
The Master of Biomedical Informatics (MBI) class of 2022 presented their capstone projects in a hybrid in-person/virtual gathering that showcased the variety of topics the discipline can tackle. The bios of all current MBI students are a further indicator of the diversity of career paths an MBI can support.
Capstone Project Title |
Student | Project Mentor(s) |
---|---|---|
Time to Treatment Discontinuation in Hormone-Receptor-Positive (HR+) Metastatic Breast Cancer (MBC) Patients following CDK4/6 Inhibitor Treatment, Based on Observational Data Collected Through Patient-Partnered Research | Ariel Carmeli | Nikhil Wagle, MD; Tianxi Cai, ScD |
Predicting patient response to immunotherapy using peripheral immune signatures of classic Hodgkin lymphoma | Kelsey Lu | Shirley Liu, PhD; Ming Tang, PhD |
Detecting Obstructive Sleep Apnea using Routinely Collected EHR Data | Taylor Shishido | Susan Redline, PhD, MPH; Brian Cade, PhD |
Interpretable Machine Learning for the Prediction of Amputation Risk Following Lower Extremity Infra-Inguinal Endovascular Interventions for Peripheral Arterial Disease | Meredith Cox | Dania Daye, MD, PhD; Jayashree Kalpathy-Cramer, PhD |
Comparative Analysis of Single-cell Transcriptomics Uncover Human Fetal Heart Developmental Features | Weixiu “Jenny” Dong | Peter Kharchenko, PhD |
Prediction of Ubiquitination Sites and Implication for Targeted Protein Degradation | Jiaye Chen | Shirley Liu, PhD |
Deep Learning-Based Integration of Genomics, Histology, and Radiology for Improved Survival Prediction in Glioma Patients | Luoting “Lottie” Zhuang | Jana Lipkova, PhD; Richard Chen; Faisal Mahmood, PhD |
Genomic correlates of response to immune checkpoint blockade across cancer types | Pauline “Polly” Gabrieli | Eliezer Van Allen, MD |
Validating the use of electronic health record (EHR) phenotyping, to identify sex-based disparities in post-viral disease diagnoses, using Myalgic Encephalomyelitis / Chronic Fatigue Syndrome (ME / CFS) as a case study | Tiffany Tuedor | Shawn Murphy, MD, PhD; Victor Castro, MSc; Vivian Gainer, MS |
Development of Machine Learning Models to Identify Cases with Drug Rash with Eosinophilia and Systemic Symptoms (DRESS) Syndrome Using Clinical Notes from Electronic Health Records | Shijia Zhang | Li Zhou, MD, PhD; Liqin Wang, PhD |
Transformer versus Traditional Natural Language Processing: How Much Data is Enough for Automated Radiology Report Classification? | Eric Yang | Jayashree Kalpathy-Cramer, PhD |
Predicting Treatment Outcomes from Time-Varying Mechanical Ventilation Treatment Strategies among ARDS Patients in the ICUs | Shangshang Wang | Finale Doshi-Velez, PhD, MSE, MCS; Li-wei Lehman, MCS, PhD |
Development and Evaluation of a Prototype of Redesigned Drug Allergy Alerting Mechanisms | Lanting Li | Li Zhou, MD, PhD; Diane L. Seger, RPh; Ying-Chih Lo, MD, PhD; Foster Goss, DO, MMSc, FACEP; Heba Edrees, PharmD |
Survival Analysis of COVID-19 ARDS Patients using Dynamic Mechanical Ventilation Data | Daniel Tan | Li Zhou, MD, PhD; Maryam Tavakoli, PhD |
Parsable Clinical Trial Eligibility Criteria Representation Using Natural Language Processing | Jeongeun “Jane” Kim | Yuri Quintana, PhD |