Could Indian Scientists Revolutionize Cancer Treatment with AI?

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Could Indian Scientists Revolutionize Cancer Treatment with AI?

Synopsis

Discover how Indian scientists have developed a groundbreaking AI framework that could revolutionize cancer treatment by focusing on the molecular characteristics of tumors, paving the way for personalized therapies and improved patient outcomes.

Key Takeaways

  • OncoMark is an AI framework designed for cancer analysis.
  • It evaluates the molecular characteristics of tumors.
  • Achieved over 99% accuracy in testing.
  • Helps identify aggressive cancers earlier.
  • Published in Nature journal Communications Biology.

New Delhi, Nov 26 (NationPress) Researchers at the S N Bose National Centre for Basic Sciences have unveiled an artificial intelligence (AI) framework that promises to transform our understanding and treatment of cancer, opening doors to personalised therapies, as reported by the Ministry of Science and Technology on Wednesday.

This innovative framework, created in partnership with Ashoka University, offers a fresh perspective on cancer—examining it not merely by its size or spread but through its molecular characteristics.

“Cancer is not solely a matter of growing tumours; it is driven by a collection of concealed biological pathways known as the hallmarks of cancer. These hallmarks delineate how healthy cells become malignant: how they proliferate, evade the immune response, and develop resistance to treatments,” the Ministry explained.

For many years, healthcare professionals have depended on staging systems like TNM, which detail tumour size and spread, often overlooking the intricate molecular narrative. This leads to scenarios where two individuals diagnosed with the “same” cancer stage may experience vastly different prognoses.

The newly developed AI framework, named OncoMark, has the capability to interpret the molecular “mind” of cancer and forecast its behaviour, according to the Ministry.

Under the leadership of Dr. Shubhasis Haldar and Dr. Debayan Gupta, the team at S N Bose utilized OncoMark to examine 3.1 million single cells spanning 14 types of cancer.

They generated synthetic “pseudo-biopsies” that encapsulate hallmark-driven tumour states. This extensive dataset enabled the AI to comprehend how hallmarks such as metastasis, immune evasion, and genomic instability collaboratively contribute to tumour progression and resistance to therapy.

“OncoMark demonstrated over 99 percent accuracy in internal evaluations and consistently exceeded 96 percent across five independent cohorts. It was validated using 20,000 real-world patient samples from eight major datasets, showcasing its wide applicability. For the first time, scientists have been able to visualize the escalation of hallmark activity as cancer stages advance,” the Ministry noted.

This groundbreaking framework, featured in the Nature journal Communications Biology, indicates which hallmarks are active in a patient’s tumour, guiding physicians towards treatments that specifically target those processes.

Moreover, it can assist in identifying aggressive cancers that may appear less threatening under traditional staging, facilitating timely interventions, the Ministry concluded.

Point of View

The introduction of the OncoMark AI framework marks a significant leap in cancer research and treatment in India. This innovative approach not only enhances the precision of cancer diagnosis but also aligns with global trends toward personalized medicine. Such advancements underscore India's growing prominence in the scientific community and its commitment to tackling critical health issues.
NationPress
26/11/2025

Frequently Asked Questions

What is the purpose of the OncoMark AI framework?
OncoMark aims to analyze the molecular characteristics of cancer, allowing for a more personalized approach to treatment based on each patient's unique tumor biology.
How accurate is the OncoMark AI framework?
OncoMark achieved over 99% accuracy in internal testing and maintained above 96% accuracy across five independent cohorts, demonstrating its reliability.
What are the implications of this research?
The research could lead to more effective cancer therapies by identifying specific hallmark activities in tumors, ultimately improving patient outcomes.
Who led the research team behind OncoMark?
The research was conducted by a team at S N Bose National Centre for Basic Sciences, led by Dr. Shubhasis Haldar and Dr. Debayan Gupta.
How does OncoMark differ from traditional cancer staging?
Unlike traditional staging systems that focus on size and spread, OncoMark evaluates the molecular personality of tumors, providing deeper insights into their behavior and treatment resistance.
Nation Press