A New Method of Analyzing Tumor Samples Using Artificial Intelligence May Make Pathologists Obsolete

By: | April 22nd, 2023

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The uncertainty you feel while waiting for biopsy test results can cause a lot of stress and anxiety.

To determine if you have cancer or another condition, the doctor removes a sample of abnormal tissue for a biopsy. A pathologist looks at the tissue under a microscope and runs other tests on the cells. The pathologist describes the findings on the tissue’s health in a pathology report. 

While this may sound like a simple process, it isn’t!

The slicing and staining of a sample and inspecting it microscopically is a very resource-intensive procedure that requires the expertise of trained pathologists.

Waiting for a pathologist’s report may soon be a thing of the past!

A team of researchers developed a quick and simple method of accurately analyzing solid cancer tumors in about 30 minutes without consulting a pathologist.

Scientists from the Max Planck Institute for the Science of Light (MPL) and FAU have created a fast and precise method for analyzing cells in tissue samples using artificial intelligence.

The new method uses a “tissue grinder” to tear apart biopsy samples down to single cells, a process that takes less than five minutes.

These single cells are then analyzed using the real-time deformability cytometry (RT-DC) method developed in the Guck laboratory. The AI-enabled model evaluates the data obtained by RT-FDC and quickly assesses whether a biopsy sample contains tumor cells.

RT-FDC can analyze up to 1,000 cells per second which is 36,000 times faster than traditional methods of analyzing cell deformability.


Nidhi Goyal

Nidhi is a gold medalist Post Graduate in Atmospheric and Oceanic Sciences.

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