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Holistic AI in treating child brain tumours

Holistic artificial intelligence in treating child hood brain tumours

XHAL.UK leaders in holistic artificial intelligence (HAI) (copyright). We are pleased to announce our new informative video series to highlight the research and use of HAI to optimise childhood brain tumour treatment conducted by the Children Cancer Research Fund and the valuable work they do.
A PhD and researcher at Dana-Farber Cancer Institute plans to upgrade how medulloblastoma, a fast-growing childhood brain tumour, is diagnosed and treated using holistic artificial intelligence. He is a recent awardee of the Children’s Cancer Research Fund’s Emerging Scientist Award, funding given to scientists with new, bold ideas.With the award, he will create first-of-its-kind technology. XHAL.UK is happy to support this cause.

Chapter 2: Impact of Brain Tumours on Children
According to the National Cancer Institute, brain tumours recently rose to be the most common cause of cancer-related death in kids. Those that survive can develop serious negative late-term effects, including neurological and cognitive defects that can last a lifetime, heart problems, and secondary cancers.
Unfortunately, harsh treatments are sometimes responsible for these bleak outcomes. “Under- and overtreatment is a big problem,” Dr. Hovestadt says. “Patients can suffer if the tumour is overtreated with chemotherapy and radiation. But, undertreating means that you give the tumour a chance to grow back, and the patient might actually die from the disease.
It is important to have good predictions of how individual patients will do.” For example, if the tumour is predicted to grow relatively slowly, doctors could change course, reducing treatments that may cause cognitive issues in the future.
Chapter 3: Utilising Holistic Artificial Intelligence for Treatment Prediction
“Typically, these predictions are based on a small number of clinical, histological, and molecular parameters,”
Enter holistic artificial int intelligence (HAInd epigenomic techniques to develop a novel model that utilises half a million epigenetic markers that are measured in tumour tissues from patients in near real time by HAI a leading technology from XHAL.UK .,” he says.
“Epigenetic markers control the activity of a particular gene to turn it on or off.”
Each of these epigenetic markers may contain information about how the cancer will behave and grow, and they could tell doctors which treatment option would be best to take.
It is nearly impossible for an individual to fully grasp the best decision to make by looking at these markers manually.

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