Design Day 2023 – BME Schedule of Events

BME Student Presentations

9:00 am – 11:30 am

Goldfarb Gym

9:00 am         Welcome & Introductions

9:10 am          CBID Master’s Program

• SomnOSA: Relieving Complete Concentric Collapse in Obstructive Sleep Apnea
• MiraHeart: Monitoring Early Signs of Pediatric Heart Failure
• DiscOva: Detecting Early-Stage Ovarian Cancer
• ARISE: Expanding Global Access to Minimally Invasive Surgical Education
• CurveAssure

10:10 am       Design Team & Project-Based Courses

Precision Care Medicine

• Lavender: A Data-Driven Approach to Define Pathobiological Classifications of Pulmonary Hypertension
• Obsidian: Developing a Deep Learning Model for Age-Related Macular Degeneration Conversion

Biomedical Data Design

• Automated Gleason Grading
• Method for Improving ML Interpretability for Medical Imaging

BME Undergraduate Design Team Program

• SimMetric: Improving Robotic Surgery Training
• BiliFlow Balloon Sleeve Catheter: Eliminating Repeat Procedures for Biliary Stricture Dilation
• PreSlice: Depth Guide for Melanoma Biopsies
• LymphaLock: A Retractable Securement Device for Percutaneous Lymphatic Access
• CollAIR: Apnea Aid for Sedative Surgery
• Fetal Therapy Technologies: Designing a Novel Port System to Mitigate Membrane Rupture in Fetal Therapy Procedures

Advanced Design

• Silectrode: Improved Peripheral Nerve Assessment

11:10 am       BME Awards

BME Student Poster Presentations

2:00 – 4:00 pm

Bob Scott Gym

CBID Master’s program – Row 1

BME.01 – SomnOSA: Relieving Complete Concentric Collapse in Obstructive Sleep Apnea
BME.02 – Visilant: Increasing Access to Eye Care through Community- Based Telemedicine
BME.03 – MiraHeart: Monitoring Early Signs of Pediatric Heart Failure
BME.04 – VectorCam: Fighting Malaria One Image at a Time
BME.05 – digniFI: Providing Patient-Centered Solutions for Managing Fecal Incontinence
BME.06 – ARISE: Expanding Global Access to Minimally Invasive Surgical Education
BME.07 – DiscOva: Detecting Early-Stage Ovarian Cancer
BME.08 – BreastAssured: Enabling Accessible Breast Cancer Screening in LMICs

BME Undergraduate Design Team Program – Row 2

BME.09 – TBI Bi-Flow: Point-of-Care Traumatic Brain Injury Diagnosis from a Blood Sample Using a Lateral Flow Assay
BME.10 – comPLEX Dx: Fully-Multiplexed Point-of-Care Pathogen Testing
BME.11 – PathNav: Enabling the Digital Pathology Revolution
BME.12 – IMEDS: Automated Sedation Assessment in the PICU
BME.13 – CapnoLite: Capnography for Resource-Poor Health Care Environments
BME.14 – SimMetric: Improving Robotic Surgery Training
BME.15 – CollAIR: Apnea Aid for Sedative Surgery
BME.16 – BiliFlow Balloon Sleeve Catheter: Eliminating Repeat Procedures for Biliary Stricture Dilation
BME.17 – SecuIR: Better Patient Securement during IR Procedures

BME Undergraduate Design Team Program – Row 3

BME.18 – AptaTech: Biomarker-Based Stroke Detection
BME.19 – AnchorPoint: Stabilizing Drill Guides Used in ACL Reconstruction to Improve Surgical Efficiency
BME.20 – SelfCerv: Improving Access to Cervical Cancer Screening Using Rapid, Point-of-Care, User-Friendly miRNA Biomarker Assays
BME.21 – Fetal Therapy Technologies: Designing a Novel Port System to Mitigate Membrane Rupture in Fetal Therapy Procedures|
BME.22 – LymphaLock: A Retractable Securement Device for Percutaneous Lymphatic Access
BME.23 – PreSlice: Depth Guide for Melanoma Biopsies
BME.24 – KneeHab: Monitoring ACL Recovery
BME.25 – VentrAlarm: Post-Operative Monitoring of Ventral Hernia Repairs
BME.26 – CogniCap: When is a Doctor Competent?

Precision Care Medicine – Row 4

BME.27 – Predicting Liberation from Mechanical Ventilation in the Intensive Care Unit
BME.28 – Predicting Readiness-to-Wean from Mechanical Ventilation
BME.29 – Predicting the Consequences of Inadequate Empiric Selection for Bloodstream Infection Using Machine Learning
BME.30 – Toward Precision Rehabilitation After Stroke: Prediction of Mobility Recovery Using Big Data and Functional Status
BME.31 – A Data-Driven Approach to Define Pathobiological Classifications of Pulmonary Hypertension
BME.32 – Dynamic Risk Profiling in Patients with Cardiac Inflammatory Syndrome
BME.33 – Developing a Deep Learning Model for Age-Related Macular Degeneration Conversion
BME.34 – Application of Machine Learning to Cardiotocographs to Identify Fetuses at Risk for Brain Injury

Biomedical Data Design – Row 5

BME.35 – M-PHATE RNN Visualization Tool
BME.36 – Neuropixel Data Simulator and Validation Tool
BME.37 – Method to Classify and Detect Actions in Surgical Video
BME.38 – Image Memorability Metric Design
BME.39 – Automated Gleason Grading
BME.40 – Electronic Health Record Visualizer
BME.41 – Method for Improving ML Interpretability for Medical Imaging
BME.42 – Implementation of Calcium Imaging Simulation and Validation in Python