Artificial intelligence predicts the worsening of the disease 7 days earlier

A recent study says that urine sample analysis with the help of artificial intelligence can lead to the detection of chronic lung diseases up to 7 days before they occur.

Tracking chronic lung diseases with the help of urine samples with artificial intelligence helps to personalize treatment and prevent hospitalization. The research process was in such a way that the patients did a daily urine strip test and shared the result with the experts using a mobile phone.

In the next step, the researchers examined the urine samples of 55 people with chronic obstructive pulmonary diseases; This work was done in order to examine the molecules when the disease worsened. Most chronic obstructive pulmonary disease worsens in winter, and symptoms include difficulty breathing, wheezing, and persistent coughing.

After the changes in the molecules were identified, the researchers began measuring the markers in the urine; About 105 patients with chronic lung disease performed urine dipstick tests every day for 6 months and reported the results to the researchers.

The results obtained from 85 patients were analyzed using artificial neural network; This network is a type of algorithm that uses an artificial neural network to process data by imitating the human brain.

Finally, the researchers concluded that this artificial intelligence model can detect the worsening of the disease up to 7 days before the symptoms appear.