AINU, an artificial intelligence that distinguishes malignant cancer cells from normal ones with nanometric precision

A team of Spanish researchers has taken a giant step towards fights cancer and viral infectionsThey developed an innovative artificial intelligence (AI) called AINU (CORE AI) capable of differentiate cancer cells from normal cells at the earliest stages of the tumor, opening up new possibilities for early diagnosis and disease monitoring

AINU uses advanced microscopic technology known as STORM for scan images high resolution cells. This technology allows capture detail at the nanometer levelrevealing cellular structures 5,000 times smaller than the width of a human hair.

Preventive detection

Teacher Pia Cosmaa researcher at the Centre for Genomic Regulation (CRG) and co-author of the study, explains: “The resolution of these images is powerful enough that our AI can recognise specific patterns and differences with remarkable accuracy, which helps detect changes very soon after their occurrence.

One of the most promising applications of AINU is its ability detect viral infections at very early stagesDuring the tests, the AI ​​was able to detect changes in the cell nucleus just one hour after infection with the herpes simplex virus type 1.

He Dr. Ignacio Arganda-Carrerasco-author of the study and researcher at the University of the Basque Country, emphasizes: “Usually Doctors need time when an infection is detected, as they are based on visible symptoms or serious changes in the body. With AINU, we see small changes directly into the cell nucleus.

AINU is not only effective in detecting viral infections, but also shows great potential for early diagnosis cancer. The tool is capable identify cancer cells analyzing subtle changes in DNA structure and nuclear organization with unprecedented precision.

Dr. Limei Zhongco-author of the study, suggests that “in hospitals and clinics, AINU could be used to diagnose infections with a simple blood or tissue sample“.

There are obstacles

Despite its revolutionary potential, researchers warn that there are still obstacles important before AINU can be implemented in a clinical setting. Key limitations include the need for specialized equipment to acquire STORM images, as well as the significant investment required in technology and trained personnel.

Moreover, the current system can only analyze a few cells at a timewhich creates problems for its use in large-scale diagnostics. However, Dr. Cosma optimistic: “There are a lot of rapid advances happening in the STORM imaging space, so microscopes They may be available soon. in smaller or less specialized laboratories and even in the clinic. “We hope to conduct preclinical experiments soon.”

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