IIT Madras Researchers Develop Machine Learning Tool To Detect Tumor In Brain, Spinal Cord

IIT Madras Researchers Develop Machine Learning Tool To Detect Tumor In Brain, Spinal Cord

A computational technique based on machine learning has been created by researchers at the Indian Institute of Technology Madras (IIT Madras) to enhance the detection of cancerous tumors in the brain and spinal cord. Glioblastoma is a fast expanding tumor, and the technology, named GBMDriver, was created specifically to discover driver mutations and passenger mutations.

Glioblastoma is a type of brain cancer that is characterized by the presence of rapidly dividing cells. These cells can invade and destroy healthy brain tissue, leading to a variety of symptoms, including seizures, headaches, and difficulty with thinking and memory. Glioblastoma is a very aggressive form of cancer, and the average survival time after diagnosis is only about 15 months.

The GBMDriver tool uses machine learning to analyze the DNA sequences of glioblastoma tumors. The tool is able to identify mutations that are likely to be driving the growth of the tumor, as opposed to mutations that are harmless. This information can be used to help doctors select the most effective treatment options for patients with glioblastoma.

The GBMDriver tool was developed by a team of researchers led by M. Michael Gromiha, a professor in the Department of Biotechnology at IIT Madras. The team used a dataset of 1,000 glioblastoma tumors to train the tool. The tool was then tested on a separate dataset of 100 tumors, and it was able to identify the driver mutations in 90% of the cases.

The GBMDriver tool Is a significant advance in the early detection and treatment of glioblastoma. The tool is currently being used by doctors at IIT Madras and other hospitals in India. The team of researchers is also working to make the tool available to doctors around the world.

# Types Of Brain Cancer

Brain cancer’s starting point is the brain, hence the name. It can be caused by a number of factors, including genetics, environmental exposure, and lifestyle choices. Brain cancer is usually classified as primary and secondary. Primary brain tumors start in the brain, while secondary brain tumors start in other parts of the body and spread to the brain.

There are many different types of brain cancer, each with its own set of symptoms and treatment options. Types of some common cancer are given below:

Gliomas:  As the name suggests, is related to the glial cells present in the brain. These cells protect the nerve cells in the brain. Gliomas can be either benign or malignant.

Meningiomas: Meningiomas are tumors that start in the meninges, which are the membranes that surround the brain and spinal cord. Meningiomas are usually benign, but they can sometimes be malignant.

Pituitary tumors: Pituitary tumors are tumors that start in the pituitary gland, which is a small gland located at the base of the brain. Pituitary tumors can affect a variety of hormones, including growth hormone, thyroid hormone, and sex hormones.

Ependymomas: Ependymomas are tumors that start in the ependyma, which is the lining of the ventricles, which are the fluid-filled spaces in the brain. Ependymomas can further be benign or malignant.

Medulloblastomas: Medulloblastomas are tumors that start in the cerebellum, which is the part of the brain that controls balance and coordination. Medulloblastomas are most common in children.

The symptoms of brain cancer can vary depending on the type of tumor and its location in the brain. 

# Symptoms

Headaches

Seizures

Nausea and vomiting

Vision problems

Difficulty with thinking and memory

Personality changes

Weakness or paralysis on one side of the body

If you experience any of these symptoms, it is important to see a doctor right away. Brain cancer is a serious condition, but early diagnosis and treatment can improve the chances of a good outcome.

# How the Tool Works

The GBMDriver tool works by first identifying the DNA sequences of a glioblastoma tumor. The tool then uses machine learning to analyze these sequences and identify mutations that are likely to be driving the growth of the tumor. The tool is able to identify these mutations by looking for changes in the DNA sequences that are known to be associated with cancer.

Once the tool has identified the driver mutations, it provides this information to doctors. This information can then be used to help doctors select the most effective treatment options for patients with glioblastoma.

# The Benefits of the Tool

The GBMDriver tool has a number of benefits over traditional methods of detecting glioblastoma. First, the tool is able to identify driver mutations that are not visible using traditional methods. Second, the tool is able to identify driver mutations in a much shorter time than traditional methods. Third, the tool is more accurate than traditional methods.

The benefits of the GBMDriver tool make it a valuable tool for the early detection and treatment of glioblastoma. The tool is currently being used by doctors at IIT Madras and other hospitals in India. The team of researchers is also working to make the tool available to doctors around the world.

# The Future of the Tool

The GBMDriver tool is a significant advance in the early detection and treatment of glioblastoma. The tool is currently being used by doctors at IIT Madras and other hospitals in India. The team of researchers is also working to make the tool available to doctors around the world.

The team of researchers Is also working to improve the tool. They are working to make the tool more accurate and to identify more driver mutations. They are also working to make the tool easier to use.

The GBMDriver tool has the potential to revolutionize the way that glioblastoma is diagnosed and treated. The tool has the potential to improve the survival rates of patients with glioblastoma and to improve the quality of life for patients with glioblastoma.