Can this algorithm for identifying galaxy similarities cure cancer?

a. Similarities between galaxies

b. Origins of black hole

c. Differences between stars

d. None of the above

 

A detailed and complex algorithm and technique used by Jet propulsion library/JPL of NASA identifies common cancer biomarkers through an algorithm initially developed to identify similarities between galaxies.

• The algorithm checks patterns in tissue samples to find common cancer biomarkers
• Partnership between space agency and Early Detection Research Network has revolutionised biomedical engineering and the partnership has been extended
• Algorithms have helped to discover six new FDA approved chemical and genetic signatures to eliminate cancer
• NASA press release has also said 9 signatures have been approved for clinical lab use in US
• EDRN was founded in 2000
• With standardisation in place, the algorithm can take varying types of data and information to look for patterns that could indicate cancer or other types of medical issues, similar to what NASA space ships do in space to identify celestial bodies.
• Galaxies have been analysed using a machine learning algorithm taught to recognise astrophysical commonalities- the same is being applied to cancer images
• On Sept. 6, 2016, JPL and the National Cancer Institute (NCI), part of the National Institutes of Health, renewed a research partnership through 2021, extending the development of data science that originated in space exploration and is now supporting new cancer discoveries.
• "As we develop more automated methods for detecting and classifying features in images, we see great opportunities for enhancing data discovery. We have examples where algorithms for detection of features in astronomy images have been transferred to biology and vice-versa.” the press release said