Beyond digital twins: the role of foundation models in enhancing the interpretability of multiomics modalities in precision medicine
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DOI: 10.1002/2211-5463.70003
Abstract: Medical digital twins (MDTs) are virtual representations of patients that simulate the biological, physiological, and clinical processes of individuals to enable personalized medicine. With the increasing complexity of omics data, particularly multiomics, there is a… read more here.
Keywords: digital twins; enhancing interpretability; medicine; precision medicine ... See more keywords
Decoding pulsatile patterns of cerebrospinal fluid dynamics through enhancing interpretability in machine learning
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DOI: 10.1038/s41598-024-67928-4
Abstract: Analyses of complex behaviors of Cerebrospinal Fluid (CSF) have become increasingly important in diseases diagnosis. The changes of the phase-contrast magnetic resonance imaging (PC-MRI) signal formed by the velocity of flowing CSF are represented as… read more here.
Keywords: pulsatile; pulsatile patterns; cerebrospinal fluid; machine learning ... See more keywords