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19-year-old Boy Mustapha Diyanol Haqq Creates System to Detect and Diagnose Breast Cancer

A Ghanaian teenager trained in software programming designed a predictive analytics model that uses artificial intelligence to diagnose breast cancer.

Mustapha Diyanol Haqq, 19, was inspired by big tech companies that use innovation to solve some of the world’s biggest problems.

The predictive model of Mustapha can detect whether a breast cancer tumor is malignant (cancerous) or benign (non-cancerous). It can also detect if a malignant cancer will reappear over a period of time.

The model was tested “using breast cancer datasets containing over 500 malignant and benign tumor cell samples available on the machine learning repository maintained by the University of California, Irvine,” according to Tech TV Africa.

The process of developing this system was not easy for the young man. “We do not have a good Internet connection where we live, so I had to walk for miles to a cyber café where I was able to access free online coding classes . 

“Access to the Internet is expensive, but thanks to the generous support of my parents, I have developed enough coding skills to begin to find solutions to some of the issues that affect our community . 

His parents played a very important role in his success because they had to make sacrifices to enable him to pay for the Internet.

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“Our continent does not benefit from the fixed-line infrastructure of our more developed peers, and the mobile Internet can be expensive. In order for me to learn coding in cyber cafes, my parents had to make sacrifices. Global companies can play an invaluable support role by investing in providing Internet access to our communities to help us prepare for a digital future, “ he added.

Mustapha hopes that his invention will help women across Africa. “I used my knowledge of coding and machine learning to develop a model of breast cancer diagnosis that will be made available to communities across Africa . 

The self-taught inventor is not only interested in developing breast cancer detection models, but also intends to tackle the problems of hunger and food security in Africa.

“Africa relies heavily on smallholder farmers to meet its food production needs. However, much of the agricultural output is deteriorating before it reaches the city markets. I am currently working on a machine learning and AI model that can help reduce post-harvest losses and ensure that our farmers’ work translates into food security for our communities . 

Mustapha is currently an instructor at the Ghana Code Club. With a few friends, they set up coding clubs in several communities, where they teach children and adults how to code. He believes that his innovation, if changed, could be used by doctors around the world to diagnose breast cancer.

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