Results 161 to 170 of about 28,374 (231)

Deep Learning Reconstruction Enables Diagnostic‐Quality 0.4T Knee and Spine MRI in One‐Third of the Time

open access: yesNMR in Biomedicine, Volume 39, Issue 5, May 2026.
The deep learning model CIRIM successfully accelerated knee and spine data up to an acceleration factor of 3, after optimizing the undersampling mask and loss function. The model demonstrated robustness and generalizability to different contrasts, matrix sizes, orientations, and anatomies. ABSTRACT There has been a growing interest in low‐field MRI due
Daisy M. van den Berg   +9 more
wiley   +1 more source

Metabolomic Insights Into Saliva as a Non‐Invasive Surrogate for Serum to Enable Community‐Based Biomarker Investigation

open access: yesThe Prostate, Volume 86, Issue 7, Page 771-783, May 15, 2026.
ABSTRACT Introduction Using serum metabolomics in Community‐Based Participatory Research (CBPR) with underserved populations presents challenges due to the invasive nature of venipuncture, which limits longitudinal sample collection in community settings. In this pilot study, we compared saliva and serum metabolomics in patients with prostate cancer to
Alireza Abdshah   +13 more
wiley   +1 more source

The Transboundary Reach of the Columbia River: Cottonwood Colonization Followed Flow Moderation From the Columbia River Treaty Dams

open access: yesRiver Research and Applications, Volume 42, Issue 4, Page 837-850, May 2026.
ABSTRACT The Columbia river provides the largest Pacific outflow in the Western Hemisphere and the greatest hydropower production of any North American river system. For hydropower generation and flood risk management, four massive water storage reservoirs followed the Columbia River Treaty between Canada and the United States, with three Canadian dams,
Colleen A. Phelan   +2 more
wiley   +1 more source

Improving Power of the Win Ratio Analysis through Distance‐based Weights

open access: yesStatistics in Medicine, Volume 45, Issue 10-12, May 2026.
ABSTRACT The win ratio method, used to analyze composite endpoints in clinical trials, has gained substantial popularity in recent years because of its ability to prioritize components of the composite outcome. Despite gaining popularity and being extended to solve some of its issues, little work has been done to incorporate covariate information into ...
Md Rejuan Haque   +4 more
wiley   +1 more source

Predicting Win‐Loss Probabilities for Composite Time‐to‐Event Outcomes Under The Proportional Win‐Fractions Regression Model

open access: yesStatistics in Medicine, Volume 45, Issue 10-12, May 2026.
ABSTRACT For composite time‐to‐event outcomes, the win ratio as a relative measure ignores ties resulting from non‐occurrence of events, which can obscure important context in regression settings where event rates—and hence the proportion of ties—vary over time and across covariate values.
Lu Mao
wiley   +1 more source

Breast Cancer-Associated Adipose Tissue Histologic Subtypes: Microscopic Characterization and Their Impact on Prognosis and Survival, Depending on Age. [PDF]

open access: yesCancers (Basel)
Pasca Fenesan MM   +12 more
europepmc   +1 more source

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