2 citations · 4 across the 7 of their papers we have counts for
7 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…
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…
Explainable Biomedical Hypothesis Generation via Retrieval Augmented Generation enabled Large Language Models
Alexander R. Pelletier, Joseph Ramirez, Irsyad Adam +6
The vast amount of biomedical information available today presents a significant challenge for investigators seeking to digest, process, and understand these findings effectively.…
CliBench: A Multifaceted and Multigranular Evaluation of Large Language Models for Clinical Decision Making
Mingyu Derek Ma, Chenchen Ye, Yu Yan +4
The integration of Artificial Intelligence (AI), especially Large Language Models (LLMs), into the clinical diagnosis process offers significant potential to improve the efficiency…
Know2BIO: A Comprehensive Dual-View Benchmark for Evolving Biomedical Knowledge Graphs
Yijia Xiao, Dylan Steinecke, Alexander Russell Pelletier +3
Knowledge graphs (KGs) have emerged as a powerful framework for representing and integrating complex biomedical information. However, assembling KGs from diverse sources remains a…