Cancer is a disease in which some of the body’s cells grow uncontrollably and spread to other parts of the body. Cancer is a leading cause of death worldwide, accounting for nearly 10 million deaths in 2020.
The most common causes of cancer death in 2020 were: lung, colon and rectum, liver, stomach and breast. Around one-third of deaths from cancer are due to tobacco use, high body mass index, alcohol use, low fruit and vegetable intake, and lack of physical activity and the remaining two-thirds are due to factors such as genetic factors and age.
Cancer arises from the transformation of normal cells into tumors cells in a multi-stage process that generally progresses from a pre-cancerous lesion to malignant tumors. These changes are the result of the interaction between a person’s genetic factors and three categories of external agents, including: ultraviolet and ionizing radiation, chemical carcinogens and infections from certain viruses, bacteria, or parasites. The economic impact of cancer is significant and increasing.
The total annual economic cost of cancer in 2020 was estimated at US$ 1.16 trillion. To reduce government’s’ annual cancer treatment costs, laboratory methods can be used to detect cancer early. To reduce the annual cost of cancer treatment by governments, in addition to having a healthy lifestyle, laboratory methods can be used to detect cancer-causing genes early, thus preventing some cancers.
All of our data was gathered from credible articles and websites like WHO and CDC and turned to understandable straightforward questions.
Our medical team reviewed more than 350 papers about cancers prevalence, risk factors, and prevention to collect up-to-date data.
Take lung cancer as an example, these are our results from the tests:
From 19 factors that the AI has detected, 15 of them have been proved by credible papers.
Those 4 are some risk factors which there are not any studies about them.
Our goal is to use artificial intelligence to prevent some of the most common cancers that potentially cause death, or to provide a prognosis to family members of a person with cancer so they can estimate how much. He or she may develop a specific type of cancer in the future. Thus, our system, after receiving very brief information, began to learn the genes that are effective in causing the following cancers:
As a result, by collecting samples, it can establish a link between effective genetic factors, age, gender and lifestyle and the likelihood of these cancers. The way our AI works is by determining the results of genetic testing, lifestyle, age and gender to determine how likely a person is to get a particular cancer.