1 citations · 1 across the 1 of their papers we have counts for
3 papers
Platform for Representation and Integration of multimodal Molecular Embeddings
Erika Yilin Zheng, Yu Yan, Baradwaj Simha Sankar +8
Existing machine learning methods for molecular (e.g., gene) embeddings are restricted to specific tasks or data modalities, limiting their effectiveness within narrow domains. As…
Atherosclerosis through Hierarchical Explainable Neural Network Analysis
Irsyad Adam, Steven Swee, Erika Yilin +7
In this work, we study the problem pertaining to personalized classification of subclinical atherosclerosis by developing a hierarchical graph neural network framework to leverage…
Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundational Models
Simha Sankar Baradwaj, Destiny Gilliland, Jack Rincon +9
Foundational Models (FMs) are gaining increasing attention in the biomedical AI ecosystem due to their ability to represent and contextualize multimodal biomedical data. These capa…