Blood Drop AI
Project Information
Problem
Abnormalities in red blood cells (RBCs) can be used for health evaluation and hematological disease diagnosis. Current hematological analyzers are limited in the spectrum of their measurements.
Solution
Blood Drop AI is a deep learning system for real time-localization, tracking, classification, and counting of red blood cells that will provide comprehensive analysis and statistics on cell morphology that will translate to relevant biomarkers for disease monitoring and prognosis.
Technology Type
Diagnostic
Aids with identifying the nature and cause(s) of a clinical problem or illness
Facilitator
Increases the efficacy of a clinical process or procedure
Therapeutic
Enables healing from or treatment of an illness or clinical problem
Monitor
Records/shares data as on-going surveillance of a clinical problem, process or procedure
PI/Inventor(s)
Assistant Professor of Mechanical Engineering and Applied Mechanics
Penn Engineering
Dimitrios Papageorgiou, PhD
Research Scientist
Massachusetts Institute of Technology
Cohort
2018-2019