AI is helping in faster detection of cancer cells, says study

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AI is helping in faster detection of cancer cells, says study
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New research claims to have created an artificial pathologist.

improves the survival rate of a patient. Its diagnosis, which is carried out by detecting changes in the cell size, shape, or form, is pivotal to the pathology of the disease.

Now in most cases, doctors need to do a biopsy to be sure a patient has cancer. The analysis of solid tissue biopsies is commonly done in the middle of a medical operation by trained pathologists. This expert analysis requires pathologists to perform multi-step processes and inspect the tissues under a microscope, all while the patient lies on the operation table. This process, more often than not, takes a lot of time, resources, and labor.

Using the solid tissue biopsy samples of colons in humans and mice, the researchers used a tissue grinder to break down the biopsy samples to a single-cell level. Then they used Real-time fluorescence and deformability cytometry to analyze these cells. RT-FDC is a microfluidic technique allowing the assessment of the physical properties of single cells fasts, with up to 1,000 cells analyzed per second. This is an approach 36,000 times faster than old methods of analyzing cell deformability.

Dr. Markéta Kubánková, part of the research team at Max Planck Institute for the Science of Light in Erlangen,, “When you go to your doctor, he or she doesn’t just look at you, but also does a physical examination and feels parts of your body. With traditional methods to analyze a biopsy sample, a pathologist can only look at cells. We can physically examine the individual cells, which gives us much more information to work with.

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