Let’s discuss Artificial Intelligence Benefits in Chemotherapy.
Cancer is the second death causing disease in the world. The death rate due to cancer is very high approximately 9.6 million people died of cancer in 2018. It is easy to prognosis cancer at its initial stage and late-stage cancer might lead to death. There are several ways to cure cancer e.g drugs, surgery, chemotherapy.
Chemotherapy is one of the hot ways to cure cancer. And It is a drug treatment that includes the usage of very powerful chemicals to cure cancer and kill the mutated and abnormal growing cells in the body. Chemotherapy can be used before and after the cancer surgery to reduce the cancer site and also remove the cancer part easily. As powerful chemicals are used in chemotherapy so it may lead to the hazard instead of benefit. There are some common side effects of chemotherapy such as fatigue, bowel issues, nausea, loss of appetite, mouth sore, diarrhea, hair and nail loss, and skin problems. These side effects can be reduced to some extent with the help of Artificial intelligence. We will discuss here how can be artificial intelligence can be used in chemotherapy and reduce the side effects.
Adoption of Artificial Intelligence in Cancer Prevention:
Knowing the risk factors for cancer growth is urgently needed to reduce the future cancer problem. Many of our latest insight into cancer control management comes from cohort studies and new large-scale population labs designed to advance the science around oncology with precision. Given their commitment to improving analysis and treatment consequences, their present reductionist approach may have very little effect on cancer load shifting. Nonetheless, it is possible to adapt these huge data assets to have more influence on the future cancer problem by focusing more on the main anticipation efforts that integrate artificial intelligence and machine learning.
Machine learning learns patterns automatically and can also develop challenging models and processes that advance themselves to predicting big data, revealing new unforeseen interactions and pathways in a coherent and reproducible manner that would otherwise remain hidden because of the nature of big data. Although artificial intelligence has made enormous strides in many fields, there is a lack of potential application in cancer anticipation. Furthermore, this analysis suggests that it may be time to consider the potential of AI in our current cancer control population laboratories, and provides evidence as to why some limited targeted investments can be a strategic opportunity for cancer control to explore its effect on modeling existing data on cancer prevention in real-time.
How chemotherapy can make better through AI?
Using artificial intelligence, we can lead the diagnosis and prognosis of cancer and other genetic diseases to betterment and advancement. Cancer is a genetic disease it happens due to the genetic mutation and the mutation can occur due to environment, lifestyle and inherently. If we control or analysis the genetic mutations, we can overcome the genetic diseases. Artificial intelligence can be helpful in different following ways:
- We can identify and analyze the cancer-oriented genes that lead to cancer.
- Identify the mutation level, cancer stage, and subtype based on that mutation level.
- Personalized drug discovery using the information of the mutated gene extracted by artificial intelligence.
- Measurement of the effect of the personalized drug on specific genes using in silico methods.
- Adverse effect analysis of overdose or some chemical on the patient.
- The recovery rate of the patient by using the personalized drugs vs regular drug used in chemotherapy.
- Monitoring of the patient before and after chemotherapy.
- Generation of new recommended system on the basis of the previous track of chemotherapy.
- Suitability status checking of the genes and chemotherapy chemicals.
Benefits of AI in Chemotherapy:
Of course, Artificial Intelligence has many Benefits in Chemotherapy. Chemotherapy can reduce or shrink cancer, that might support you live longer and help with your indications. Chemotherapy can reduce enough cancer to allow a small number of people with cancer-capable borderline resects to surgically remove cancer. If you have chemotherapy following surgery, the chances of cancer returning may be minimized. With the help of AI You may have more routine check-ups at home and notify your doctor if you have chemotherapy, some people find it helpful.
Chemotherapy is supposed to be as it is commonly known:
- Cure cancer – Chemotherapy will completely destroy the cancer cells until they are no longer detectable. And The operation is said to cure the disease successfully if it does not regrow.
- Treat cancer – By stunting their growth, Chemo can prevent further spreading of cancer cells. Nevertheless, in several cases, the treatment only works for as long as the person undergoes it continuously. Once the treatment has stopped the cancer cells can start to grow again.
- Relieve the symptoms of cancer – Chemo may use specifically to target those cancerous tumors that cause pressure or discomfort in the areas of the affected body.
- Increase vulnerability to infections — Chemo may also use in combination with other types of cancer treatment, such as chemotherapy, cellular therapy, and radiation treatment. Here are the different functions Chemotherapy performs when used in treatment combinations.
- Neo-adjuvant chemotherapy — Chemo may use to shrink a tumor before removal from the surgery.
- Adjuvant chemotherapy — It means that after surgical removal or radiation therapy, the chemotherapy procedure is only used as a follow-up to either kill the cancer cells that were left behind.
AI will never fully replace doctors, but researchers have made impressive strides in developing AI that specializes in specific tasks, such as reading images from CT scans or pathology slides, “says Ryan Schoenfeld, vice president of scientific research at the Mark Foundation for Cancer Research, a philanthropy based in New York City. “I think we will see more progress in this area.
The AI program that helps radiologists diagnose lung cancer in CT scans comes from a company named Aidance, based in Amsterdam. A number of organizations here in the United States are developing cancer-spotting AI systems, many of which have already performed well in trials.
Earlier this year, Google researchers compared their AI in detecting lung cancer from CT scans against six radiologists. The model, which had learned to detect lung cancer by analyzing 45,856 CT scans from the National Cancer Institute (NCI) and Northwestern University, matched the doctors in cases where current and older CT scans of the same patient were analyzed by both the individual and the computer. When no historical images were available and diagnosis relied solely on images taken on a single day, the AI beat the doctors, delivering 11% fewer false positives and 5% less false negatives
fewer false positives and 5% less false negatives.
Current Research Trends:
Current research trends related to cancer and chemotherapy are to find such techniques that can reduce the procedure cost and time with highly accurate results. The researcher is inspiring to develop such recommended systems that can predict the mutation rate in the genome, cancer oriented genes, specific mutation and recommend the personalized chemicals and drugs that will affect the specific patient according to his disease level and genes. The systems that will be able to predict the effect of a specific drug on specific genes with higher confidence. This will lead to better diagnosis and prognosis of cancer as well as genetic diseases. This proves that Artificial Intelligence has many Benefits in Chemotherapy
As a matter of fact Artificial Intelligence has many Benefits in Chemotherapy. The new advances in cancer treatment have provided an entirely recent perspective on how to treat patients with cancer. These advances have contributed to a deeper understanding of the disease. Some of the earlier therapies are still highly valuable but some side effects still occur. Surgery and radiation are very powerful but they target only one particular cancer area. Chemotherapy can target cancerous cells that not just grow throughout the body but have side effects that are extremely toxic. And All these treatments are still in use today and will possibly be in use for some time, but will not be the only form of treatment.
The new molecular-based drugs or immunology therapies are still at a development stage. They’re the first steps towards a modern way of fighting cancer. While originally designed to treat one type of cancer, these new treatments may be adapted to target other cancers. Herceptin, for example, has the ability to treat cancer of the gastric, endometrial, salivary, pancreatic, kidney, colorectal, and non-small cell lungs. Such new target treatments were the first to show the effectiveness and it’s something experts have long been waiting for. These are known as target treatments, since these address the underlying cancer-causing genetic defects. These therapies are therefore certainly based on molecularity. Artificial intelligence can help to identify and treat all the cancer types and provide cancer prevention methods based on past experience.
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