Astronomical software used to detect cancer

Astronomical software used to detect cancer

In a rare occasion , astronomers and cancer researchers to conduct joint research study of breast cancer using image analyzer software originally developed to explore the stars .

The automated system offers a quick way to test if a tumor was aggressive . One time this method makes the pathologist ( pathologist ) no longer rely on the microscope pounded thin differences in the samples were again examined .

Scientists from the University of Cambridge on Wednesday , calling astonomik algorithms or procedures that diadaptsi fixers to biology , proved far LEBIT fast and accurate analysis of procedures tumors in general .

Astronomers had long been using a sophisticated computer system to menjumput blurred objects in the night sky , while the software used the Cambridge research team initially developed to help search for planets that could be habitable life .

But the method and the software is never used in the biomedical field , until now . Both have not been used as much as they deserve , said lead researcher Ali Raza who is a pathologist Cancer Center Institute of Cambridge , UK , told Reuters .

Ali and his colleagues surveyed about 2,000 tumor samples and found that the system can process the astronomical algorithm samples in a day , but if using manual analysis takes a week .

The scientists now plan to conduct more extensive research involving samples from over 20,000 pasisen breast cancer , in order to improve the scientific approach .

Examining the tumor samples is a key part of treatment for breast cancer patients , given the differences in the sample can indicate whether the tumor shows a particular protein .

A positive result means that a patient can be matched with certain drugs such as Roche's Herceptin artificial .

Ali says his method is the first time adapting astronomy .

Cancer research team and Cambridge astronomer who published their findings in the British Journal of Cancer , has put all the algorithms and their images in the public domain , with the hope of encouraging collaborative research more broadly , according to Reuters . ( * )