HIGH PERFORMANCE COMPUTING
Looking to the future ‘We can take that exact same slide that has already been created and extract more information out of it. This information can tell a clinician that they may benefit from hormonal therapy and that is valuable because those pills are cheap, for example,’ said Ruderman. ‘It is information that is already held in the slides they have in their hands. You just need to get it digitised and into a computer so they can make the analysis.’ This data could be collected at the
point, or it could be mailed off and scanned at another location. However, Ruderman stressed that this should not be seen as a replacement for traditional methods, rather it should be used to supplement and improve doctors ability to diagnose. ‘For every cancer there is an alphabet
soup of these kinds of mutations or tests that you can do to sub classify these according to what therapies they will respond to. If you look at the publications
www.scientific-computing.com | @scwmagazine
in digital pathology, people are working on lung cancer, colorectal cancer, prostate cancer and others,’ comments Ruderman. ‘They are not exactly asking the same questions that we are asking but people are now digitising those samples and running deep convolutional neural networks on them.’ In this new age of AI and deep learning Ruderman stressed that there is no magic bullet to develop the perfect model. ‘We are still in the age where it is know-how, trial and error and an art form. The more computing power you have the more room you have to experiment and try different architectures simultaneously’ said Ruderman. This is a key part of the collaboration
between the Ellison Institute and Oracle as the computing power provided By Oracle allows the researchers to try different model parameters to explore the ways that the model can be improved. ‘People are now getting things to work at a certain level and they publish their
“The short answer is, there is no formula, go out for yourself and try stuff”
architecture. You might look at the number of layers and try to emulate it or build from that existing process or protocol that has been developed previously. ‘That is where having a lot of computing
resources that we have with our collaboration with Oracle, is really helpful because it allows us to explore these things. The short answer is, there is no formula, go out for yourself and try stuff,’ stated Ruderman. ‘You take something that works, start
there and then you tweak it. That is the world we are in right now. As computing power becomes more accessible, that means we can experiment more,’ Ruderman concluded.
Summer 2020 Scientific Computing World 15
Design_Cells/
Shutterstock.com
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38
