Towards verifiable cancer digital twins: tissue level modeling protocol for precision medicine

S Kemkar, M Tao, A Ghosh, G Stamatakos… - Frontiers in …, 2024 - frontiersin.org
Cancer exhibits substantial heterogeneity, manifesting as distinct morphological and
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

S Desai, M Jain, SJ Addamane, DP Adams… - Materials & Design, 2024 - Elsevier
For decades, materials scientists have relied on the process-structure–property paradigm to
guide investigations into material behaviors. Traditional studies often examine a limited …

Flow-based parameterization for DAG and feature discovery in scientific multimodal data

E Walker, JA Actor, C Martinez, N Trask - Frontiers in Mechanical …, 2024 - frontiersin.org
Representation learning algorithms are often used to extract essential features from high-
dimensional datasets. These algorithms commonly assume that such features are …