Google’s AI research team has now discovered a new theory that could help improve cancer treatment in the near future. The company has said that its artificial intelligence system has now found a new possible way to understand how the cancer cells respond to certain and different kinds of drugs.
This discovery would now help doctors to create better and even more personalised treatment plans for various cancer patients.
According to the recent research done by Google researchers, the AI model was also trained to study huge amounts of historical and recent medical data, thus, including information about the way cancer cells behave, the genes, and even the medicines.
The system was easily able to find certain and exact patterns that humans might miss. It also learned how certain drugs might affect specific types of cancer, all of which could lead to more effective therapies.
The research team has also recently explained that this is an early step in the field of research but it looks very promising. By using the AI tools, scientists can now also analyse millions of data repoints garding this, that too, much faster than before.
This would help everyone save their time and would also help them find new solutions that could take years to discover if done through normal research methods.
Google have also said the AI system might one day also be trained so well that wit ould help doctors predict which treatments will work best for which disease. This could make the cancer therapy more accurate and personalised for each patient and thus reduce the side effects from certain drugs that do not work well.
The goal is to make cancer care more personal as well as efficient.
Experts also believe that this kind of AI research could majorly change how he cancer treatment is planned in the future. Instead of using the same approach for everyone, doctors can now use AI to design a plan that matches the patients according to their condition.
The study is still being continued in this field, and Google’s team is working with medical scientists to confirm how accurate the results are.
