Results 161 to 170 of about 1,626,632 (298)

Full‐Field Damage Monitoring in Architected Lattices Using In situ Electrical Impedance Tomography

Advanced Functional Materials, EarlyView.
In situ electrical impedance tomography (EIT) turns 3D‐printed, CNT‐infused architected lattices into full‐field damage‐imaging systems. Tunable Voronoi‐based geometries act as active sensing architectures, enabling conductivity maps to detect early‐stage damage and localise sequential ligament fracture before catastrophic failure.
Akash Deep, Andrea Samore, Alistair McEwan, Andrew McBride, Shanmugam Kumar   +4 more
wiley   +1 more source

Validation of Fully Automatic Quantitative Software for Finger Joint Space Narrowing Progression for Rheumatoid Arthritis Patients. [PDF]

J Digit Imaging, 2020
Narisawa C, Sutherland K, Lu Y, Furusaki A, Sagawa A, Kamishima T.   +5 more
europepmc   +1 more source

XTRUDE: A Process‐Informed Framework for High‐Fidelity Analysis of Hydrogel Extrusion

Advanced Functional Materials, EarlyView.
Extrusion performance emerges from the interplay between material properties and processing conditions. XTRUDE (eXTrusion Rheology for Understanding and Defining Extrudability) recreates the extrusion environment with in situ pressure and temperature sensing, enabling characteristic pressure signatures to quantify extrusion‐specific phenomena and ...
Farhad Sanaei, Pascal Bertsch, Juliette Lafosse, Sander C. G. Leeuwenburgh, Mani Diba   +4 more
wiley   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

Advanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Generalization of finger-joint kinematics for cleaning tasks. [PDF]

Front Robot AI
Pham C, Tauscher JP, Groth C, Steil JJ.
europepmc   +1 more source

Chicken proximal interphalangeal joint as an animal model for human finger joint prosthesis evaluation. [PDF]

J Orthop, 2020
Lui YF, Ip WY, Shad M, Chan HY.
europepmc   +1 more source

Dynamic Loading Regulates Meniscus‐Like Matrix Production in Human Mesenchymal Stromal Cell‐Seeded PET Scaffolds

Advanced Healthcare Materials, EarlyView.
Dynamic compression enhances mesenchymal stromal cell proliferation in nonwoven PET scaffolds under chondrogenic differentiation conditions and triggers mechanosensitive transcriptional programs associated with extracellular matrix remodeling. These findings highlight the potential of mechanically stimulated PET scaffolds as a promising platform for ...
Graciosa Quelhas Teixeira, Luisa de Roy, Anna‐Lotta Feldmeier, Mubashir Ahmad, Sofia Pilão, Maria Ahrens, Anita Ignatius, Carsten Linti, Andreas Martin Seitz   +8 more
wiley   +1 more source

Radiograph-Based Deep Learning Model to Support Finger Joint Selection for Ultrasound Examination in Rheumatoid Arthritis. [PDF]

Diagnostics (Basel)
Park Y, Chun KS, Lee S, Jung JY, Lee S, Park H, Le TD, Choi H, Kim WU.   +8 more
europepmc   +1 more source

Chemical Strategies for Multistimuli Responsive Dynamic Covalent Materials in Regenerative Medicine

Advanced Healthcare Materials, EarlyView.
Multistimuli responsive dynamic covalent materials integrate reversible chemistry with the complex chemical, mechanical, and biochemical cues of regenerative environments. This review highlights chemical strategies based on orthogonal dynamic bonds, multicomponent networks, and hierarchical architectures to regulate mechanics, degradation, and ...
Saurabh Joshi, Matthew B. Baker, Dominik Schauenburg   +2 more
wiley   +1 more source

Ultrasound evaluation of finger joint cartilage damage progression in patients with rheumatoid arthritis. [PDF]

Ther Adv Musculoskelet Dis
Ogura T, Imaizumi C, Hirata A, Minegishi Y, Ito H, Takenaka S, Katagiri T, Takakura Y, Maezawa R, Kameda H.   +9 more
europepmc   +1 more source