Blood Drop AI
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.
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.
Aids with identifying the nature and cause(s) of a clinical problem or illness
Increases the efficacy of a clinical process or procedure
Enables healing from or treatment of an illness or clinical problem
Records/shares data as on-going surveillance of a clinical problem, process or procedure
Assistant Professor of Mechanical Engineering and Applied Mechanics
Dimitrios Papageorgiou, PhD
Massachusetts Institute of Technology