For many people diagnosed with early breast cancer, one big question comes after surgery: should they have chemotherapy or not? This decision is not easy.
Chemotherapy can reduce the risk of cancer coming back, but it can also cause serious side effects. In many cases, patients go through chemotherapy without gaining real benefit.
Doctors currently use special gene tests to help make this decision. These tests look at how certain genes behave in cancer cells. While helpful, they are expensive, slow, and not available in many parts of the world. This creates a gap in care, especially for patients in lower-income regions.
A new study offers a different approach. Researchers from the Technion—Israel Institute of Technology have developed an AI-based tool that may help solve this problem. The study was published in The Lancet Oncology and is based on years of research and testing.
The new method does not require gene testing. Instead, it uses images of tumor tissue that are already collected during diagnosis. These images are examined using artificial intelligence, which can detect patterns that humans cannot easily see.
The AI studies many small details in the tissue, such as how the cells are shaped, how they grow, and how they interact with nearby cells. It then combines all this information to produce a score. This score helps doctors understand both the chance of the cancer returning and whether chemotherapy is likely to help.
To make sure the system works, the researchers tested it using data from a very large clinical trial with over 10,000 patients. This type of trial is considered very reliable because patients are randomly assigned to different treatments.
The results showed that the AI could identify which patients would benefit from chemotherapy. This is a major step forward, because many existing tools only estimate risk but do not clearly show who will gain from treatment.
The system was also tested in hospitals in different countries. It performed well across different groups of patients and different medical settings. This suggests that it could be used widely around the world.
One of the biggest advantages of this approach is that it is fast and affordable. Since it uses existing tissue samples, no extra testing is needed. Results can be ready within minutes, which can help doctors and patients make decisions more quickly.
This could be especially important in places where access to advanced medical testing is limited. It may allow more patients to receive personalized care without high costs.
Even so, experts say more research is needed before this tool becomes part of routine medical care. Doctors will need training, and the system will need to be tested further in real clinical settings.
In conclusion, this study shows that AI has the potential to improve how breast cancer is treated. It may help avoid unnecessary chemotherapy and ensure that patients receive the treatment that is best for them.
The findings are promising, but they should be seen as an early step. Careful use, further testing, and clear communication will be key to making this technology truly helpful for patients.
If you care about breast cancer, please read studies about how eating patterns help ward off breast cancer, and soy and plant compounds may prevent breast cancer recurrence.
For more health information, please see recent studies about how your grocery list can help guard against caner, and a simple way to fight aging and cancer.
Source: Technion—Israel Institute of Technology.
