|M.Sc Student||Elias Avithal|
|Subject||Statistical Analysis of Particle Transport and Interactions|
in Metastatic Cancer
|Department||Department of Electrical Engineering||Supervisors||Professor Emeritus Yoram Baram|
|Professor Daphne Weihs|
|Professor Emeritus Noah Lotan|
|Full Thesis text|
Cancer is a broad group of diseases which involves growth of tumor. There are more than 200 different types of cancer originating in 60 different organs. Cancer statistics show that one in four death case in United States is due to cancer. Cancer cells can spread to other body parts, a process known as metastasis and is responsible for 90% deaths due to cancer. There are many methods for treatment of cancer, but none guarantees 100% recuperation. Cancer not only has a toll on a patient's health but also on the socioeconomic environment.
Early diagnosis and detection is indeed the main step in the effective treatment for cancer. Much research is being done on biochemical signatures, mechanics and motion characteristics of cancer cells. To understand the motion characteristics of intra cellular particles inside cancer cells better a new general motion analysis model was developed. The model was tested on basic modes of motion and results are discussed in detail. The other part of the project is to develop a new therapeutic modality to bring down the cost of the treatment of cancer by slight modification in one of the existing methods. The feasibility and conditions to bring down the cost is discussed, using mathematical tools.