Role of Artificial Intelligence in Cancer Diagnosis and Drug Development

被引：4

作者：

Srivastava, Shubham ^{[1
]}

Paliwal, Deepika ^{[1
]}

机构：

[1] Galgotias Univ, Sch Med & Allied Sci, Dept Pharm, Greater Noida, Uttar Pradesh, India

来源：

COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING | 2022年 / 25卷 / 13期

关键词：

Cancer; computational approach; artificial intelligence; machine learning; deep learning; drug development; NEURAL-NETWORKS; CLASSIFICATION; SYSTEM; STRATEGIES; PREDICTION; ALGORITHM;

D O I：

10.2174/1386207325666220304112914

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Cancer is a vast form of the disease that can begin in almost any organ or tissue of the body when abnormal cells grow uncontrollably and attack nearby organs. The traditional approaches to cancer diagnosis and drug development have certain limitations, and the outcomes achieved through the traditional approaches applied to cancer diagnosis and drug development are not quite promising. Artificial intelligence is not new to the medical research sector. AI-based algorithms hold great potential for identifying mutations and abnormal cell division at the initial stage of cancer. Advanced researchers are also focusing on bringing AI to clinics in a safe and ethical manner. Early cancer detection saves lives and is critical in the fight against the disease. As a result, as part of earlier detection, computational approaches such as artificial intelligence have played a significant role in cancer diagnosis and drug development.

引用

页码：2141 / 2152

页数：12

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