RWF Consulting LLC ™
The current focus of RWF Consulting LLC is supporting the healthcare industry by providing consulting services in in the field of software and software development.
RWF Consulting LLC is a Microsoft Partner, see current articles below identifying approaches to solving the problem of cancer including utilizing Quantum Entanglement to expedite Cancer diagnosis. We are prepared to provide those interested in purchasing the above service with us providing you our non-disclosure agreement upon written request.
How Microsoft computer scientists and researchers are working to ‘solve‘ cancer:
https://news.microsoft.com/stories/computingcancer/
In addition to the approaches identified above and computing processing approaches identified below, the Artificial Intelligence tools are being developed providing life-saving capabilities identified in this paper:
https://spectrum.ieee.org/biomedical/diagnostics/the-first-frontier-for-medical-ai-is-the-pathology-lab
These breakthroughs support physical biopsies. RWF Consulting LLC ™ is working toward applying the Artificial Intelligence tools to quantum entanglement superposition in which particles exist in two different states simultanously to address tumors that are not accessible . Stay tuned....
Advanced processing approaches to computing may be the breakthrough needed to implement timely and cost-effective cancer analytics. Cancer does not wait for health care professional to diagnose a treatment using current digital processing methods. New methods are needed to support .
RWF Consulting LLC™ is pursuing the below four advanced processing approaches to encourage the real time diagnosis and treatment of cancer patients using quantum entanglement superposition in which particles exist in two or more states simultaneously.
1) Quantum Computing
Researchers Finally Proved Quantum Computers are More Powerful Than Classical Computers
https://motherboard.vice.com/en_us/article/evw93z/researchers-finally-proved-quantum-computers-are-more-powerful-than-classical-computers
2) Multi-Core System-on-Chip Massively-Parallel Computing Platform
http://apt.cs.manchester.ac.uk/projects/SpiNNaker/
http://spinnakermanchester.github.io/docs/SpiNN2DataShtV202.pdf
3) Exascale Computing
The Exascale Computing Project is accelerating delivery of a capable exascale computing ecosystem for breakthroughs in scientific discovery, energy assurance, economic competitiveness, and national security.
https://www.exascaleproject.org/
Analog Computing
Back to analog computing: Columbia researchers merge analog and digital computing on a single chip
Digital computers have had a remarkable run, giving rise to the modern computing and communications age and perhaps leading to a new one of artificial intelligence and the Internet of things. But speed bumps are starting to appear. As digital chips get smaller and hotter, limits to increases in future speed and performance come into view, and researchers are looking for alternative computing methods. In any case, the discrete step-by-step methodology of digital computing was never a good fit for dynamic or continuous problems—modeling plasmas or running neural networks—or for robots and other systems that react in real time to real-world inputs. A better approach may be analog computing, which directly solves the ordinary differential equations at the heart of continuous problems. Essentially mothballed since the 1970s for being inaccurate and hard to program, analog computing is being updated by Columbia researchers; by merging analog and digital on a single chip, they gain the advantages of analog and bypass its problems.
https://www.cs.columbia.edu/2016/back-to-analog-computing-columbia-researchers-merge-analog-and-digital-computing-on-a-single-chip/
RWF Consulting LLC ™ is pursuing the above advanced processing approaches to encourage the real time diagnosis and treatment of cancer patients using Quantum Entanglement Superposition in which particles exist in two or more states simultaneously.
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A comment from Ralph W. Farrington:
Having experimented with Analog Computing before it disappeared and before being trained on digital computing I am intrigued with Analog and or Analog Hybrid computing being applied to the cancer problem.
Machine Learning applied via Analog and Analog Hybrid computing may be the breakthrough needed to implement timely and cost effective cancer analytics. Cancer does not wait for health care professional to diagnose a treatment using current digital processing methods that the author states “ some of the more difficult problems of this size require an immense amount of power or solution times that can stretch into days or even weeks.” He further states “The analog processing on a computer of the type my colleagues and I have developed typically takes about a millisecond. The solution of differential equations that involve only one derivative typically requires less than 0.1 microjoules of energy on our computer.” See the IEEE Spectrum February 2018 article below:
https://spectrum.ieee.org/computing/hardware/not-your-fathers-analog-computer
Link to Current Healthcare approach of RWF Consulting LLC
The Blue Ribbon Panel report (17 October 2016) of the Cancer MoonshotSM's ambitious goal
The Blue Ribbon Panel report describes 10 transformative research recommendations for achieving the Cancer MoonshotSM's ambitious goal of making a decade's worth of progress in cancer prevention, diagnosis, and treatment in just 5 years.
Over View Video:
https://youtu.be/uQBNApEb1a8
Recommendations of the Blue Ribbon Panel:
https://www.cancer.gov/research/key-initiatives/moonshot-cancer-initiative/blue-ribbon-panel
Full Blue Ribbon Panel 2016 Report:
https://www.cancer.gov/research/key-initiatives/moonshot-cancer-initiative/blue-ribbon-panel/blue-ribbon-panel-report-2016.pdf
Recommended readings:
1) IEEE Computer Society:
IEEE Computer Society digest Computing Edge, March 2017 issue entitled Big Data and Analytics
https://www.computer.org/cms/Computer.org/computing-edge/ce-mar17-final.pdf
2) IEEE Engineering in Medicine and Biology Society (EMBS):
IEEE Pulse magazine January/February 2017 issue 45th Anniversary of the War on Cancer
http://pulse.embs.org/january-2017/the-war-on-cancer/
