1 citations · 1 across the 4 of their papers we have counts for
4 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…
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…
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.…
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…