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
Diffusion-Based Generation and Imputation of Driving Scenarios from Limited Vehicle CAN Data [PDF]
Julian Ripper +4 more
openalex +1 more source
Advanced Science, EarlyView.PA accumulates after hypoxic‐ischemic injury and stabilizes the E3 ligase TRIM59 in OPCs. Stabilized TRIM59 enhances ubiquitination and degradation of Olig2, blocking differentiation and causing hypomyelination in PWMI. Modulating PA synthesis restores Olig2 levels, improves myelination, and ameliorates behavioral deficits, defining a metabolically ...
Xinyu Li +8 more
wiley +1 more source
Machine learning prediction of metabolic-associated fatty liver disease in type 2 diabetes: Emphasizing data imputation and feature selection. [PDF]
PLoS OneKhosravi Z +4 more
europepmc +1 more source
A Hybrid Missing Data Imputation Method for Batch Process Monitoring Dataset. [PDF]
Sensors (Basel), 2023 Gan Q, Gong L, Hu D, Jiang Y, Ding X.
europepmc +1 more source
Rapid Proteome‐Wide Discovery of Protein–Protein Interactions With ppIRIS
Advanced Science, EarlyView.ppIRIS is a lightweight deep learning framework for proteome‐wide protein–protein interaction prediction directly from sequence. By fusing evolutionary and structural embeddings with a regularized Siamese architecture, ppIRIS achieves state‐of‐the‐art accuracy across species, enables minute‐scale screening, and reveals biologically validated bacterial ...
Luiz Felipe Piochi +4 more
wiley +1 more source
HMLA: A hybrid machine learning approach for enhancing stroke prediction models with missing data imputation techniques. [PDF]
Sci RepSingh MS +3 more
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Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Missing data imputation of climate time series: A review. [PDF]
MethodsXAlejo-Sanchez LE +7 more
europepmc +1 more source