“Oncology through Artificial intelligence, a hope to cure cancer”
Oncology: Oncology is a branch of medicine that deals with the prevention, diagnosis, and treatment of cancer.
Artificial intelligence holds great promise for improving healthcare delivery through automation and machine learning that leads to better care paths and streamlined process efficiencies. In the recent development, Scientist has used artificial intelligence to predict how cancer progress and how serious it is.
Cancer the demon:
The current world population is 7.7 billion as of October 2018. Providing health services manually to that big size population seems to be an impossible task.
In that impossible zone, there is a serious threat growing exponentially day by day is cancer. Cancer is a complex and uncontrollable beast that mutates and changes the goalposts before you get into the politics and economics surrounding the issue. Treating cancer is a race against time. Each moment which passes is an opportunity for it to spread and become untreatable.
problems doctor’s face today while treating cancer :
How long it takes for radiation therapy plans to be created today can take days. Individual maps need to be created for each patient to determine where tumors need to be targeted.
Ever-changing nature of tumors was one of the biggest challenges in treating cancer-with cancers often evolving to a drug-resistant form.
This lengthy process is frustrating for the patient, their loved ones, and medical professionals who’d love nothing more than to spend time-saving lives instead of creating plans.
Before talking about why there is a serious push need for cancer treatment: Let’s discuss some worldwide facts of cancer
According to the cancer search org UK.
“In 2012, an estimated 14.1 million new cases of cancer occurred in worldwide. Four most common cancer occurring worldwide are lung, female breast, bowl, and prostate cancer, these four account for around 4 in 10 all cancers diagnosed worldwide.
In 2012, an estimated 8.2 million people died from cancer worldwide.”
The number of cancer patients is growing exponentially as of now in 2018 this number grows to estimated 18 million cancer cases around the world in 2018, of these 9.5 million cases were in men and 8.5 million in women.
With this growing global burden, prevention of cancer is one of the most significant public health challenges of the 21st century. Read more about Global cancer statistics.
Here the Role of artificial intelligence comes in action using AI, this whole process of cancer detection can be fast-forwarded from days to hours.
Why is artificial intelligence relevant in oncology?
Oncologists have been trying for decades to define small subsets of cancer patients that can benefit from a specific treatment. However, the success of targeted therapies has so far been limited. At the moment, medical doctors are overcrowded with data from imaging, genomics, co-morbidities, and previous treatments.
This is where AI comes into play. The technology has the potential to crunch the data to predict the prognosis of the patient and advise doctors with different options available, including personalized medicine and clinical trials with experimental therapies.
Artificial intelligence has the potential to draw insights from tremendous volumes of real-world data and apply it to the design of clinical trials, which could reduce significantly the cost. Especially given that patient recruitment alone represents about 30% of the total clinical trial time.
What Wizard's says:
Dr Andrea Sottoriva, who led the study and is a team leader in evolutionary genomics and modeling at the ICR, said: “We’ve developed a powerful artificial intelligence tool which can make predictions about the future steps in the evolution of tumors based on certain patterns of mutation that have so far remained hidden within complex data sets.
“With this tool, we hope to remove one of cancer’s trump cards – the fact that it evolves unpredictably, without us knowing what is going to happen next.
“By giving us a peek into the future, we could potentially use this AI tool to intervene at an earlier stage, predicting cancer’s next move.
Professor Paul Workman said: “Cancer evolution is the biggest challenge we face in creating treatments that will work more effectively for patients.
“If we are able to predict how a tumor will evolve, the treatment could be altered before adaptation and drug resistance ever occur, putting us one step ahead of cancer.”
Challenges to overcome
Data scientists have to deal with unstructured electronic health records, and data coming from multiple sources that have been collected and structured for different purposes. Most routine databases do not have sufficient quality to be used by AI algorithms to achieve the quality standard required for clinical trials.