Results 161 to 170 of about 198,570 (292)
[Cost-effectiveness analysis of ocriplasmin in the treatment of vitreomacular traction in Italy]
Lucia Sara D’Angiolella +4 more
openalex +2 more sources
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
A digitally designed and 3D-printed customized device for the three-dimensional traction of complex maxillary impacted canines: case reports. [PDF]
Yu Y +6 more
europepmc +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Endoclip and snare combined traction and resection for treating gastric submucosal tumor with extraluminal growth. [PDF]
Xu J, Zhang Z, Lü M, Tang X.
europepmc +1 more source
"Aikido foot"--a traction injury to the common peroneal nerve. [PDF]
A. Ross Naylor, M. Walsh
openalex +1 more source
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
Long-term stability of reducing cervical kyphosis via Chiropractic Biophysics<sup>®</sup> extension traction procedures: a case series. [PDF]
Norton TC +3 more
europepmc +1 more source
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source

