Results 131 to 140 of about 170,018 (311)

Quantitative MRI Evaluation of Coracohumeral Ligament and Inferior Glenohumeral Capsule Thickening in Adhesive Capsulitis: Correlation with Range of Motion and Edema Patterns

Eurasian Journal of Medicine
Background: Adhesive capsulitis involves capsular fibrosis and restricted shoulder movements, particularly external rotation and abduction. Magnetic resonance imaging (MRI) enables assessment of capsular and ligamentous thickening.
Seda Soğukpınar Karaağaç, Nevzat Yeşilmen   +1 more
doaj   +1 more source

Numerical methods for determining local motions of human knee joint [PDF]

, 2008
The Biomechanical Team of the Szent István University has been carrying on a comprehensive project of the human knee joint. The conception is oriented to the local motions and the phenomenon (and its influence) of wear.
Csizmadia, Béla, Fekete, Gusztáv
core   +1 more source

Chronic Disease Monitoring Using Advanced Compliant Materials for Bioelectronics

Advanced Electronic Materials, EarlyView.
Compliant bioelectronic systems enable continuous monitoring of chronic disease through soft, stretchable materials and tissue‐conformal designs that support stable electrophysiological, mechanical, and biochemical sensing. Integration of diverse sensing modalities with thoughtful material selection, device architectures, and advanced fabrication ...
Han Kim, Mabel Bartlett, Liyang Wang, Karl Bates, Mengdi He, Myungbo Kim, Carmel Majidi, Tzahi Cohen‐Karni   +7 more
wiley   +1 more source

Functional Advantage of Central Pancreatectomy Over Distal Pancreatectomy for Benign or Low‐Grade Malignant Tumors: A Comparative Analysis Based on 75‐g Oral Glucose Tolerance Test

Annals of Gastroenterological Surgery, EarlyView.
Central pancreatectomy (CP) better preserves postoperative pancreatic endocrine function than distal pancreatectomy for benign or low‐grade malignant tumors. The 75‐g oral glucose tolerance test demonstrated that CP maintained insulin secretion and glucose tolerance, highlighting its clinical advantage as a function‐preserving procedure.
Dongha Lee, Keiko Kamei, Chihoko Nobori, Yuta Yoshida, Takaaki Murase, Atsushi Takebe, Yuki Okuda, Naru Babaya, Yoshihisa Hiromine, Ippei Matsumoto   +9 more
wiley   +1 more source

MORPHOLOGICAL ANALYSIS OF AGE DYNAMICS OF BIOMECHANICAL PROPERTIES OF KNEE LIGAMENTS OF THE KNEE JOINT IN HUMAN FETUSES

Сеченовский вестник, 2017
A study of the structure and biomechanical properties of knee joint ligaments in 200 fetus corpses at the age of 12 to 38 weeks of intrauterine development was conducted.
A. E. Strizhkov
doaj  

Emergency Cholecystectomy in Patients Classified as High Risk According to the Tokyo Guidelines 2018: A Real‐World Analysis

Annals of Gastroenterological Surgery, EarlyView.
Emergency cholecystectomy was evaluated in patients with acute cholecystitis classified as non‐recommended for surgery by the Tokyo Guidelines 2018. Major postoperative complications, rather than mortality, better reflected operative risk. Physiological instability, particularly ASA‐PS ≥ 3 and shock status, identified high‐risk patients, suggesting ...
Satoshi Mii, So Yamaki, Daisuke Hashimoto, Kazuki Matsumura, Hiroyuki Ishida, Hidetaka Miyazaki, Yuki Matsui, Yuji Ikeda, Tsukasa Ikeura, Sohei Satoi   +9 more
wiley   +1 more source

Manual therapy of the mandibular accessory ligaments for the management of temporomandibular joint disorders [PDF]

, 2011
Temporomandibular joint disorders are characterized by chronic or acute musculoskeletal or myofascial pain with dysfunction of the masticatory system.
CARADONNA, Carola, CARADONNA, Domenico, CUCCIA, Antonino Marco   +2 more
core  

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
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, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source