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derived optimization » required optimization (Expand Search), design optimization (Expand Search), guided optimization (Expand Search)
driven optimization » design optimization (Expand Search), guided optimization (Expand Search), dose optimization (Expand Search)
binary state » binary image (Expand Search), binary data (Expand Search)
state driven » data driven (Expand Search), wave driven (Expand Search), atp driven (Expand Search)
its derived » ipsc derived (Expand Search), i derived (Expand Search), hipsc derived (Expand Search)
binary its » binary pairs (Expand Search)
derived optimization » required optimization (Expand Search), design optimization (Expand Search), guided optimization (Expand Search)
driven optimization » design optimization (Expand Search), guided optimization (Expand Search), dose optimization (Expand Search)
binary state » binary image (Expand Search), binary data (Expand Search)
state driven » data driven (Expand Search), wave driven (Expand Search), atp driven (Expand Search)
its derived » ipsc derived (Expand Search), i derived (Expand Search), hipsc derived (Expand Search)
binary its » binary pairs (Expand Search)
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Supplementary Material for: Penalized Logistic Regression Analysis for Genetic Association Studies of Binary Phenotypes
Published 2022“…We consider two approximate approaches to maximizing the marginal likelihood: (i) a Monte Carlo EM algorithm (MCEM) and (ii) a Laplace approximation (LA) to each integral, followed by derivative-free optimization of the approximation. …”
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Image 1_A multimodal AI-driven framework for cardiovascular screening and risk assessment in diverse athletic populations: innovations in sports cardiology.png
Published 2025“…CardioSpectra formulates athlete profiles as multivariate probabilistic entities across latent diagnostic states, using sparsity-aware inference to generate interpretable risk predictions while optimizing a sensitivity-specificity trade-off tailored to clinical priorities. …”