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New AI method is said to recognize breast cancer in the earliest stage

New AI method is said to recognize breast cancer in the earliest stage

Artificial intelligence can beyond explanation of breast cancer in a very early stage. The new approach could save lives. However, there are still hurdles until the methodie can be used in hospitals.

When recognizing breast cancer, AI algorite is so good that exceeds people in some tales SOAG. The British Health Handling used Berees AI to analyze mammographies. For example, breast cancer cases are to be recognized that have so far been overridden by human afen.

The algorithms can die analyzes to be recognized, um vorandum tumor cells. But doctors also need new methods in order to recognize and act the so -called markers for cancer in the Frotsten stage.

In a pilot study, nun method was tested, in which Einki-based blood examination should be breast cancer in the very early stadium identification. The study of the studies, published in November in the “Journal of Biophotonics”, showed: Breast cancer in stage 1a was recognized with an accurate of 90-100 percent.

If cancer beans are recognized in stage 1a, patients have A much higher survival rateWhen reason is only diagnosed with cancer in a later stages. Smaller tumors are easier to treat because they are limited in a certain area. You can easily be treated with radiation.

“The study is a Meulenstein at the University of Edinburgh in Great Britain.

However, Tipatet emphasizes that the approach was only a 24 patient and that Nick is in hospitals set for the sentence as long as the results nod are nodded in greater studies.

A new approach to identify breast cancer

So far, conventional methods of cancer are based on the detection of markers of a cancer tumor itself. With the help of a mammography, distortions can be seen in the breast tissue that can be found on cancer, often before occurring symptom of cancer. The molecular signature of cancer cells can also detect biopsies, including tissue withdrawals.

With these methods, however, cancer in the Fehmstadium will override. Because that is “like the Nachh der Heuerhufen,” said Tipatet in an interview with the DW. “The mostly technologies certainly contain this needle to find this needle.

Topatets study, on the other hand, follows a different approach. Instead of searching for post -cancer tissue, the researchers collect information about how the body reacts to cancer. Siedote specifically after “molecular fingerprints” that indicate that the body fights breast cancer.

These fingerprints “come from cancer itself or from the body cells, such as the immune system that fight cancer”, walks. They ready to show the very much fucking of breast cancer in stage 1a in the millimeter rice, which are often used to see in the collectors or biopsies.

The researchers withdraw blood samples from patients and analyzes them with a technique called Raman spectroscopy to measure molecular patterns. Raman spectroscopy is a widely processed technology that “gradually contains a large potential for clinical diagnosis (many illness)”, that is, Jürgen Popp, director of Dessibniz institutions Fürische Technologies in Jena in Jena.

AI tool still ready for clinical insert

Die Ki can die analyze terstein, says Tipatet. However, as a replacement for cancer confection through -Human, it was not intended.

Popp is positive about the study approach, but refer to the slightly sample size “Malistic studies are essential for validating clinical use and scalability.

There are Berber. According to study director Tipatet, Bergen is planned:

According to Tipatet, however, the current study shows: Raman spectroscopy in connection with artificial intelligence can enable a die Wrürde.

Study director Tipatet Arangeet Berber puts together with other researchers, um the new approach to test for other types of cancer. “We die so-called” big-four cancer “: lung, intestinal, prostate and breast cancer.” According to the Tipatet, four types of cancer in Diediese have around 50 percent of world white new illnesses.

“We have to strive intensely for an early era. That would improve the quality of life and the survival hills of Milen of people worldwide.”

The gnariest in brief

  • The new AI-based screening method recognizes breast cancer in stage 1a in nine of ten tales 1a
  • KI is used berber worldwide as a supplementary instrument in health
  • Larger studies are required to order the Erge results of the new study

The article has been published on English.