Results 101 to 110 of about 161,037 (263)

Longitudinal Changes in Adiposity After a Youth Sport‐Related Knee Injury: Informing Posttraumatic Osteoarthritis Prevention

Arthritis Care &Research, EarlyView.
Objective Youth who experience a sport‐related knee injury have elevated odds of becoming overweight or developing obesity in 3 to 10 years, compounding their risk for posttraumatic osteoarthritis (PTOA). To inform prevention strategies, this study compared patterns of adiposity change between youth with a sport‐related knee injury and uninjured youth ...
Justin M. Losciale, Nuria E. J. Jansen, Christina Y. Le, Leo Lu, Hui Xie, Marienke van Middelkoop, Jackie L. Whittaker   +6 more
wiley   +1 more source

Missing data imputation, prediction, and feature selection in diagnosis of vaginal prolapse. [PDF]

BMC Med Res Methodol, 2023
Fan M, Peng X, Niu X, Cui T, He Q.
europepmc   +1 more source

Associations of Frailty with the Risk of Incident Cancer and Cancer‐related Mortality in Veterans with Rheumatoid Arthritis

Arthritis Care &Research, Accepted Article.
Objective To investigate the association between frailty and cancer incidence and mortality in patients with rheumatoid arthritis (RA). The study aimed to identify how frailty influences cancer risk, and cancer‐specific outcomes. Methods This retrospective cohort study analyzed data from the Veterans Affairs Rheumatoid Arthritis (VARA) registry (2002 ...
Bhavik Bansal, Aaron Baraff, Katherine Wysham, James S. Andrews, Bryant R. England, Ted R. Mikuls, Joshua Baker, Kaleb Michaud, Alexa Meara, Una Makris, Carolyn Presley, Ariela Orkaby, Namrata Singh   +12 more
wiley   +1 more source

Comparison of different approaches in handling missing data in longitudinal multiple-item patient-reported outcomes: a simulation study

Health and Quality of Life Outcomes
Background Patient-reported outcomes (PROs) are important clinical outcomes widely used as primary and secondary endpoints in clinical studies. However, PRO data often suffers from missing values for various reasons, which pose challenges to data ...
Minqian Yan, Lizhi Zhou, Chongye Zhao, Chen Shi, Chunquan Ou   +4 more
doaj   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Discounting of delayed rewards: Missing data imputation for the 21- and 27-item monetary choice questionnaires. [PDF]

PLoS One, 2023
Yeh YH, Tegge AN, Freitas-Lemos R, Myerson J, Green L, Bickel WK.   +5 more
europepmc   +1 more source

Modulation of miR‐23b Wnt/β‐catenin Axis Strengthens Endothelial Barrier Properties

Advanced Science, EarlyView.
Early blood‐brain barrier (BBB) disruption contributes to stroke and CNS disease pathology. miR‐23b was identified as a regulator of BBB integrity in brain endothelial cells. Inhibition of miR‐23b enhanced barrier‐associated properties, promoted repair‐related signaling, and reduced BBB leakage in experimental stroke models, supporting further ...
Victor Anthony Martinez, Rose E. Presby, Sara Nakanishi, Pallavi Gaur, Ugur Akcan, Johannes Daugaard Krog, Iben Daugaard Krog, Lipi Das, David S. Johnson, Danny Jamoul, Douglas Jury, Brian Lawson, Jacob Körbelin, Lewis M. Brown, Vilas Menon, Dritan Agalliu, Irene Munk Pedersen   +16 more
wiley   +1 more source

One Model to Synthesize Them All: Multi-Contrast Multi-Scale Transformer for Missing Data Imputation. [PDF]

IEEE Trans Med Imaging, 2023
Liu J, Pasumarthi S, Duffy B, Gong E, Datta K, Zaharchuk G.   +5 more
europepmc   +1 more source

Machine Learning‐Assisted KCl‐CaCl2‐LiCl Electrolyte Design for Low‐Temperature, High‐Performance Calcium‐Based Liquid Metal Batteries

Advanced Science, EarlyView.
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou, Lei Huang, Yan Zhou, Xiaohui Ning   +3 more
wiley   +1 more source

CFMI: Flow Matching for Missing Data Imputation

CoRR
We introduce conditional flow matching for imputation (CFMI), a new general-purpose method to impute missing data. The method combines continuous normalising flows, flow-matching, and shared conditional modelling to deal with intractabilities of traditional multiple imputation.
Simkus, Vaidotas, Gutmann, Michael U.; id_orcid 0000-0002-5329-9910   +1 more
openaire   +3 more sources