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NOAH model learns full patient journey with multimodal time-aware forecasting

By PulseAugur Editorial · [3 sources] ·

Researchers have developed NOAH, a generative transformer model designed to represent and forecast the complete multimodal patient journey. This model addresses the limitations of current AI in handling the complex temporal dynamics and varied data types found in longitudinal patient records. NOAH processes diverse data including medical images, time-series signals, categorical events, and clinical notes, utilizing a novel bidirectional time integration and a variational latent space to capture continuous patient state evolution and stochasticity. AI

IMPACT This model could advance personalized clinical care and digital medicine by enabling more accurate patient state prediction and intervention simulation.

RANK_REASON The cluster describes a new research paper detailing a novel AI model for healthcare.

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NOAH model learns full patient journey with multimodal time-aware forecasting

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COVERAGE [3]

  1. arXiv cs.AI TIER_1 English(EN) · Tobias Susetzky, Raphael Rehms, Dmitrii Seletkov, \"Ozg\"un Turgut, Michelle Espranita Liman, Lisa Steinhelfer, Rickmer Braren, Daniel Rueckert ·

    NOAH: Learning the Full Patient Journey. A Longitudinal Multimodal Time-Aware Model for Representation and Forecasting

    arXiv:2609.09140v1 Announce Type: cross Abstract: The digitization of healthcare has generated vast, longitudinal, and multimodal patient records over a lifetime, yet fully exploiting these data to represent and predict patient state trajectories remains a critical challenge. Cur…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    NOAH: Learning the Full Patient Journey. A Longitudinal Multimodal Time-Aware Model for Representation and Forecasting

    The digitization of healthcare has generated vast, longitudinal, and multimodal patient records over a lifetime, yet fully exploiting these data to represent and predict patient state trajectories remains a critical challenge. Current AI models often struggle to capture the compl…

  3. Hugging Face Daily Papers TIER_1 English(EN) ·

    NOAH: Learning the Full Patient Journey. A Longitudinal Multimodal Time-Aware Model for Representation and Forecasting

    NOAH is a generative transformer that models full multimodal patient journeys with continuous time dynamics and stochastic latent states, enabling forecasting, zero-shot classification, and counterfactual simulation across diverse clinical data.

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