Results 231 to 240 of about 541,960 (339)

AI‐Driven Microphysiological Systems for Advancing Nanoparticle Therapeutics

Advanced Intelligent Systems, EarlyView.
This review outlines recent advances in integrating artificial intelligence with microphysiological systems for nanoparticle evaluation. It highlights data‐driven optimization, image‐based prediction, and AI‐enabled analysis frameworks that advance translational research and support the development of personalized nanomedicine. Nanoparticles (NPs) play
Yedam Lee, Jaehong Min, Sujin Kim, Jihoon Ko   +3 more
wiley   +1 more source

Mepolizumab in Chronic Obstructive Pulmonary Disease (COPD): A new frontier in biologic therapy. [PDF]

Saudi J Anaesth
Mukesh A, Chittoria K, Sharma A.
europepmc   +1 more source

R‐APEX: A Knowledge Graph–Based Platform for the Elucidation of the Toxicological Mechanisms of Ambient Particulate Matter

Advanced Intelligent Systems, EarlyView.
R‐APEX is a knowledge graph platform developed to investigate how air pollutants such as particularly fine particulate matter (PM2.5) affect human health. By integrating large‐scale biomedical data and using machine learning, it reveals pollutant–gene–disease associations.
Zhixing Zhu, Jingcheng Yang, Xiaofei Li, Zhijie Zheng, Georgi Z. Genchev, Yuchen Ye, Liang Liu, Zihan Ran   +7 more
wiley   +1 more source

Hierarchical Superposition Framework Reveals the Complex Effects of Natural Medicine Formulas

Advanced Intelligent Systems, EarlyView.
A novel hierarchical superposition pharmacological model incorporates the principle of hierarchical structures from physics to simulate the spatiotemporal dynamics of drug combinations, to elucidate the universal law underlying drug combination effects. By modeling cross‐level causal transmission and attenuation, it advances beyond traditional additive
Weifeng Liang, Dingsi Xiang, Shengli Mi, Jiajun Huang   +3 more
wiley   +1 more source

Optimized DeepLabV3+ for Clinical Data Analysis through Advanced Particle Swarm Optimization‐Based Channel Selection

Advanced Intelligent Systems, EarlyView.
A novel medical image segmentation framework that integrates an enhanced Particle Swarm Optimization (EE‐PSO) into DeepLabV3+ to optimize feature selection. By dynamically identifying key channels in the atrous spatial pyramid pooling module, the method improves segmentation performance, achieving mIoU gains of 2.7% on Alzheimer's and 2.8% on brain ...
Alireza Norouziazad, Behrouz Homam, Ariel Feygin, Mahan Najafpour Ghazvini Fardshad, Shahak Rozenblat, Abed Matinpour, Arman Laly, Fatemeh Esmaeildoost, Razieh Salahandish   +8 more
wiley   +1 more source

Limitations of Linear Dimensional Reduction Methods in Chronic Obstructive Pulmonary Disease Phenotyping. [PDF]

Am J Respir Crit Care Med
Takefuji Y.
europepmc   +1 more source

Autonomous Recognition of Retained Secretions in Central‐Airway Based on Deep Learning for Adult Patients Receiving Invasive Mechanical Ventilation

Advanced Intelligent Systems, EarlyView.
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang, Zhuoran Xiao, Meng Wang, Jianchao Li, Chunjing Tao, Jiangzhen Guo, Yubo Fan   +6 more
wiley   +1 more source

Fear of Falling in Patients with Chronic Obstructive Pulmonary Disease: Clinical Associations and Functional Impact. [PDF]

Int J Chron Obstruct Pulmon Dis
Demir Yazici S, Yazici O.
europepmc   +1 more source

Facts and Misfacts on D‐Dimer Testing. Consensus Guidance From the Italian Society on Thrombosis and Hemostasis (SISET)

American Journal of Hematology, EarlyView.
ABSTRACT D‐dimer defines degradation products derived from the proteolysis mediated by plasmin on cross‐linked fibrin. The evidence‐based use of D‐dimer in some conditions has been consolidated. Currently, however, there is an entrenched prescription of D‐dimer testing to screen otherwise healthy subjects that may induce prescribing physicians to start
Armando Tripodi, Walter Ageno, Luca Barcella, Antonio Coppola, Marcello Di Nisio, Massimo Franchini, Monia Marchetti, Rossella Marcucci, Marco Marietta, Pasquale Pignatelli, Domenico Prisco, Valerio De Stefano   +11 more
wiley   +1 more source