Results 151 to 160 of about 2,344,066 (336)

Using ROC-curves to illustrate the use of GLM-models in environmental activity analysis [PDF]

open access: diamond, 2020
Konstantin Zakharov   +5 more
openalex   +1 more source

Rapid Arbitrary‐Shape Microscopy of Unsectioned Tissues for Precise Intraoperative Tumor Margin Assessment

open access: yesAdvanced Science, EarlyView.
This study presents a novel microscopic imaging system capable of rapid, section‐free scanning of irregular tissue surfaces, delivering high sensitivity for detecting cancer cell clusters during intraoperative tumor margin assessment. Abstract Rapid and accurate intraoperative examination of tumor margins is crucial for precise surgical treatment, yet ...
Zhicheng Shao   +17 more
wiley   +1 more source

170. ROC Curve Using Fuzzy Inference

open access: bronze, 1990
上田 傑   +4 more
openalex   +2 more sources

Multi‐Omics Reveal the Dysregulated Gut‐Joint Axis in Knee Synovitis: Data from Two Osteoarthritis Studies in China

open access: yesAdvanced Science, EarlyView.
The “gut‐joint axis” in knee synovitis is uncovered. Integrated multi‐omics studies are conducted in two independent osteoarthritis cohorts. Synovitis is characterized an increased F/B ratio, as well as alterations of 3‐HIA, geranic acid, and TWEAK. Upregulated TWEAK receptor is found in high‐grade synovitis, and inversely correlated with lower TWEAK ...
Xiaoshuai Wang   +22 more
wiley   +1 more source

Implementation of a net benefit parameter in ROC curve decision thresholds for AI-powered mammography screening. [PDF]

open access: yesFront Big Data
Pamova AP   +5 more
europepmc   +1 more source

ROC curve of the models on the Framingham dataset.

open access: green
Md. Merajul Islam (12646837)   +4 more
openalex   +1 more source

CLinNET: An Interpretable and Uncertainty‐Aware Deep Learning Framework for Multi‐Modal Clinical Genomics

open access: yesAdvanced Science, EarlyView.
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi   +5 more
wiley   +1 more source

Proteogenomic Characterization Reveals Subtype‐Specific Therapeutic Potential for HER2‐Low Breast Cancer

open access: yesAdvanced Science, EarlyView.
Multiomic profiling of HER2‐low breast cancer identifies three proteomic subtypes with distinct therapeutic strategies: endocrine, antiangiogenic, and anti‐HER2 therapies. Genomic and lactate modification landscapes are detailed, providing insights for precise management.
Shouping Xu   +20 more
wiley   +1 more source

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