NASA Partners With EDNR To Detect Cancer Early, Will This Be A Successful Breakthough?
(Photo : Dan Kitwood/Getty Images/Cancer Research UK)
NASA partners with Early Detection Research Network (EDNR) to identify cancer as early as possible. For the advanced cancer research believes that scientists from NASA, who analyze the galaxies in space can also apply the technique in finding the patterns of the tissue samples from humans.
The tandem between the EDNR and NASA over the past 15 years has revolutionized biomedical engineering. Thus, they have announced that their partnership will extend to reach the common goal which is to identify cancer early. As follows, the National Cancer Institute supports the EDNR and renewed their contract with NASA last Sept. 6 and is expected to reach until 2021.
To aid their study, NASA's Jet Propulsion Laboratory (JPL) complex algorithm and technique which identifies the similarity among galaxies, can help the experts in the field of medicine study the human's tissue samples and locate the common cancer biomarkers.
According to Space.com, cancer researchers can benefit the space exploration tools to identify common chemical or genetic signatures related to specific cancers and revolutionize strategies for early cancer detection.
In addition, NASA said in a press release, the algorithms have already helped to discover six new Food and Drug Administration-approved chemical and genetic signatures to root out cancer. There are also nine signatures approved for use in clinical laboratories in the United States.
Thou the partnership between EDRN and NASA have outstanding results over time, they said however that the data was not yet standardized from one country to another. They have to do more follow-up work to make sure everything was processed and filed in a similar manner, according to International Business Times.
Dan Crichton, head of JPL's Center for Data Science and Technology said in a statement, great opportunities for enhancing data discovery, as we develop more automated methods for detecting and features in the image.