# Mortality Prediction

Curiosity-0826-4B extends a generative medical event foundation model trained on Epic Cosmos records from adults to pediatric patients and adds explicit representations of death and right-censoring. The model grows from 1B to 4.3B parameters and from an 8K to a 16K context window, generally matching or exceeding Curiosity-0226-1B on tasks both support, with mean absolute error on laboratory value prediction 18–46% lower. Pediatric AUROCs for incident asthma and asthma exacerbation are comparable to an adult reference cohort, while sickle cell crisis is lower in children.

Curiosity-0826-4B extends a generative medical event foundation model trained on Epic Cosmos records from adults to pediatric patients and adds explicit representations of death and right-censoring. The model grows from 1B to 4.3B parameters and from an 8K to a 16K context window, generally matching or exceeding Curiosity-0226-1B on tasks both support, with mean absolute error on laboratory value prediction 18–46% lower. Pediatric AUROCs for incident asthma and asthma exacerbation are comparable to an adult reference cohort, while sickle cell crisis is lower in children.

A multi-cohort external validation shows that a previously trained generative adversarial network, applied without retraining, can synthesize mitral annular tissue-Doppler velocities and displacement from a standard 12-lead ECG. Among 1,065 hospitalized acute myocardial infarction patients, synthetic e′ independently predicted all-cause mortality beyond the GRACE score; in the post-discharge subgroup it raised discrimination from a C-index of 0.67 to 0.70 and stayed independent of AI-ECG-predicted and measured ejection fraction. In 219,564 outpatients, all three parameters were associated with MI-specific mortality, with MAPSE showing the largest effect.

A multi-cohort external validation shows that a previously trained generative adversarial network, applied without retraining, can synthesize mitral annular tissue-Doppler velocities and displacement from a standard 12-lead ECG. Among 1,065 hospitalized acute myocardial infarction patients, synthetic e′ independently predicted all-cause mortality beyond the GRACE score; in the post-discharge subgroup it raised discrimination from a C-index of 0.67 to 0.70 and stayed independent of AI-ECG-predicted and measured ejection fraction. In 219,564 outpatients, all three parameters were associated with MI-specific mortality, with MAPSE showing the largest effect.