Towards verifiable cancer digital twins: tissue level modeling protocol for precision medicine
Cancer exhibits substantial heterogeneity, manifesting as distinct morphological and
molecular variations across tumors, which frequently undermines the efficacy of …
molecular variations across tumors, which frequently undermines the efficacy of …
[HTML][HTML] Navigating high-dimensional process-structure–property relations in nanocrystalline Pt-Au alloys with machine learning
For decades, materials scientists have relied on the process-structure–property paradigm to
guide investigations into material behaviors. Traditional studies often examine a limited …
guide investigations into material behaviors. Traditional studies often examine a limited …
Flow-based parameterization for DAG and feature discovery in scientific multimodal data
Representation learning algorithms are often used to extract essential features from high-
dimensional datasets. These algorithms commonly assume that such features are …
dimensional datasets. These algorithms commonly assume that such features are …