Results 71 to 80 of about 215,880 (264)

Hip Morphology–Based Osteoarthritis Risk Prediction Models: Development and External Validation Using Individual Participant Data From the World COACH Consortium

open access: yesArthritis Care &Research, EarlyView.
Objective This study aims to develop hip morphology‐based radiographic hip osteoarthritis (RHOA) risk prediction models and investigates the added predictive value of hip morphology measurements and the generalizability to different populations. Methods We combined data from nine prospective cohort studies participating in the Worldwide Collaboration ...
Myrthe A. van den Berg   +26 more
wiley   +1 more source

Formal and informal social care in people with Rheumatic and Musculoskeletal diseases: a cross‐sectional multicentre survey

open access: yesArthritis Care &Research, Accepted Article.
Introduction Rheumatic and musculoskeletal diseases(RMDs) are leading causes of physical disability, necessitating support with activities of daily living(ADLs). This study describes social care received by patients with RMDs in two disperate regions of England: Salford(urban) and Norfolk(rural).
Mehreen Somro   +6 more
wiley   +1 more source

Trajectories of Physical Function in Canadian Children with Juvenile Idiopathic Arthritis

open access: yesArthritis Care &Research, Accepted Article.
Objectives We describe trajectories of physical function in children newly diagnosed with juvenile idiopathic arthritis (JIA) and identify trajectories with persisting functional impairments and associated baseline characteristics. Methods We included patients enrolled in the Canadian Alliance of Pediatric Rheumatology Investigators (CAPRI) Registry ...
Clare Cunningham   +14 more
wiley   +1 more source

Tumor location may affect the clinicopathological features and prognosis of thymomas

open access: yesThoracic Cancer, 2019
Background The current staging systems do not consider the tumor location of thymomas, and its clinical relevance is poorly understood. This study aimed to evaluate the impact of tumor location on the clinicopathological features and prognosis of ...
Dong Tian   +5 more
doaj   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

Predicting Atomic Charges in MOFs by Topological Charge Equilibration

open access: yesAdvanced Functional Materials, EarlyView.
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi   +2 more
wiley   +1 more source

Stein-James Estimators of a Multivariate Location Parameter

open access: yesThe Annals of Mathematical Statistics, 1972
Bounds on the risks, under squared error loss, of a family of estimators of a multivariate location parameter are given for both fixed and random unknown location parameters when the covariance matrix of the observed random variable is unknown. The class of estimators considered in this paper contains Cogburn's [2].
openaire   +3 more sources

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

open access: yesAdvanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy   +3 more
wiley   +1 more source

Mapping Nanoscale Protein‐Corona Kinetics of DoE‐Optimized Perfluorocarbon Encapsulated‐PLGA Nanoparticles by In Situ, Time‐Resolved Synchrotron SAXS

open access: yesAdvanced Healthcare Materials, EarlyView.
A two‐phase workflow (OFAT screening followed by central composite design) maps how processing variables tune PFCE‐PLGA nanoparticle size, dispersity, surface charge, loading, and 19F‐MRI signal. In situ, time‐resolved synchrotron SAXS tracks albumin‐corona growth on intact dispersions and reveals PFCE‐dependent adsorption pathways.
Joice Maria Joseph   +11 more
wiley   +1 more source

Analysis of Prognostic Factors of World Health Organization Grade Ⅲ Meningiomas

open access: yesFrontiers in Oncology, 2020
ObjectiveWHO grade III meningiomas are highly aggressive and lethal. However, there is a paucity of clinical information because of a low incidence rate, and little is known for prognostic factors.
Weidong Tian   +7 more
doaj   +1 more source

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