Deep Neural Networks Help Beat Cancer in Kolkata
By Disha Ganguli  |  Nov 10, 2021
Deep Neural Networks Help Beat Cancer in Kolkata
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There has been a rapid rise in technological developments over the past decade, especially in the domain of artificial intelligence, with the healthcare industry in particular one of several industries basking in its boons. Disha Ganguli discusses AI advancement in relation to rising cancer rates and the loopholes still to be filled.

KOLKATA - Even though high-end technologies have demonstrated promising potential in countering the most complex diseases, Kolkata in India, still lags woefully behind the developed world in having a strong artificial intelligence (AI) integrated healthcare infrastructure. In Kolkata, cancer rates are on the rise, and it continues to kill, primarily because of the lack of concrete technological integrations.

Before diving deep into the core of the matter and the solutions to usher in a technological renaissance in Kolkata’s healthcare infrastructure, it is important to understand the status of cancer in India as a whole. 

Cancer rates skyrocketed in India last year. For people to die of cancer is a bizarre phenomenon in an age of industrialization, science, technological advancements, and hyper-modernization. The latest cancer report released by the Indian Council of Medical Research and the National Centre for Disease Informatics and Research, confirmed the sharp escalation of cancer rates in the country. Around 38.5 percent of Indians - mostly women - develop cancer in their lifetimes, the World Health Organization and its specialist International Agency for Research on Cancer stated in a 2018 report. 

The six most common types of cancer in India are: 

- Breast cancer- 162,500 cases 

- Oral cancer- 120,000 cases

- Cervical cancer- 97,000 cases

- Lung cancer- 68,000 cases 

- Stomach cancer- 57,000 cases 

- Colorectal cancer- 57,000 cases 

- Esophageal cancer- 34,000 cases

There has been a recent sharp increase in the different types of cancers listed above. Demographical, geographical, and anthropological reasons are

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