Khaberni - A modern artificial intelligence technology can detect DNA fragments secreted by tumors and spread in the patient's blood, which helps doctors determine the effectiveness of pancreatic cancer treatments more quickly, and switch to another treatment before it is too late.
Artificial intelligence is faster and more accurate in predicting the course of treatment compared to imaging technologies and analyses
Two clinical trials on blood samples from patients have shown that artificial intelligence can be used to determine the therapeutic response to one of the most complex types of tumors so far.
According to "Science Daily," this technology represents a much better way of predicting the course of treatment compared to imaging techniques and other clinical markers and analyses available two months after starting treatment.
The research team from Johns Hopkins University pointed out another advantage of this technique, which is its simplicity and the possibility of widespread application.
Time is a crucial factor
Time is a crucial factor in the treatment of pancreatic cancer patients, as Dr. Victor E. Velculescu, the principal investigator in the study, explained: "Many pancreatic cancer patients are diagnosed at a late stage when the cancer develops rapidly."
He added: "Providing more promising treatment options for patients is crucial, especially with the increasing number of experimental treatments available for pancreatic cancer."
Moving to another treatment
He continued: "We want to know as quickly as possible whether the treatment is helping the patient or not. If it is not effective, we want to be able to move to another treatment."
Currently, doctors use imaging tools to monitor the response to cancer treatment and tumor progression. However, these tools may not provide timely results and are less accurate for patients receiving immunotherapies, which can complicate the interpretation of the results.
