Socio – Demographic study of Rupture Hydatid cyst .A clinical study on a sample of Iraqi patients in Al- Muthanna Governorate
December 1, 2025Facilitating radiation leak detection: Designing a low-cost, wearable Geiger-Müller alarm for medical personnel
December 1, 2025Alaa Majeed Raheem1 , Frdos majed jassem2, Fatima Muslim3, Ahmed Ali4
1,2,3,4Department of Medical Physics and Radiotherapy, Technical Engineering College, Sawa
University, Almuthana, Iraq
Abstract
A lot of people still think it’s one of the world’s worst and most dangerous illnesses.Genes are connected
to things outside of cells, like atomic energy, so this can’t just happen. We understand these things better
now than we did before, but we’re still not sure how they help cancers grow and spread. A way for
artificial intelligence (AI) to work is being put together in this work. A lot of different kinds of radiation
can change genes in ways that can cause cancer.
Deep learning and machine learning will be used to look at a huge amount of data about genes, pictures,
and health bills. Find any secret trends to figure out where the trouble is coming from. You can also
use what you know to make guesses about how growth will go in the future. Different types of data are
put into one computer model in this way so that it can learn and get better over time. Results from next-
generation sequencing (NGS), computed tomography (CT), and magnetic resonance imaging (MRI)
come from these tests. They need to trust what they found more this time. This will help them help more
people and find health changes in people that might be early signs of cancer. A lot of computer and
cancer-related data sets are used in this study to show how AI could completely change how cancer care
is offered in a way that is flexible and tailored to each person. They show that AI can help with early
detection and predictions. Not only that, but they also show that AI might make it easier to use data to
make accurate cancer models.
