syndrome (LQTS) has received increasing attention because of its association with sudden cardiac death. Traditional LQTS diagnosis relies on standard 12-lead electrocardiograms (ECGs) in ...