Artificial Intelligence-Enabled Model for Predicting the Metastatic Potential of Cancer Cells
- Authors: Sarbari Acharya1, Chandana Mohanty2
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View Affiliations Hide Affiliations1 Kalinga Institute of Industrial Technology, Bhubaneswar 751024, Odisha, India 2 Kalinga Institute of Industrial Technology, Bhubaneswar-751024, Odisha, India
- Source: Artificial Intelligence Based Cancer Nanomedicine: Diagnostics, Therapeutics and Bioethics , pp 69-77
- Publication Date: May 2022
- Language: English
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Cancer is a deadly and aggressive disease with an abominably low median survival rate. Treatment of the disease is an economic burden long owing to its high recurrence and mortality rates. Metastasis of cancer is one of the reasons for treatment failures, as these metastatic cells are resistant to all types of conventional treatments. Thus early and accurate diagnosis of metastasis is essential to design the course of the treatment regime. Evolutions in statistics and computer engineering over the past decade have encouraged researchers to implement computational methods to analyze the stage and advancement of the disease with precision and accuracy. Furthermore, artificial intelligence (AI), especially machine learning and deep learning, has been implicitly used in medical sectors, including clinical cancer research, in recent years. This article reviews the application of AI to detect cancer metastasis and comprehensively summarizes its advantages.<br>
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