1 citations · 1 across the 5 of their papers we have counts for
5 papers
CLSP-REQA: A Real-Time Quality-Aware Closed-Loop Seizure Prediction Framework with Mamba-BiLSTM and Confidence-Gated Intervention
Mufeng Chen, Qi Wu, Bingchao Huang +4
Reliable seizure prediction is a prerequisite for closed-loop neurostimulation therapy, yet existing methods rarely account for the variability in EEG signal quality encountered in…
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…
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…
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…
Advancing High Resolution Vision-Language Models in Biomedicine
Zekai Chen, Arda Pekis, Kevin Brown
Multi-modal learning has significantly advanced generative AI, especially in vision-language modeling. Innovations like GPT-4V and open-source projects such as LLaVA have enabled r…