Grad Research: A Better Way to Detect Anemia

For individuals living in developing countries, performing a standard blood test is not always an easy task.

This is part of the reason why Carleton student Yasmina Souley Dosso has conducted research on and is now developing an app able to detect anemia – a condition which is marked by a deficiency of red blood cells in the blood, resulting in weariness.

Dosso chose to work on this research because anemia is a fairly common condition, so her app would be useful to a large group of people.

“I have a wide entourage of people who have anemia, and I know how going to the clinic to get a blood test comes with long wait times, some are afraid of needles, and others have to get checked very frequently,” said Dosso.

“I figured that an easier and simpler way to bypass this process could be ideal.”

Users of the app place their finger on the front facing camera on their smartphone, which then takes a series of photos which are analyzed by machine learning algorithms.

An estimation of the hemoglobin concentration (a hemoglobin is a protein molecule that plays an important role in maintaining the shape of the red blood cells) is then provided to the user who can efficiently monitor their health status in the comfort of their own home.

This application could be used by anyone across the world, even for those who don’t think they have anemia.

Read the full story on the Graduate and Postdoctoral Affairs site.