A Novel Prosthetic Liner with an Automatic Inflation and Deflation Mechanism Project Details Biomedical Engineering
Enabling Digital Pathology Adoption Via Hardware Interface Innovation Project Details Biomedical Engineering
Mobiliary: Eliminating Repeat Procedures to Treat Biliary Strictures Project Details Biomedical Engineering
AutoAspira: Automating Breast Cancer Biopsies for Enhanced Diagnosis Project Details Biomedical Engineering
Uncovering Predictors of Neonatal Brain Injury Using Machine Learning Project Details Biomedical Engineering
Improving the treatment of tricuspid valve disease with 4D fusion cardiac imaging Project Details Biomedical Engineering
AdiPURE: Enhanced Harvesting of Autologous Fat Tissue for Aesthetic Body Contouring Project Details Biomedical Engineering
Genomic Subgrouping of ALS Patients to Investigate Differences in Clinical Progression Project Details Biomedical Engineering
Developing Machine Learning Models to Predict for Pediatric Mechanical Ventilation-Associated Events (PedVAE) in Patients Project Details Biomedical Engineering
Monitoring and Prediction of Cardiac Arrest in Pediatric ICU Patients with Machine Learning Project Details Biomedical Engineering
VectorPAL: an Integrated Entomological Decision Support System for Malaria Control Project Details Biomedical Engineering
A novel neurostimulation solution for a highly prevalent, poorly treated form of obstructive sleep apnea Project Details Biomedical Engineering
CryoExtract: Novel Apparatus for Streamlining Tissue Retrieval in Lung Cryobiopsy Project Details Biomedical Engineering
Mela-Know-More: Leveraging tissue mechanics to transform the melanoma screening pathway Project Details Biomedical Engineering
Engineered Therapeutic Viruses can Target Abnormal RNA Splicing in Cancer Project Details Biomedical Engineering
Genotyping the Lewis Lung Carcinoma only in mice Cell Line to Confirm Stable Green Fluorescent Protein Expression Project Details Biomedical Engineering
Predicting Graft Loss after Living Donor Kidney Transplantation: Informing Optimal Donor Selection for a Potential Kidney Transplant Recipient Project Details Biomedical Engineering
