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Review Article


Artificial intelligence in fighting cancer: A short review and trends

Jovan David Rebolledo-Mendez
Department of Biological Systems, Okinawa Institute of Science and Technology, Japan
Corresponding Author:

Jovan David Rebolledo-Mendez

Department of Biological Systems, Okinawa Institute of Science and Technology, Japan
E-mail: contact@jovandavid.org

Corresponding Author:

Jovan David Rebolledo-Mendez

Department of Biological Systems, Okinawa Institute of Science and Technology, Japan
E-mail: contact@jovandavid.org

DOI:10.18203/issn.2456-3994.IntJMolImmunoOncol20172640

ABSTRACT


The current trends of artificial intelligence (AI) and machine learning, specifically the amazing success achieved by artificial refurbished neural network architecture deep learning (DL), algorithms used like in alpha go, could greatly benefit cancer detection, personalized cancer treatment, and cancer drug discovery. New models like DL have recently arrived and are offering a leap step into classifying cancer types and even potential drug discoveries. These targeted AI will continue emerging and will build up toward the final fight of cancer: When AI, with the help of advance sensors that will provide data, can diagnosis cancer in stage zero.
Keywords: Artificial intelligence, Classification methods, Applied computer science, A.I. for good, Information systems for medical applications