A team from the Polytechnic University of Valencia A new diagnostic system for bladder cancer has been developed. This system of "artificial languages" aims to advance diagnosis of the disease, allowing for earlier treatment and increasing survival rates.
These tongues or devices are used to analyze food and beverages using a series of sensors. Through pre-programmed instructions, they detect soluble compounds.
The researchers, using as a basis studies that have established differences in the urine of a healthy person with a patient with bladder cancerThese languages have been programmed to detect bladder cancer with an effectiveness of 75 percent.
Further research and development of these languages are needed, but they could allow for the detection of cancer in its early stages and also enable disease monitoring. Finally, the first prototype has been presented for the first time at the XIII International Workshop on Sensors and Molecular Recognition (IWOSMOR).
To learn more about current bladder cancer detection methods, you can do so via the following link on our website:
https://www.icua.es/urologia-avanzada/cancer-de-vejiga/
