Health & Biomedical Research   |   Core Project   |   National (IISc-based)

Advanced analytics and AI infrastructure to unlock research potential from the Centre for Brain Research’s rich health datasets.

Overview

A secure, scalable Data and AI platform built with IISc’s Centre for Brain Research (CBR) to make its large structured and unstructured datasets, including longitudinal cohort and neuroimaging data, usable for advanced analytics, AI, and ML research while protecting sensitive health data.

Partners

Centre for Brain Research
(CBR)

IISc

CDPG

(architecture and platform development)

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Objectives

  • Unify CBR's diverse structured and unstructured datasets into a single, catalogued Data Lakehouse.
  • Enable advanced analytics and AI/ML research on biomedical and neuroimaging data.
  • Build an MLOps framework to support scalable deep-learning and statistical workflows.
  • Protect sensitive research data through strong access controls and secure compute environments.

Key Features

  • Data Lakehouse architecture cataloguing and unifying diverse biomedical data sources.
  • MLOps framework leveraging CBR's on-premise high-performance compute and GPU infrastructure.
  • Privacy-preserving mechanisms: role-based access control, audit trails, secure sandboxes, and confidential compute environments.
  • Vector database support for intelligent search and retrieval over imaging data.

Use Cases

Vectorisation of MRI images enabling intelligent, similarity-based search and retrieval, BRAID’s flagship use case.

Longitudinal cohort analysis for brain-ageing and neurodegenerative-disease research.

Deep-learning model training on neuroimaging and clinical datasets within a governed, secure compute environment.

Cross-study data harmonisation, letting researchers query across previously siloed CBR datasets.

Data / Datasets Available

Structured clinical/cohort data and unstructured neuroimaging (MRI) data from CBR’s ageing and brain-health research programmes. Access is restricted to CBR-affiliated and approved researchers under strict privacy controls, not a public dataset.

Our Role

CDPG leads architecture and development of the full stack, data exchange layer, MLOps infrastructure, and secure applications layer.

Impact

Active collaboration supporting CBR’s longitudinal brain-health and ageing research at national scale.