Artificial Intelligence in Cancer Researches
Keywords:
Artificial intelligence, Conventional Practices, Data Repositories, Genomic and Molecular Data, Cloud AI PlatformsAbstract
By the early 19th century, it was commonly used to describe diseases characterized by the uncontrolled growth of abnormal cells. Cancer is one of the leading causes of death worldwide and is responsible for an estimated 9.6 million deaths in 2018 alone. Over the years, the understanding of Cancer has grown, and researchers have identified many of its causes. Factors such as lifestyle, diet, environment, and genetics have been linked to an increased risk of Cancer. As a result, public health organizations are working to reduce the number of cancer cases through awareness campaigns, early detection, and treatment. To reduce the number of cancer cases and fatalities, individuals must practice preventative measures such as healthy eating, regular exercise, and avoiding environmental hazards. It is also essential for individuals to be aware of their risk factors, receives regular screenings, and seek medical attention if any concerning symptoms arise. AI is being used to analyze huge amounts of data from past and current cancer research, enabling researchers to identify patterns in the data that could lead to new treatments and breakthroughs in curing Cancer. AI is also being used to analyze imaging data, allowing for more accurate diagnosis and early detection of Cancer. AI is further utilized to advance cancer treatment, helping develop personalized medicine tailored to individual patients' needs. This review covers Cancer Statistics, Conventional Practices for Cancer Diagnosis and Treatment, AI for Cancer Research, Cancer Data Repositories, Genomic and Molecular Data, Cloud AI Platforms, AI for Cancer Prediction, and AI for Cancer Treatment.
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