Research · Our Research

Fifteen themes, worked across the centres

The theme layer is how projects, grants and publications are organised; the centre layer is how capability and people are organised. A theme typically spans several centres, because the most useful questions in oncology rarely belong to one discipline.

image — data visualisation or lab work, 4:3

The fifteen research themes

Each theme has its own page: what it works on, and the principal centres that carry it.

3 centres

AI-Driven Drug Discovery

Generative and predictive AI for therapeutic discovery, repurposing and combination design.

Theme page →3 centres

Blood Tumours

Leukaemias, lymphomas and myeloma — molecular characterisation and monitoring.

Theme page →2 centres

Chromatin Biology & Epigenomics

Epigenetic regulation, chromatin architecture and epigenetic biomarkers.

Theme page →1 centres

Clinical NLP & Knowledge Graphs

Extracting structured knowledge from clinical text and linking it into oncology knowledge graphs.

Theme page →3 centres

Computational Immunology

Immune repertoire, neoantigens, immune evasion and response prediction.

Theme page →2 centres

Digital Pathology & Spatial AI

Deep learning on tissue images and spatially-resolved molecular data.

Theme page →3 centres

Digital Twins & Disease Forecasting

Patient-specific computational models predicting disease course and therapy response.

Theme page →2 centres

In-Silico Clinical Trials

Virtual cohorts, simulated trial design and feasibility modelling.

Theme page →2 centres

Liquid Biopsy & Biomarker Discovery

ctDNA and blood-based markers for detection, monitoring and resistance.

Theme page →2 centres

Population Genomics

Population-scale cancer genomics and India-specific genomic variation.

Theme page →2 centres

Radiomics & Medical Physics

Quantitative imaging features, imaging AI, dosimetry and treatment planning.

Theme page →2 centres

Single-Cell Systems Biology

Single-cell multi-omics and systems-level modelling of tumour ecosystems.

Theme page →3 centres

Solid Cancers

Molecular and translational research across solid tumour types.

Theme page →2 centres

Structural Oncology

Protein structure, molecular dynamics and structure-based drug design.

Theme page →3 centres

Tumour Microenvironment Modelling

Computational modelling of the cellular and immune environment around the tumour.

Theme page →

Clinical and translational research

Alongside the computational centres, the institution runs the clinical research that connects the science to patients — and gives researchers access to real cases, samples and outcomes.

Clinical Trials Unit

Sponsor-led and investigator-initiated trials, biomarker-matched recruitment and feasibility assessment. Trial matching is included inside the molecular report.

Outcomes & real-world evidence

Real-world evidence from Indian practice barely exists. Outcomes and health-services research runs as a standing programme, built on disciplined data capture from services already running.

Browse the centres

Each of the twelve centres has its own profile: methods, data inputs, outputs, funding route and dependencies.

Research centres

AI-Driven Drug Discovery

Generative and predictive AI for therapeutic discovery, repurposing and combination design.