Using Genomic DNA Sequencing Technology, With an Accuracy of 99.4% A Study at UoB Employs Modern Technology for Early Detection of Cancerous Tumors

Sakhir – University of Bahrain – Mansoor Al-Wani
18 January 2022
The results of a technical study conducted at the University of Bahrain (UoB) showed the possibility of early detection of cancerous tumors, and the possibility of predicting the presence of these cells in the human body with an accuracy of 99.4%.
The study indicated that this detection is done by employing a modern technology called the Next Generation Sequencing (NGS), a technique that relies on artificial intelligence in converting genetic sequence data in individuals’ DNA into numbers and medical indicators.
Researcher Marwa Assem Latif, who submitted the study as a requirement for a master’s degree in Information Technology, said: ” This study focuses on the prediction and classification of different types of cancer, based on the use of databases for three types of cancer tumors that can be found in: colon, lung, and breast implants, tested using developed models, and the results were interpreted and validated.
The study showed that the proposed experimental results predict and classify cancerous tumors with high efficiency and accuracy, and discover the genes that most likely lead to the development of a particular type of cancer in the future, compared to the latest studies in this field.
Also, the study found that the problem lies in the fact that the cancerous tumor is often not detected in the early stages, but after a long period of time, in which case the treatment is more complicated, and sometimes not possible.
The researcher stated that “The need for an effective solution to detect the location of the tumor and the type of cancer at an early stage is essential, lest the tumor spread from its original site to different parts of the body, which makes its treatment difficult, due to mutations that occur in the genetic sequence of the DNA”.
The discussion committee consisted of: Dr. Alaa Yousef Al-Omari, Associate Professor in the Department of Computer Engineering, as an internal examiner, and Prof. Dr. Mohammed Ghazal, from Abu Dhabi University, as an external examiner, and the study was supervised by Dr. Riadh BinMohammed Ksantini, Associate Professor in the Department of Computer Engineering, and Dr. Fatima Abdulqader Al-Balochi, Assistant Professor at the Department of Computer Science at UoB.

• 
• 
• 
•