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)

Paris Perdikaris, PhD

Assistant Professor of Mechanical Engineering and Applied Mechanics

Penn Engineering

Dimitrios Papageorgiou, PhD

Research Scientist

Massachusetts Institute of Technology

Cohort

2018-2019