Results 171 to 180 of about 4,888,790 (252)

Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions. [PDF]

open access: yesProc SIAM Int Conf Data Min
Cui S   +5 more
europepmc   +1 more source

Natural language processing‐based emotion and usage analysis of an AI‐powered chatbot for epilepsy support

open access: yesEpilepsia Open, EarlyView.
Abstract Objective Artificial intelligence (AI)‐powered chatbots are increasingly used for patient education and mental health support, yet their effectiveness in epilepsy care remains underexplored. This study examines text‐based interactions between users and EpiloBot, an epilepsy‐focused chatbot, to understand conversational patterns and emotional ...
Keiichi Watanuki   +10 more
wiley   +1 more source

Machine Learning Modeling of Drill Cuttings Transport Based on Computational Fluid Dynamics Simulation Data

open access: yesEnergy Science &Engineering, EarlyView.
Machine learning surrogates accurately predict drill cuttings transport from computational fluid dynamics data, with Reynolds number dominating system behavior. While tree‐based models excel in accuracy, Gaussian process regression provides physically consistent, smooth predictions essential for reliable drilling simulations.
Kathrin Skinder   +3 more
wiley   +1 more source

Autonomous Nanomedicine: Closing the Biological Validation Gap

open access: yesExploration, EarlyView.
Delivery of nanoparticles to tumors has not improved in over fifteen years, and biological testing remains slow and separate from formulation design. This review proposes adding a Biology step to the design cycle, using organ chips and patient‐derived organoids, and assesses the readiness of each required technology.
Yan Jun Lin, Izabella Komperda
wiley   +1 more source

MARS‐Diff: Guarded Residual Diffusion for Leakage‐Disciplined Probabilistic Portfolio‐Loss Forecasting

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT This paper develops Masked Asset–Regime Scenario Diffusion (MARS‐Diff), a leakage‐disciplined framework for probabilistic forecasting of multiday portfolio losses. The framework combines a regularized heterogeneous autoregressive model with exogenous predictors (HAR‐X) as its anchor, a train‐only masked representation of a high‐dimensional ...
Çağlar Sözen, Mervenur Sözen
wiley   +1 more source

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