Clinical prognosis requires integrating structured measurements, physiological waveforms, longitudinal history, and population context. We introduce PRISM (Population-Retrieved Inference for Structured Multimodal Prognosis), a multimodal language model that combines per-feature numerical tokenization, recency-weighted...
Hamza Shafiq, Jia-Lu Tang, Ting Dang et al.· 0 citations
Heterogeneous cardiac signals can mutually supervise a single foundation model of cardiac physiology using a physiology-aware joint-embedding predictive architecture built on a physiology-aware joint-embedding predictive architecture.
Hamza Shafiq, Hung Manh Pham, Bin Zhu et al.· 3 citations· ⚡1
This work proposes a framework that aligns self-supervised respiratory encoders with medical terminology in a shared latent space turning them into a zero-shot-capable foundation model, and uses a medical LLM to synthesize structured reports from metadata, creating dense semantic anchors for contrastive learning.
Mustafa Talha İlerisoy, Hung Manh Pham, Mathias Funk et al.· 0 citations
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