New method helps lung cancer patients receive right treatment faster
Researchers have developed a new AI-driven imaging technique that identifies genetic mutations in lung cancer patients significantly faster and cheaper than traditional lab methods. This fluorescence lifetime imaging microscopy (FLIM) approach allows for quicker treatment decisions by analyzing light signals from tissue samples.
Why it matters
This technology could democratize access to precision medicine, particularly in healthcare systems with limited resources.
LONDON : New technology could help doctors identify the right treatment for lung cancer patients more quickly, Scottish experts have said.
Researchers from the University of Edinburgh and National Health Service (NHS) Lothian have developed a new method for accurately predicting genetic changes that cause lung cancer, without the need for slower, more expensive laboratory techniques.
The findings have the potential to accelerate testing for lung cancer patients, helping doctors to identify the right treatment for patients more quickly.
"This approach has the potential to take processes that currently cost thousands of pounds and require weeks of lab work and reduce them to something that takes minutes and costs hundreds,” Dr Qiang Wang, co-lead of the study from the Institute for Regeneration and Repair, said.
"That is a step change in what is clinically achievable, particularly for centres and health systems where access to complex molecular testing is limited.”
Get smarter about the news
Sign up free for a feed built around what you actually care about, Dive Deeper research on any story, and the full text of every article.
Create free accountAlready have an account? Sign in