Histudy is a education website template. You can customize all.
Cancer is a ruthless disease that has no definite cure and it is very consequential to treat it. Chemotherapy and other cancer treatments have lasting negative effects on patients, like fatigue, diarrhea, nausea, and many other harmful side effects. To decrease the time period of vigorous cancer treatments like chemotherapy, cancer should be detected very early. Pathologists and clinicians have used many methods of cancer diagnosis over the years, but to do this, large amounts of data about a patient and their history are needed. This is known as the bioinformatic analysis of cancer cells. Bioinformatics is the act of using biological information to aid in the diagnosis of a disease, which in this case is cancer. When pathologists have diagnosed cancer in the past, the main component of diagnosis was the processing of this biological data, and it still is a major part of diagnosis today. With the rise of new technologies, Artificial Intelligence has been brought into the medical limelight and has been used extensively in the medical field to process the abundance of this data in recent years. With the use of Artificial Intelligence, the analysis speed of data used to diagnose cancer is higher than if pathologists alone analyzed the data. This paper focuses on the processing of bioinformatic data in pathologists’ cancer diagnosis workflow.
By: Ayush Yavagal