Twelve specialist centres, in the same institution as the patients
Computational and translational oncology — models, algorithms and evidence built for Indian patients. Funded non-dilutively by grants, tenders and industry programmes rather than by patient revenue.
Digital Twins & Predictive Oncology
Computational replicas of a tumour that forecast behaviour and likely response before decisions are taken in clinic.
Centre profile →Single-Cell Multi-Omics & Systems Biology
Studying cancer one cell at a time — the heterogeneity that explains why treatments fail.
Centre profile →Digital Pathology & Spatial AI
Deep learning on digitised pathology and spatial molecular data, to detect, grade and predict molecular features.
Centre profile →Computational Immunology & Precision Immunotherapy
Modelling immune repertoires and immune-related markers to predict who benefits from immunotherapy.
Centre profile →Generative AI & Computational Drug Discovery
Designing and prioritising candidate molecules in silico, compressing the early discovery cycle.
Centre profile →Oncological Databases, Knowledge Graphs & HPC
The structured oncology databases, knowledge graphs and compute every other centre depends on.
Centre profile →Liquid Biopsy & Translational Clinical Genomics
Circulating tumour DNA and serial monitoring — what blood can tell us that a biopsy often cannot.
Centre profile →Computational Radiomics & Medical Physics
Quantitative features from CT, MRI and PET, linked to molecular and clinical outcomes.
Centre profile →Structural Oncology & Molecular Biophysics
Structural modelling and simulation of cancer-related proteins — why a given mutation matters.
Centre profile →Computational Epigenomics & Chromatin Biology
Methylation, chromatin accessibility and genome architecture — the strongest route to solving cancer of unknown primary.
Centre profile →In-Silico Clinical Trials & Real-World Evidence
In-silico trial methods and evidence from Indian practice, as a governed consumer of the data platform.
Centre profile →Population Genomics & Cancer Epidemiology
Indian cancer genomics is under-represented in global datasets. This centre addresses that directly.
Centre profile →Where a centre depends on molecular data or assays, that dependency runs via OnKommon — a genuine domain boundary, not a formality.
Digital Twins & Predictive Oncology
Computational replicas of a tumour that forecast behaviour and likely response before decisions are taken in clinic.
About the centre02Coming soonSingle-Cell Multi-Omics & Systems Biology
Studying cancer one cell at a time — the heterogeneity that explains why treatments fail.
About the centre03Coming soonDigital Pathology & Spatial AI
Deep learning on digitised pathology and spatial molecular data, to detect, grade and predict molecular features.
About the centre04Coming soonComputational Immunology & Precision Immunotherapy
Modelling immune repertoires and immune-related markers to predict who benefits from immunotherapy.
About the centre05Coming soonGenerative AI & Computational Drug Discovery
Designing and prioritising candidate molecules in silico, compressing the early discovery cycle.
About the centre06NowOncological Databases, Knowledge Graphs & HPC
The structured oncology databases, knowledge graphs and compute every other centre depends on.
About the centre07NowLiquid Biopsy & Translational Clinical Genomics
Circulating tumour DNA and serial monitoring — what blood can tell us that a biopsy often cannot.
About the centre08Coming soonComputational Radiomics & Medical Physics
Quantitative features from CT, MRI and PET, linked to molecular and clinical outcomes.
About the centre09Coming soonStructural Oncology & Molecular Biophysics
Structural modelling and simulation of cancer-related proteins — why a given mutation matters.
About the centre10Coming soonComputational Epigenomics & Chromatin Biology
Methylation, chromatin accessibility and genome architecture — the strongest route to solving cancer of unknown primary.
About the centre11Coming soonIn-Silico Clinical Trials & Real-World Evidence
In-silico trial methods and evidence from Indian practice, as a governed consumer of the data platform.
About the centre12Coming soonPopulation Genomics & Cancer Epidemiology
Indian cancer genomics is under-represented in global datasets. This centre addresses that directly.
About the centre