Skin Tone Calibration of Pulse Oximeter Oxygen Saturation Data Project Details Biomedical Engineering
Monitoring and Prediction of Cardiac Arrest in Pediatric ICU Patients with Machine Learning Project Details Biomedical Engineering
Resisting Resistance: Using Machine Learning to Optimize Antibiotic Treatment Project Details Biomedical Engineering
Deep Learning Detection of Subtle Dynamic Ocular Torsion from Video Ocular Counter Roll (vOCR) Project Details Biomedical Engineering
Deep Learning for Early Prediction of Multi-drug-Resistant Organisms in the Emergency Department Project Details Biomedical Engineering
Perioperative Risk Assessment to Predict Hemodynamic Instability in Cardiac Surgery Patients Project Details Biomedical Engineering
Gait Analysis using a High-Resolution Spatiotemporal Pressure Sensing Insole Project Details Biomedical Engineering
Early Dynamic Prediction of Organ System Deterioration in ICU Patients Project Details Biomedical Engineering
Predicting successful weaning outcomes of patients on MV using EHR data and Physiological Waveforms Project Details Biomedical Engineering
Artificial Intelligence Based Ocular Motor Digital Biomarkers for Neurologic Disease Phenotyping Project Details Biomedical Engineering
Genomic Subgrouping of ALS Patients to Investigate Differences in Clinical Progression Project Details Biomedical Engineering
Pre-Surgical Risk Stratification using Deep Learning on 12-lead ECGs for Non-Cardiac Populations Project Details Biomedical Engineering
Subsequence-level approaches for assessing TCR sequences yield insights into T cell repertoire dynamics in ulcerative colitis patients Project Details Biomedical Engineering
Decoding Physiological Waveforms for Early Prediction of Sepsis Project Details Biomedical Engineering
Comparative Analysis of Standard vs. End-Tidal Carbon Dioxide-Guided Pediatric Cardiopulmonary Resuscitation Project Details Biomedical Engineering
Predicting Liberation from Mechanical Ventilation in the Intensive Care Unit Project Details Biomedical Engineering
Machine Learning Models to Differentiate the Etiology of Cutaneous Reactions in Post-Stem Cell Transplant Patients Project Details Biomedical Engineering
Developing Machine Learning Models to Predict for Pediatric Mechanical Ventilation-Associated Events (PedVAE) in Patients Project Details Biomedical Engineering