1 citations · 1 across the 3 of their papers we have counts for
3 papers
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…
Bridge2AI: Building A Cross-disciplinary Curriculum Towards AI-Enhanced Biomedical and Clinical Care
John Rincon, Alexander R. Pelletier, Destiny Gilliland +16
Objective: As AI becomes increasingly central to healthcare, there is a pressing need for bioinformatics and biomedical training systems that are personalized and adaptable. Materi…
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…