Detection of blood cancer Acute Myeloid Leukemia using AI

Viplov Jiwnani, Monika Bhatt


Acute Myeloid Leukemia(AML) is a common forms of blood cancer . It can be fatal disease unless and until it is treated correctly with early diagnosis . It is the most critical disease in children and adults .

Leukocytes ,produced in the bone marrow , make up around one percent of all blood cells . Due to uncontrolled growth of these white blood cells , leads to the birth of blood cancer . The approach is based on the analysis of the gene activity of cells found in the blood . To detect cancer , requires large amounts of data , we evaluated data on the gene activity of blood cells . Numerous studies have been carried out on this topic and the results are available through databases. Thus there is an enormous data pool . We have collected everything which is currently available .

A fast inversion technique i.e. Quasi newton method is used for the interpretation of data is used . We use this method when we have to compute at every iteration . We use this newton method to compute the number of white blood cells present in the bone marrow .


Acute Myeloid Leukemia, blood cancer, diagnosis, technique, cells

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