Indian Innovation Reshapes Cancer Diagnostics with OncoMark

Breakthrough in Indian Cancer Research

Indian Innovation Reshapes Cancer Diagnostics with OncoMark: Indian researchers have introduced OncoMark, an advanced AI-driven framework designed to analyse cancer through its molecular behaviour. This marks a major leap in India’s precision medicine capabilities, shifting focus from broad cancer staging to data-rich molecular insights. The model was developed jointly by the S N Bose National Centre for Basic Sciences and Ashoka University, placing Indian institutions at the forefront of computational oncology.

The framework moves beyond traditional classifications by decoding biological hallmarks that determine how tumours grow, spread, and respond to therapies. Static GK fact: India established its first national cancer registry in 1981 to map disease trends across regions.

How OncoMark Works

OncoMark uses machine learning to detect hallmark-based biological programs embedded within cancer cells. These hallmarks include genomic instability, immune system evasion, metastasis potential, and uncontrolled proliferation. Each hallmark represents a specific process that drives tumour aggression or resistance.

While conventional TNM staging assesses tumour size and spread, this framework examines the cancer’s internal mechanisms at a molecular and cellular level. This allows clinicians to tailor treatments with higher precision. Static GK Tip: The TNM classification system is maintained by the Union for International Cancer Control (UICC).

Data Powering the AI Model

The model was trained on an extensive dataset of 3.1 million single cells representing 14 different cancer types. The researchers also used synthetic pseudo-biopsies to capture dynamic tumour progression patterns. This helps the tool interpret how hallmark activity changes across stages of growth or therapy response.

During internal evaluation, the framework recorded over 99% accuracy, while maintaining more than 96% accuracy across external patient datasets. These results underline the model’s reliability in real-world clinical environments. The validation included 20,000 patient samples from eight distinct cancer datasets.

Core Achievements and Capabilities

OncoMark’s biggest strength lies in its ability to visualise hallmark activity as the tumour evolves. This helps clinicians predict disease aggression, therapy resistance, and potential metastasis early. Such insights can guide decisions on chemotherapy, immunotherapy, or targeted drug regimens.

The tool also supports early diagnosis by detecting subtle changes in tumour biology that may not appear in routine imaging. Its molecular-level mapping provides deeper clarity for personalised treatment strategies. Static GK fact: India has over 38 regional cancer centres that support treatment and research across states.

Role in Advancing Personalised Therapy

Personalised cancer therapy relies on understanding the unique molecular pattern of each tumour. OncoMark strengthens this approach by offering an interpretable AI model that highlights which hallmarks dominate a patient’s cancer. This can help oncologists determine which drugs may work best or identify pathways that require targeted inhibition.

As India expands its digital health infrastructure, such AI-based systems can significantly enhance diagnostic accuracy, especially in tertiary hospitals and research centres. The framework also aligns with global efforts to improve precision oncology, making India a strong contributor to international cancer research.

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Indian Innovation Reshapes Cancer Diagnostics with OncoMark: