Retinal Biomarkers of Acute Stroke

Uncovering Predictors of Neonatal Brain Injury Using Machine Learning

Precision Care Psychiatry

Artificial-Intelligence Powered Digital Ocular Motor Biomarkers of Parkinson’s Disease

Ocular Torsion Assessment from Fundus Images and Video-oculography

Discovering Phenotypes of Early Onset Heart Failure in Women

Predicting Hospital Readmission Following Acute Kidney Injury

Identification and Validation of a CCEP-Derived Computational Marker of the Epileptogenic Zone

Pre-Surgical Risk Stratification using Deep Learning on 12-lead ECGs for Non-Cardiac Populations

Dynamic Risk Profiling in Patients with Cardiac Inflammatory Syndrome

Predicting Liberation from Mechanical Ventilation in the Intensive Care Unit

Decoding Physiological Waveforms for Early Prediction of Sepsis

Developing Analytics for Precise Measurement of Hand Dysfunction in Stroke Survivors

Perioperative Risk Assessment to Predict Hemodynamic Instability in Cardiac Surgery Patients

Deep Learning for Early Prediction of Multi-drug-Resistant Organisms in the Emergency Department

Prediction of Cardiac Arrest in the Pediatric ICU

Prediction of Neurologic Injury in Pediatric ECMO

Predicting Anti-VEGF Therapy Response in Wet-AMD Patients

Prediction of Mobility After Stroke

Skin Tone Calibration of Pulse Oximeter Oxygen Saturation Data

Deep learning with multimodal data can predict imminent conversion to wet Age-Related Macular Degeneration

Machine Learning Models to Differentiate the Etiology of Cutaneous Reactions in Post-Stem Cell Transplant Patients

Comparative Analysis of Standard vs. End-Tidal Carbon Dioxide-Guided Pediatric Cardiopulmonary Resuscitation

Gait Analysis using a High-Resolution Spatiotemporal Pressure Sensing Insole