Results 181 to 190 of about 468,837 (273)

Refining the Concept of Disease Stability in Chronic Obstructive Pulmonary Disease: Bridging Complexity and Clinical Practice. [PDF]

Am J Respir Crit Care Med
Hsiao YH, Chen YF.
europepmc   +1 more source

Conjugated Polymer Composite Flexible Wood Hydrogel‐Mediated Sequential NIR‐II Photothermal and Photodynamic Anti‐Bacteria and Macrophage Polarization for Acute Sinusitis

Aggregate, EarlyView.
This study developed a D–A–D–A conjugated polymer with NIR‐II absorption for phototherapy. The conjugated polymer nanoparticles were functionalized with hemin and embedded in a wood‐based hydrogel (LM@P/S@CP@Hemin). In MRSA‐infected rabbit sinusitis models, the NIR‐II laser treatment showed outstanding antibacterial effect, reduced inflammation, and ...
Lei He, Xiaofeng Ma, Yongze Liu, Genyuan Li, Juqing Cui, Jun Zhang, Yuanyuan Li, Ben Zhong Tang, Wentao Wang   +8 more
wiley   +1 more source

Impact of asthma and/or chronic obstructive pulmonary disease on the survival of patients with lung adenocarcinoma. [PDF]

Ther Adv Med Oncol
Hsu LH, Lin YH, Feng AC, Chu NM, Kao SH.
europepmc   +1 more source

Mepolizumab for Eosinophilic Chronic Obstructive Pulmonary Disease

New England Journal of Medicine, 2017
I. Pavord, P. Chanez, G. Criner, H. Kerstjens, Stephanie Korn, N. Lugogo, J. Martinot, H. Sagara, F. Albers, E. Bradford, S. Harris, B. Mayer, D. Rubin, S. Yancey, F. Sciurba   +14 more
semanticscholar   +1 more source

Identification of Exhaled Volatile Organic Compounds Biomarkers for Lung Cancer Under Data‐Limited Conditions Using Data Augmentation and Multi‐View Feature Selection

Advanced Intelligent Discovery, EarlyView.
This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren, Bohao Liu, Zhiyuan Qu, Xue Jiang, Heng Zhao, Danyao Qu, Ruizhi Ning, Chen Su, Taoping Liu, Guangjian Zhang, Weiwei Wu   +10 more
wiley   +1 more source

A Magnetically Transformable Twisting Millirobot for Cargo Delivery at Low Reynolds Number

Advanced Intelligent Systems, EarlyView.
Herein, a soft millirobot, TwistBot, that transforms from a flat shape to a helical shape to propel in fluids at low Reynolds number is reported. Its geometry is optimized by numerical simulation and validated by experiments to effectively propel and deliver solid cargos.
Moonkwang Jeong, Jiyuan Tian, Meng Zhang, Tian Qiu   +3 more
wiley   +1 more source

Relationship between exacerbation frequency and lung function decline in chronic obstructive pulmonary disease

Thorax, 2002
G. Donaldson, T. Seemungal, A. Bhowmik, J. Wedzicha   +3 more
semanticscholar   +1 more source

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

The use of the MoCA in cognitive impairment for older patients with Chronic Obstructive Pulmonary disease: A preliminary study. [PDF]

Sci Prog
Verduri A, O'Neill M, Ghinassi F, Guidotti F, Simeone MS, Ruggieri V, Clini E, Hewitt J.   +7 more
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