Results 201 to 210 of about 1,449,708 (342)

Safety profile comparison of intra‐articular corticosteroids, hyaluronic acid, platelet‐rich plasma, and cell‐based injections for knee osteoarthritis: A systematic review and meta‐analysis by the ESSKA Orthobiologics Initiative

open access: yesKnee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose The aim was to compare the safety profiles of corticosteroids (CS), hyaluronic acid (HA), blood‐derived products based on platelet concentrates (for simplicity indicated as PRP ‐ platelet‐rich plasma ‐ being PRP the most common product), and cell‐based therapies (namely products exploiting the therapeutic function of mesenchymal ...
Alessandro Bensa   +8 more
wiley   +1 more source

551 CHROMOSOMAL MOSAICISM IN AMNIOTIC FLUID CELL CULTURES [PDF]

open access: bronze, 1978
David Peakman   +2 more
openalex   +1 more source

Patients with previous anterior cruciate ligament reconstruction achieve equally good outcomes after total knee arthroplasty: A Swedish registry‐based study of 7755 patients

open access: yesKnee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose Patients who have undergone anterior cruciate ligament reconstruction (ACLR) may later require total knee arthroplasty (TKA) due to osteoarthritis (OA). The impact of previous ACLR on patient‐reported outcomes (PROs) after TKA remains uncertain.
Ioannis Syrikas   +3 more
wiley   +1 more source

Predicting potential Arctic kelp distribution and lower‐depth biomass from seafloor irradiance

open access: yesLimnology and Oceanography: Methods, EarlyView.
Abstract Kelps have an extensive distribution in Arctic coastal waters. However, quantifying their role in the Arctic food web and carbon cycle is challenged by the scarcity of documented geographical distribution, standing stocks and production. Here we present a framework based on an empirical function to predict the potential kelp distribution and ...
Laura Castro de la Guardia   +13 more
wiley   +1 more source

Role of High Fidelity Vs. Low Fidelity Experimental Data in Machine Learning Model Performance for Predicting Polymer Solubility

open access: yesMacromolecular Rapid Communications, EarlyView.
The performance of machine learning models for classifying polymer solubility improves when a high‐fidelity experimental dataset is used compared to a low‐fidelity experimental dataset. This has important implications for justifying the value of spending additional time and resources preparing detailed experimental datasets.
Mona Amrihesari   +3 more
wiley   +1 more source

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