Difference between revisions of "Projects:2016s1-120 Attacking Cancer with Signal Processing"

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Project members:Jin Hu  Mohammed Said Al-Wahaibi
 
Project members:Jin Hu  Mohammed Said Al-Wahaibi
  
== Supervisors: ==
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== Introduction ==
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Cancer is one of the most devastating unsolved medical problems. Only 7% of cancer patients on average have a hope of recovery. New approach to solve the problem is to fight the cancer by strengthening the human body's own immune system, by improving the timing of treatment, using signal processing. CRP is produced by the liver and adipocytes in response to inflammation. People who infected by cancer have a different CRP level comparing to healthy ones. Study showed that the best time to apply the immune therapy is when the CRP level is low.
  
Dr. Andrew Allison
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=== Motivation and Objectives ===
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The main focus of the project is to improve the existing treatment, by improving the timing. The project uses signal processing to estimate the optimal treatment time. The ultimate goal is that this project will help extending human lives.  
  
Prof. Derek Abbott
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=== Previous Studies ===
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In 2009,Dr. Brendon Coventry and his colleagues used Low-Reactive Protein (L-CRP) test to obtain high sensitivity data of CRP. And they found the CRP levels are periodic with the cycle of 7 days.
  
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In 2014, Dr. Mutsa Madondo and his colleagues did their research ,they used Enzyme-Linked ImmunoSorbent Assay(ELISA) to obtain blood samples from patients at seven different times in 12 days' period.Then they claimed that CRP levels and Treg and Teff frequencies did not appear to be oscillatory.
  
 
== Project members: ==
 
== Project members: ==

Revision as of 10:51, 26 October 2016

Project Information:

Topic: Attacking Cancer with Signal Processing

Supervisors:Dr. Andrew Allison

Adviser: Prof. Derek Abbott

Project members:Jin Hu Mohammed Said Al-Wahaibi

Introduction

Cancer is one of the most devastating unsolved medical problems. Only 7% of cancer patients on average have a hope of recovery. New approach to solve the problem is to fight the cancer by strengthening the human body's own immune system, by improving the timing of treatment, using signal processing. CRP is produced by the liver and adipocytes in response to inflammation. People who infected by cancer have a different CRP level comparing to healthy ones. Study showed that the best time to apply the immune therapy is when the CRP level is low.

Motivation and Objectives

The main focus of the project is to improve the existing treatment, by improving the timing. The project uses signal processing to estimate the optimal treatment time. The ultimate goal is that this project will help extending human lives.

Previous Studies

In 2009,Dr. Brendon Coventry and his colleagues used Low-Reactive Protein (L-CRP) test to obtain high sensitivity data of CRP. And they found the CRP levels are periodic with the cycle of 7 days.

In 2014, Dr. Mutsa Madondo and his colleagues did their research ,they used Enzyme-Linked ImmunoSorbent Assay(ELISA) to obtain blood samples from patients at seven different times in 12 days' period.Then they claimed that CRP levels and Treg and Teff frequencies did not appear to be oscillatory.

Project members:

Jin Hu

Mohammed Said Al-Wahaibi