3 papers
cs.AI2025
Building the EHR Foundation Model via Next Event Prediction
Zekai Chen, Arda Pekis, Kevin Brown
Electronic Health Records (EHRs) contain rich temporal dynamics that conventional encoding approaches fail to adequately capture. While Large Language Models (LLMs) show promise fo…
q-bio.GN2025
GenVarFormer: Predicting gene expression from long-range mutations in cancer
David Laub, Ethan Armand, Arda Pekis +6
Distinguishing the rare "driver" mutations that fuel cancer progression from the vast background of "passenger" mutations in the non-coding genome is a fundamental challenge in can…
q-bio.QM2025
Patient-specific Biomolecular Instruction Tuning
Irsyad Adam, Zekai Chen, David Laub +3
Proteomics data is essential to pathogenic understanding of a disease phenotype. In cancer, analysis of molecular signatures enables precision medicine through the identification o…