{{ r.n }}Cross-cutting
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Curated biospecimens
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Characterised AMR isolates
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Research programmes
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Founding hospitals
25,000+
Curated biospecimens
10,000+
Characterised AMR isolates
12
Research programmes
4
Founding hospitals
An emerging national research resource
A foundation already in place
An established clinical network, research expertise and curated resources were brought into one framework, built for national expansion.
Curated biospecimens
25,000+ ethically curated biospecimens, held in active storage.
AMR repository
10,000+ characterised antimicrobial-resistance isolates.
Research infrastructure
Modern laboratories, including BSL-1 and BSL-2 facilities and a Central Research Instruments Facility.
Clinical network
Sri Sathya Sai healthcare institutions providing a clinical base for recruitment and translational research.
Translational track record
Established work in AMR, AI-enabled diagnostics, cardiovascular biomarkers and regenerative medicine.
Institutional governance
Established Institutional Ethics Committee and Institutional Biosafety Committee.
Research areas
From common diseases to complex and uncommon disorders
Each programme links clinical phenotypes, biospecimens, imaging and molecular data, and builds on a defined clinical strength.
Non-communicable diseases
Communicable diseases
{{ r.n }}Cross-cutting
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Research areas
From common diseases to complex and uncommon disorders
Each programme links clinical phenotypes, biospecimens, imaging and molecular data, and builds on a defined clinical strength.
Non-communicable diseases
01
Cardiovascular
Biomarkers across heart and vascular disease.
02
Breast Cancer
Imaging, biospecimens and molecular data for earlier detection.
03
Neuroscience
Deep phenotyping of neurodegenerative disease.
04
Diabetes & Metabolism
Diabetes and metabolic disease.
05
Obesity & Comorbidities
Obesity and its comorbidities.
06
Renal Health
Urological and renal disease, from recurrent infection onward.
07
Vision
Retinal imaging linked to biospecimens and data.
08
Bone & Joint
Musculoskeletal tissue biology to surgical outcomes.
09
Women's Health
Perinatal, antenatal and women’s health.
10
Rare Disorders
Uniting rare cases across the national network.
11
Regenerative Medicine
Amnion-based regenerative and tissue research.
Communicable diseases
12
Infectious Disease
Pathogen, genome and resistance linked to patient outcomes.
Across every programme
Cross-cutting platforms
BiomarkersDiagnosticsAI & predictive modelsTherapeuticsMultiomicsRegenerative medicineTechnology validation
The power of integration
More than a collection of samples
The value lies in connecting several layers of information around each patient.
Patientat the centre
Clinical phenotype
Biospecimens
Multiomics & imaging
Longitudinal data
Clinical phenotype
Diagnosis, investigations, treatment and outcomes.Biospecimens
Blood, serum, plasma, DNA, tissues and pathogen specimens.Multiomics & imaging
Imaging with genomics, transcriptomics, proteomics and biomarkers.Longitudinal data
Progression, treatment response and recurrence over time.Why SSSBRH - Sri Sathya Sai Biobank and Research Hub matters
Built for Indian lives, and built to last
Much of the evidence behind diagnostics and treatment in India was drawn from populations that do not represent Indian diversity. The Biobank was created to close that gap, with depth, a proven foundation, and a network patients trust.
Evidence for Indian lives
Biospecimens, clinical data and outcomes from diverse Indian populations, so that findings apply to Indian patients.
Linked, not just stored
Each sample connects to clinical, imaging, multiomic and longitudinal data, ready for AI-driven discovery.
A proven foundation
25,000+ curated biospecimens, 10,000+ AMR isolates, and translational products already in use, including AMRx and a Troponin T biosensor.
A network patients trust
Decades of care across the Sri Sathya Sai hospitals built deep, consented, long-term relationships with patients.
Our clinical network
A clinical foundation, expanding across India
The Biobank was anchored in a consortium of Sri Sathya Sai healthcare institutions, and is now extending to partner hospitals and centres nationwide.
One Mission, Many Institutions
Collaborating under the Sri Sathya Sai umbrella
Sri Sathya Sai Institute of Higher Medical SciencesPrasanthigram, Andhra Pradesh↗
Sri Sathya Sai General HospitalPrasanthi Nilayam↗Sri Sathya Sai Institute of Higher Medical SciencesWhitefield, Bengaluru↗
Sri Sathya Sai Mobile HospitalPuttaparthi↗
Sri Sathya Sai Institute of Higher LearningPuttaparthi↗Our Valued Partners
Translational and technology collaborators
Join the network
Expanding across India
Hospitals and clinical centres are invited to join, contributing to multicentre research, standardised biospecimen collection, longitudinal studies, specialised disease cohorts, rare-disease research and independent technology validation.
Biomarker discoveryIdentify and validate markers for disease, prognosis and treatment response.
Diagnostic developmentWell-characterised cohorts for development and validation of diagnostics.
AI & digital healthBuild and validate AI models on multimodal clinical, imaging and biological data.
From bench to bedside
A connected translational pathway
Each biological sample is connected to the clinical context in which it arose.
1Clinical care & participation
›2Biospecimen collection
›3Quality control & biobanking
›4Clinical · imaging · molecular data
›5AI & computational research
›6Discovery · validation · translation
Governance, quality & ethics
Built on responsible research
The Biobank was established on institutional governance and a structured quality-management system.
