Results 311 to 320 of about 33,284,612 (360)

Beyond digital twins: the role of foundation models in enhancing the interpretability of multiomics modalities in precision medicine

FEBS Open Bio, EarlyView.
This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi, Xin Gao, Takashi Gojobori   +2 more
wiley   +1 more source

Bio-Signal-Guided Robot Adaptive Stiffness Learning via Human-Teleoperated Demonstrations. [PDF]

Biomimetics (Basel)
Xia W, Liao Z, Lu Z, Yao L.
europepmc   +1 more source

The Imperative for Hazard- and Place-Specific Assessment of Heat Vulnerability. [PDF]

Environ Health Perspect
Karanja J, Vanos J, Georgescu M, Frazier AE, Hondula D.   +4 more
europepmc   +1 more source

Editorial: Forward and inverse solvers in multi-modal electric and magnetic brain imaging: theory, implementation, and application. [PDF]

Front Hum Neurosci
Medani T, Pursiainen S, Piastra MC, Vorwerk J, Leahy RM.   +4 more
europepmc   +1 more source

Leveraging In Silico and Artificial Intelligence Models to Advance Drug Disposition and Response Predictions Across the Lifespan. [PDF]

Clin Transl Sci
Yang K, Gonzalez D, Woodhead JL, Bhargava P, Ramanathan M.   +4 more
europepmc   +1 more source

Understanding Gender-Specific Daily Care Preferences: Topic Modeling Study.

J Med Internet Res
Woo K, Min SH, Kim A, Choi S, Alexander GL, O'Malley T, Moen MD, Topaz M.   +7 more
europepmc   +1 more source

Predicting the Current and Future Habitat Distribution for an Important Fruit Pest, <i>Grapholita dimorpha</i> Komai (Lepidoptera: Tortricidae), Using an Optimized MaxEnt Model. [PDF]

Insects
Huang L, Zuo S, Huo Y, Hu L, Wang Z, Zhang J, Liu J, Ding W, Ma K, Yang M.   +9 more
europepmc   +1 more source

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Review of Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook

Structural Equation Modeling: A Multidisciplinary Journal, 2022
Partial Least Squares Structural Equation Modeling (PLSSEM) Using R: A Workbook (Hair et al., 2021) is a workbook based on the textbook: A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), (Hair et al., 2017).
Ejike Edeh, Wen‐Juo Lo, Jam Khojasteh
semanticscholar   +1 more source

Structural Equation Modeling

Encyclopedia of Personality and Individual Differences, 2019
The chapters demonstrate two SEM programs with distinct user interfaces and capabilities (Amos and Mplus) with enough specificity that readers can conduct their own analyses without consulting additional resources.
C. Singh, J. S. Khamba
semanticscholar   +1 more source