CBMI@UTHSC

Integrating genomics and physiologic data (high-frequency) for sepsis detection

Fever prediction model using high-frequency real-time sensor data

Web application for sepsis clinical assessment scores using batch ICU patient data

Python-based standalone application for sickle cell disease prediction

small RNA Sequencing Pipeline

ECG image classification using deep learning

Deep learning model for sepsis prediction using high-frequency data

Apache spark streaming analytic engine for predicting patient deterioration using physiological data

ACF Resource Access