Results 201 to 210 of about 372,619 (295)

1965. Connectivetissue disease and rheumatoid factors in patients with renal transplants

open access: bronze, 1966
M Waller   +3 more
openalex   +1 more source

Rheumatoid factor positive plasma and humoral cytotoxicity to malignant melanoma [PDF]

open access: bronze, 1978
Jeremiah J. Twomey   +4 more
openalex   +1 more source

Granular Hydrogels as Brittle Yield Stress Fluids

open access: yesAdvanced Materials, EarlyView.
This work reports the Kamani‐Donley‐Rogers yield stress fluid model can describe granular hydrogel deformation. The model robustly captures transient rheology and self‐healing behavior for granular gels of varying composition using only six parameters. This framework provides new insight regarding the effect of material parameters on granular yielding ...
Gunnar B. Thompson   +5 more
wiley   +1 more source

Advancements in Dissolving Microneedles for Effective Transdermal Delivery in Rheumatoid Arthritis Treatment

open access: yesAdvanced Materials Interfaces, EarlyView.
Rheumatoid arthritis, a chronic inflammatory joint disease, faces limitations with conventional therapies. Dissolving microneedles (DMNs) enable biocompatible, high‐capacity transdermal drug delivery. However, skin elasticity challenges their strength, limiting drug release depth.
Wangrui Peng   +4 more
wiley   +1 more source

Nationwide study on the prevalence of rheumatoid factor and anticitrullinated peptide positivity and their contribution to rheumatoid arthritis diagnosis. [PDF]

open access: yesTurk J Med Sci
Satiş H   +12 more
europepmc   +1 more source

AI‐Enhanced Gait Analysis Insole with Self‐Powered Triboelectric Sensors for Flatfoot Condition Detection

open access: yesAdvanced Materials Technologies, Volume 10, Issue 6, March 18, 2025.
The given research presents an innovative insole‐based device employing self‐powered triboelectric nanogenerators (TENG) for flatfoot detection. By integrating TENG tactile sensors within an insole, the device converts mechanical energy from foot movements to electrical signals analyzed via machine learning, achieving an 82% accuracy rate in flatfoot ...
Moldir Issabek   +7 more
wiley   +1 more source

Home - About - Disclaimer - Privacy