Results 201 to 210 of about 30,338 (335)

Operational data for fault prognosis in particle accelerators with machine learning. [PDF]

open access: yesData Brief, 2023
Radaideh MI   +3 more
europepmc   +1 more source

Functional and Clinical: An Explainable Deep Learning Model for Multimodal Alzheimer's Disease Classification

open access: yesBrain and Behavior, Volume 16, Issue 2, February 2026.
A multimodal Alzheimer's classification pipeline that combines clinical tests with fMRI networks to output individual‐level predictions and variable importance metrics. ABSTRACT Purpose Functional magnetic resonance imaging (fMRI) and deep learning models can classify Alzheimer's disease (AD) with high accuracy.
Samuel L. Warren, Ahmed A. Moustafa
wiley   +1 more source

Uncovering the Key Factors Influencing Phytochemical and Phytopharmacological Properties During Medicinal Plant Processing

open access: yeseFood, Volume 7, Issue 1, February 2026.
From farm to pharma, this review details the engineering of quality in medicinal plants through a science‐driven approach: it first elucidates how genetic and environmental factors inscribe the plant's phytochemical and phytopharmacological profile before harvest, and then dissects the postharvest techniques and technologies—chemical and thermal pre ...
Elyas Aryakia
wiley   +1 more source

Investigating the Utility of Explainable Artificial Intelligence for Neuroimaging‐Based Dementia Diagnosis and Prognosis

open access: yesHuman Brain Mapping, Volume 47, Issue 2, February 1, 2026.
Artificial intelligence has the potential to enhance clinical decision making, but complex black box models can be difficult to interpret and trust. Explainable artificial intelligence methods aim to open the black box by highlighting which features are driving the model's prediction.
Sophie A. Martin   +7 more
wiley   +1 more source

Contrast‐Enhanced Computed Tomography for Structural and Functional Evaluation of Ligament Microdamage

open access: yesJournal of Orthopaedic Research, Volume 44, Issue 2, February 2026.
ABSTRACT Detecting microstructural damage in ligaments remains a challenging case when no visible tearing occurs. This study introduces a novel application of micro‐CT for ligament evaluation in wet tissue state with potential for clinical translation. We utilize neutral iodixanol and cationic tantalum oxide nanoparticles (Ta₂O₅‐cNPs) for quantitative ...
Afifah H. Tsurayya   +9 more
wiley   +1 more source

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