Future tool for arthritis treatment evaluation

(apparently in Rheumatoid Arthritis, RA) can significantly impact the performance of specific drug treatments because the study revealed 1,277 genes that specifically have

therapy (rituximab or tocilizumab).

The team applied a data analysis technique called machine learning modeling to develop computer algorithms that can predict drug response in individual patients and correlate it with gene profiles from biopsies, histological or clinical factors.

“Combining molecular information before prescribing arthritis treatments to patients could forever change the way we treat the condition. Patients will benefit from a personalized approach. chemistry has a much greater chance of success than today’s trial and error prescribing Standards These results are extremely interesting in demonstrating the potential at our fingertips, however, the field This is still a stub and additional validation studies will be required to fulfill the promise of precision medicine in RA,” said Prof. Costantino Pitzalis, at Queen Mary University of London.

Incorporating these markers in future diagnostic tests will be a necessary step in translating these findings into routine clinical care.

Source: Medindia

Source link


News7h: Update the world's latest breaking news online of the day, breaking news, politics, society today, international mainstream news .Updated news 24/7: Entertainment, the World everyday world. Hot news, images, video clips that are updated quickly and reliably

Related Articles

Back to top button