IIT Madras Researchers Develop Tool To Detect Tumor

Researchers at the Indian Institute of Technology Madras developed GBMDriver, a machine learning-based computational tool, to improve the detection of tumours that cause cancer in the brain and spinal cord. The tool’s primary purpose is to discover driver and passenger alterations in glioblastoma, a rapidly developing tumour. This tool is completely free.

What Is The Development Of GBMDriver?

While analysing 9386 driver mutations and 8728 passenger mutations in glioblastoma, the researchers considered various factors such as amino acid properties, di- and tri-peptide motifs, conservation scores, and Position Specific Scoring Matrices (PSSM).

Its Accuracy In Detection

GBMDriver was proven to be more accurate than existing computational approaches in finding driver mutations in glioblastoma, with an accuracy of 81.99%. The researchers revealed that the technique is solely reliant on protein sequencing, and they identified the critical amino acid features that distinguish cancer-causing mutations.

Potential Impact On Cancer Treatment

GBMDriver, according to the researchers, may help in prioritising driver mutations in glioblastoma and finding possible therapeutic targets, which could benefit in the development of drug design techniques. Despite substantial research on glioblastoma tumours, just a few therapy options are now available, and the projected survival rate after diagnosis is fewer than two years.

GBMDriver’s Future Potential

The present approach, according to Medha Pandey, a PhD student at IIT Madras, can be effective in finding therapeutic targets and prioritising driver mutations in glioblastoma. The development of GBMDriver has the potential to find novel treatment targets and improve the prognosis of people with glioblastoma.

IIT Madras Researchers Develop Machine Learning Tool To Detect Tumor In Brain & Spinal Cord – FAQs

Q1: What is GBMDriver?

Ans: GBMDriver is a machine learning-based computational tool developed by researchers at the Indian Institute of Technology Madras to aid in the detection of brain and spinal cord tumours that cause cancer. The major goal of the technology is to identify driver and passenger changes in glioblastoma.

Q2: What factors did the researchers consider while developing GBMDriver?

Ans: While analysing 9386 driver mutations and 8728 passenger mutations in glioblastoma, the researchers considered various factors such as amino acid properties, di- and tri-peptide motifs, conservation scores, and Position Specific Scoring Matrices (PSSM).

Q3: What potential impact can GBMDriver have on cancer treatment?

Ans: GBMDriver may help in prioritising driver mutations in glioblastoma and finding possible therapeutic targets, which could benefit in the development of drug design techniques. Despite substantial research on glioblastoma tumours, just a few therapy options are now available, and the projected survival rate after diagnosis is fewer than two years.

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IIT Madras Researchers Develop Machine Learning Tool To Detect Tumour In Brain & Spinal Cord