3 papers
cs.LG2026
Interpretable EEG biomarkers with bag-of-waves: Spatial and temporal waveform dictionaries for low-data regimes
Athanasios Papastathopoulos-Katsaros, Steven T. Lee, Lin Yao +4
Electroencephalography (EEG) is widely used to diagnose neurological conditions, but its analysis usually relies on either predefined spectral features or deep neural networks. Pre…
cs.LG2026
TEDDY: A Pediatric Foundation Model for Risk Forewarning from ICD-Coded Diagnostic Histories
Matthew Brady Neeley, Jorge Botas, Johnathan Jia +5
The paper introduces TEDDY, a compact transformer model that learns from pediatric ICD-10 diagnosis histories to predict disease onset and visit timing up to years in advance.
q-bio.GN2026
RareCollab: an LLM-powered framework for multimodal reasoning in Mendelian disease diagnosis
Guantong Qi, Jiasheng Wang, Mei Ling Chong +15
Rare disease diagnosis increasingly relies on integrating genomic, phenotypic and transcriptomic evidence, yet these signals remain difficult to reconcile within a common interpret…