Course Name: Precision Care Medicine
Early Dynamic Prediction of Organ System Deterioration in ICU Patients
Cardiovascular and respiratory deterioration signify progressive decline in respective organ systems, with cardiovascular (CVS) issues accounting for 17.8% of ICU...
Perioperative Risk Assessment to Predict Hemodynamic Instability in Cardiac Surgery Patients
This project aims to enhance the prediction of hemodynamic instability in cardiac surgery patients undergoing cardiopulmonary bypass, addressing the critical...
Predicting Anti-VEGF Therapy Response in Wet-AMD Patients
In this project, we aim to predict wet age-related macular degeneration patients’ responses to anti-VEGF therapies using machine learning. Wet...
Machine Learning Models to Differentiate the Etiology of Cutaneous Reactions in Post-Stem Cell Transplant Patients
Allogeneic hematopoietic stem cell transplantation (HSCT) is a life-saving treatment for patients with hematologic diseases and is often complicated by...
Deep Learning Detection of Subtle Dynamic Ocular Torsion from Video Ocular Counter Roll (vOCR)
The project focuses on the detection of dynamic ocular torsion from a small dataset of eye video recordings from the...
Monitoring and Prediction of Cardiac Arrest in Pediatric ICU Patients with Machine Learning
Cardiac arrest is a leading cause of mortality within pediatric intensive care units (PICU), causing ~40% of pediatric CA in...
Skin Tone Calibration of Pulse Oximeter Oxygen Saturation Data
Our project aims to enhance the accuracy of pulse oximetry readings across all skin tones to address the critical issue...
Pre-Surgical Risk Stratification using Deep Learning on 12-lead ECGs for Non-Cardiac Populations
Surgical decision-making is critically dependent on accurate assessments of risk, but the effectiveness of electrocardiography (ECG) in evaluating surgical risks...
Resisting Resistance: Using Machine Learning to Optimize Antibiotic Treatment
We are using machine learning to help clinicians decide on whether to broaden the antibiotic spectrum by assessing the risk...
Dynamic Risk Profiling in Patients with Cardiac Inflammatory Syndrome
Development of machine learning models that predict ICU admission for children with Cardiac Inflammatory Syndromes to improve clinical outcomes.
Uncovering Predictors of Neonatal Brain Injury Using Machine Learning
This poster represents the work in Identifying predictors of three patient outcomes of Neonatal Brain Injury using Machine Learning made...
Predicting Successful Weaning Outcomes of Patients on MV Using EHR Data and Physiological Waveforms
Physiological waveforms are used to train a model to predict extubation outcome in order to help physicians predict when to...
Prediction of Mobility After Stroke
Predictive models of mobility recovery and adverse event risk following stroke.
Data-driven Modeling to Improve Pulmonary Hypertension Risk Stratification
Pulmonary hypertension (PH) is characterized by a mean pulmonary arterial (PA) pressure greater than 20 mmHg. The inability of the...
Predicting Liberation from Mechanical Ventilation in the Intensive Care Unit
We aim to develop a model that can accurately predict independence from mechanical ventilation with an end-goal of supporting clinician’s...
Machine Learning-Based Prediction of Cardiac Arrest Outcome Using a Large Multi-Center Database
Cardiac arrest (CA) is a leading cause of death and poses a significant risk of long-term neurological disability due to...
Using Machine Learning Models to Predict the Likelihood of Patient Readmission to ICU
Intensive care units (ICUs) cater to individuals with severe injuries and illnesses. Therefore, the patients within suffer from acute anatomic...
Quantitative Assessment of TMJD-Induced Sleep Disorders and Prediction of Therapy Effectiveness
Temporomandibular joint dysfunction (TMJD) is one of the most common orofacial pain conditions, affecting an estimated six to 12 percent...
Physiologic Responses to Red Blood Cell Transfusion in Critically-Ill Pediatric Patients at a University PICU between 2014-2015
In critical care units across the world blood transfusion decisions currently rely heavily on a patient’s hemoglobin concentration, though there...
Analytics of Prediction for Insomnia and Cognitive Impairment
Insomnia is the most common sleep disorder in the United States and affects approximately 60 million Americans. Patients with insomnia...
A Pulse Arrival Time Based Method to Establish Blood Pressure Limits of Autoregulation and Optimal Blood Pressure in Individual Patients During Surgery
The regulation of blood flow into peripheral organ systems is imperative to maintain adequate perfusion and prevent tissue damage. The...