Use of Big Data and AI to Fight Cancer

According to the American Cancer Society, there will be 1.5 million new cancer diagnoses in the United States this year. Research shows that one diagnosis in five is incomplete or incorrect. Following heart disease, cancer is the second most common cause of death in the United States. Cancer is a collection of disease subtypes, each of which is genetically distinct. In the past 20 years, important molecular biology and genetic knowledge have been brought into cancer and treatment options. Observing the remarkable increase in medical knowledge, the opportunities for cognitive computer systems to participate more and more are increasing, doubling every five years.

First of all, the growth of cancer is a digital game. As mentioned earlier, data analysis is important for cancer research. Today's machines and artificial intelligence software companies provide services that can analyze large amounts of data. We are talking about figures most people can not understand. According to AI Software, WorkFusion oversees AI requirements and data points are entered into the program. Since many scientific research centers on accurate data entry and analysis, it is not difficult to distinguish how valuable this is to the scientists working in the laboratory.

The combination of artificial intelligence and big data brings increasingly big advantages to companies and countries already possessing advanced artificial intelligence technologies, research, data, and capital, such as the United States and China. The dynamics of artificial intelligence and big data has led us to a new worldwide digital world order and shifted the balance of power to already dominated technology areas such as Silicon Valley and Shanghai. Therefore, in the order of the potentially new or expanded digital world where data rich places are becoming increasingly plentiful, is Europe? And will Northern Europeans maintain new opportunities and prosper in artificial intelligence? We are now looking to our own area and want to know what accelerated AI development means for both companies and investments. In the next blog "The Present Situation of Artificial Intelligence, Part 2 - Nordic is Wise?", I will explore what is happening, probably not happening.