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Mohammad Faisal Uddin, PhD, and Md Shakhawat Hossain, PhD, faculty members of the Department of Computer Science and Engineering (CSE) at IUB, have received a research grant worth BDT 7,85,000 from the Bangladesh government's Ministry of Education for their project to devising a low-cost and time efficient mechanism to detect breast cancer using artificial intelligence (AI).
They received the Grant for Advanced Research in Education for their project "Low-cost and time efficient HER2 (Human epidermal growth factor receptor 2) grading system using artificial intelligence for breast cancer patients".
Education Minister Dr. Dipu Moni, MP, handed over the grant cheque to the team during a program at the International Mother Language Institute, Dhaka on Tuesday, June 20, 2023.
According to the International Agency for Research on Cancer (IARC), at least 13,000 are diagnosed with breast cancer every year and approximately 7,000 of them die in Bangladesh. It requires medical experts to consider multiple complex factors to plan the treatment. HER2 is the most aggressive subgroup of breast cancer.
Mohammad Faisal Uddin, PhD, Associate Professor of CSE, Director of the RIoT Center at IUB, and Principal Investigator (PI) of the project, said, "Currently, the identification of HER2 positive patients is performed using a Fluorescence In Situ Hybridization (FISH) test, which costs over BDT 10,000 and takes 3-5 days to get the result. Such a complex oncology test is impractical in Bangladesh, where a doctor is responsible for at least 1,901 patients and most people cannot afford the expensive oncology care."
Md Shakhawat Hossain, PhD, Assistant Professor of CSE, Head of Medical Imaging and AI at RIoT Center, and Co-PI of the project, said, "This research aims to develop a clinically validated system that will identify the HER2-positive patients in 2-3 hours at a cost of only BDT 300."
breast cancer detection1
Independent University, Bangladesh
