The Institute of Advanced Study in Science and Technology (IASST) has developed a new computational model that can be potentially used in the early detection of cervical cancer. The Ministry of Science and Technology said that the model can improve the diagnosis of cervical dysplasia or abnormal cell growth on the surface of the cervix by using a method of image processing through a powerful machine learning framework. The findings were published in the journal ‘Mathematics’ by MDPI with the model citing an average accuracy of 98.02 percent. The Ministry highlighted that the model has the potential for practical application in real-world situations with unmatched accuracy while requiring the least amount of computation time. It hopes that the innovative model could revolutionize the detection of cervical dysplasia and provide healthcare professionals with highly accurate tools for better diagnostic precision and improved treatment outcomes.