Author

Aravind V. Kuruvikkattil

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Preprint Aug 2026

Predicting Early Functional Decline from Longitudinal Laboratory and Vital Sign Trajectories: A Large-Scale Study Using the All of Us Research Program

Functional decline in older adults is typically recognized only after falls or observable gait impairment, closing the window for prevention. We investigated whether temporal trajectories of routine biomarkers, already recorded but rarely analyzed longitudinally, can identify patients in the pre-clinical phase of mobil...

Rashmita Kudamala, Aravind V. Kuruvikkattil, Lalitha Pranathi Pulavarthy et al. · 0 citations

#machine learning Preprint Sep 2026

Machine Learning for Pre-Culture ESBL Risk Stratification to Guide Empiric Antibiotic Selection: A 12-Hospital Study of Enterobacteriaceae Cultures

A cost-sensitive XGBoost model predicting an ESBL phenotype at culture ordering at culture ordering was developed, identifying prior ESBL colonization as the dominant predictor, ahead of prior organism burden and neighborhood deprivation; removing deprivation features caused minimal performance loss, enabling equitable...

Aravind V. Kuruvikkattil, Lalitha Pranathi Pulavarthy, Rashmita Kudamala et al. · 0 citations