Results 181 to 190 of about 10,167,964 (287)

An AI‐Driven Framework for Directed Self‐Assembly Toward Design‐Technology Co‐Optimization

open access: yesAdvanced Science, EarlyView.
An artificial intelligence (AI)‐driven closed‐loop framework integrates experiment, three‐dimensional physics‐based simulation, and template design for directed self‐assembly (DSA). Guided by experimental data, AI‐assisted calibration accelerates model optimization, supports morphology prediction, and identifies template windows.
Caiwei Shang   +9 more
wiley   +1 more source

An Integrated Framework Coupling Hierarchical Hyperspectral i‐trait Screening, Gene Identification, and Functional Validation for Genetic Dissection of Salt Tolerance in Cotton

open access: yesAdvanced Science, EarlyView.
An integrated phenomics–genomics framework captures dynamic salt‐stress responses in laboratory‐grown cotton seedlings through time‐series hyperspectral imaging and non‐destructive i‐trait extraction. Hierarchical screening identifies biologically relevant, heritable, and non‐redundant traits for high‐resolution GWAS, identifying GhST7.
Bowei Xu   +11 more
wiley   +1 more source

Nutritional assessment using subjective global assessment identifies energy malnutrition and predicts mortality in patients with liver cirrhosis. [PDF]

open access: yesSci Rep
Miwa T   +9 more
europepmc   +1 more source

Deep Learning for AD Risk Screening and Progression Prediction

open access: yesAdvanced Science, EarlyView.
A pretrained MRI‐based deep learning model generalizes from Western cohorts to an independent Chinese cohort, detects Alzheimer's disease with high sensitivity, and identifies elevated AD risk years before diagnosis. Its risk scores align with cognition and plasma biomarkers, and individualized brain risk maps uncover clinically distinct subtypes ...
Bin Lu   +12 more
wiley   +1 more source

Polish translation, cultural adaptation, and validity confirmation of the Scored Patient-Generated Subjective Global Assessment. [PDF]

open access: yesSupport Care Cancer
Zabłocka-Słowińska K   +8 more
europepmc   +1 more source

A CT Lesion Foundation Model for Non‐Invasive Assessment of Hepatocellular Carcinoma Aggressiveness and Prediction of Recurrence Risk

open access: yesAdvanced Science, EarlyView.
A computed tomography lesion foundation model, built by sequential self‐supervised pretraining on generic and hepatocellular carcinoma‐specific lesion images, non‐invasively assesses microvascular invasion and pathological grade from contrast‐enhanced CT and stratifies postoperative recurrence risk.
Wei Xia   +9 more
wiley   +1 more source

Correction to: Polish translation, cultural adaptation, and validity confirmation of the Scored Patient-Generated Subjective Global Assessment. [PDF]

open access: yesSupport Care Cancer
Zabłocka-Słowińska K   +8 more
europepmc   +1 more source

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