Results 211 to 220 of about 1,581,096 (371)
Non‐Invasive Diagnosis of Chronic Myocardial Infarction via Composite In‐Silico‐Human Data Learning
This study presents a non‐invasive machine learning model to identify infarct regions in the left ventricle using cardiac strain data. By combining rodent‐based simulated data with limited human data, the model achieves high accuracy in predicting infarct size and location without the need for gadolinium contrast agents, offering a promising ...
Rana Raza Mehdi+7 more
wiley +1 more source
Enhanced SVM-based model for predicting cyberspace vulnerabilities: Analyzing the role of user group dynamics and capital influx. [PDF]
Long Y.
europepmc +1 more source
Rare-variant association testing for sequencing data with the sequence kernel association test.
Xu Shi
semanticscholar +1 more source
Overview of the Genetic Deafness Commons (GDC), integrating data from the Chinese Deafness Genetics Consortium (CDGC) and 51 public databases. The GDC provides tools for variant search, functional predictions, and gene‐disease visualization, offering insights into 201 hearing loss genes and facilitating novel gene discovery and clinical applications ...
Hui Cheng+11 more
wiley +1 more source
The FBA solution space kernel: introduction and illustrative examples. [PDF]
Verwoerd WS, Mao L.
europepmc +1 more source
A Scale Adaptive Kernel Correlation Filter Tracker with Feature Integration
Yang Li, Jianke Zhu
semanticscholar +1 more source
DECENT is a deep learning method that enhances noninvasive preimplantation genetic testing by accurately reconstructing embryonic copy number variations (CNVs) from cell‐free DNA in spent embryo culture media. By mitigating maternal contamination, DECENT improves diagnostic accuracy, even with high contamination levels, offering a reliable, noninvasive
Zhenyi Zhang+3 more
wiley +1 more source
Optimal bandwidth selection in stochastic regression of Bio-FET measurements. [PDF]
Melara LA+4 more
europepmc +1 more source