Cancer prediction using RNA sequencing and deep learning

Alok Dubey; Sheetal Mujoo; Shaikh Abdul Hannan; Gargibala Satpathy; Muhammad Waqas Arshad; E. Manikandan

doi:10.53730/ijhs.v6nS8.13318

Authors

Alok Dubey
dentaalok@yahoo.com
Associate professor, Department of Preventive Dental Sciences, College of Dentistry, Jazan University, Jazan, Saudi Arabia
Sheetal Mujoo Assistant professor, Division of Oral medicine & Radiology, College of Dentistry, Jazan University, Jazan, Saudi Arabia
Shaikh Abdul Hannan Assistant Professor, Department of Computer Science and Information Technology, Albaha University, Albaha, Kingdom of Saudi Arabia
Gargibala Satpathy Central Research Laboratory, Sree Balaji Medical College & Hospital (SBMCH), Bharath Institute for Higher Education & Research (BIHER), Bharath University, Chennai, Tamil Nadu, India
Muhammad Waqas Arshad Research Scholar, Dept of Creative Technologies, Air University, Islamabad, Pakistan
E. Manikandan Central Research Laboratory, Sree Balaji Medical College & Hospital (SBMCH), Bharath Institute for Higher Education & Research (BIHER), Bharath University, Chennai, Tamil Nadu, India & Solid-State Nanoscale Laboratory, Dept. of Physics, Thiruvalluvar University, Vellore, India

Keywords:

cancer, RNA sequencing, deep learning, prediction, prognosis, artificial neural network

Abstract

Numerous areas of medical services, including as imaging diagnostics, advanced pathology, emergency clinic confirmation prediction, drug plan, grouping of cancer and stromal cells, specialist help, and so forth, have profited from the utilization of deep learning. Cancer prognosis involves predicting the course of the disease, the likelihood that it will spread and recur, and the likelihood that patients will survive. The clinical management of cancer patients will considerably benefit from the precision of cancer prognosis prediction. To better forecast cancer prognosis, modern statistical analysis and Deep learning techniques are being applied, as well as biomedical translational research being improved. In recent years, the processing capacity has significantly increased and the innovation of artificial insight, especially deep learning, has advanced quickly. Cancer is the leading reason for death in people. As a result, cancer detection is essential for early diagnosis and provides the best chance for treating cancer patients in a secure and efficient manner. It is, however, the trickiest way to increase the likelihood of the person surviving. RNA sequencing has significantly advanced in the last few decades and is now a crucial method for transcriptome profiling.

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