Built for trust
A boundary that stays with the donor
Consent by design. Workspaces and donor-level data are kept apart. Code runs inside the hub, and results, logs and files pass through an output airlock before anything is released.
01Consent-led accessRequests are checked against identity, ethics approval, consent scope and policy.
02Controlled executionAnalyses run separately from the researcher's workspace.
03Reviewed releaseOnly approved, non-identifying results pass through the airlock.
›_
YOUR WORKSPACECode + synthetic data
Develop
Submit code for controlled execution ↓
◇ SRI SATHYA SAI BIOBANK AND RESEARCH HUB
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ISOLATED EXECUTIONApproved code + linked donor dataDonor identity remains inside this boundary.
✓
OUTPUT AIRLOCKReview results, logs & files
✓ Approved → release↺ Revise → held inside
Approved output artifacts only ↓
✓
Reviewed insights return to your workspace
The right access for your research
Three access paths
Your approved purpose determines how you work with the hub.
Automatically explores each access path
The right access for your research
Three access paths
Your approved purpose determines how you work with the hub.
Automatically explores each access path
Explore before you request
Start with a question, find the samples behind it
A cohort explorer is planned to let researchers navigate clinical concepts (SNOMED CT), pair them with stored sample types, and shape a standards-based query (FHIR) for an access request.
Automatically explores each cohort example
Explore before you request
Start with a question, find the samples behind it
A cohort explorer is planned to let researchers navigate clinical concepts (SNOMED CT), pair them with stored sample types, and shape a standards-based query (FHIR) for an access request.
Automatically explores each cohort example
The research journey
From donated sample to responsible impact
A clearer path from sample to insight. Biospecimens are only as useful as the context around them, so samples and clinical records are brought together, then followed along one connected, consented path from discovery through to released results.
Find samples with context
Access by approved purpose
Keep donors' trust protected
Automatically explores each research stage
STEP {{ jStep.n }} / 04✳
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The research journey
From donated sample to responsible impact
A clearer path from sample to insight. Biospecimens are only as useful as the context around them, so samples and clinical records are brought together, then followed along one connected, consented path from discovery through to released results.
Find samples with context
Access by approved purpose
Keep donors' trust protected
Automatically explores each research stage
STEP 02 / 04✳
02
Make every request accountable
The approved scope is checked by the Access Committee and remains auditable throughout the workflow.
EthicsConsentPolicy
When samples aren't ready
A request can keep moving, even before samples exist
The sourcing path tracks the research need through prospective collection, processing and validation. Availability, consent and authorization are all required before access begins.
01Capture the request
02Assign a sample custodian
03Collect prospectively with consent
04Validate quality and scope
05Notify the requester
Inside the lab
Where samples become science
Every aliquot is handled, stored and studied by people who know its clinical story.
Swipe to explore →
Proposed infrastructure
A purpose-built platform for long-term research
The physical, digital and computational infrastructure of a national resource.
~25,000 sq ft
facility
Dedicated
cryogenic storage
−80 °C to −180 °C
storage
Automated + conventional
tiers
OMOP & FHIR
data standards
Multiomics
genomics, transcriptomics, proteomics
AI & machine-learning
pipelines
High-performance computing
for AI
Quality management
to recognised standards
The Sri Sathya Sai Healthcare Databank
A digital health platform was planned alongside the Biobank to link biospecimens with structured clinical, laboratory, imaging and molecular information: diagnoses, investigations, treatments and outcomes; disease-specific and longitudinal imaging; multiomic datasets spanning genomics, transcriptomics and proteomics; secure computing for AI-enabled research; and tiered, governed access for approved research and collaboration.
Clinical data
Diagnoses, investigations, treatments and outcomes.
Imaging & multiomics
Disease-specific imaging alongside genomic, transcriptomic and proteomic data.
Governed access
Secure, tiered access for approved research and collaboration.
Inside the hub
Built for the complexity of living samples
From collection bench to freezer to dataset, a connected set of tools is designed to keep every sample traceable, annotated and ready for the right question.
{ }
02 / CONNECT
Speak a common clinical language.
FHIR-based access and SNOMED CT terminology bring structure to research questions, sample annotations and results.
›_
03 / COMPUTE
Explore in a secure workspace.
Approved notebooks and controlled jobs give teams a place to work with linked data within their permitted scope.
❄
04 / PRESERVE
Quality you can build on.
Monitored cold storage, chain-of-custody records and standard operating procedures keep every aliquot fit for research.
05 / Sri Sathya Sai Health Databank
A gold standard Databank at SSSIHL
A proposed data lake structure supports the databank, with distinct layers for data ingestion, data storage to approved standards, and a service layer for research and innovation.
This will enable multiomics and computational research, built on future-ready AI, data engineering and diagnostics pipelines.
Service layerFor research and innovation
Secure workspaces, governed access, AI and diagnostics pipelines
↑
Storage layerTo approved standards
OMOP and FHIR-aligned clinical, imaging and multiomic data
↑
Ingestion layerData ingestion
Clinical records, LIMS, imaging and sequencing feeds
06 / Databank pipeline · illustrative
From sample and record to research-ready data
Consent, clinical records, biospecimens and raw omics enter on the left, pass through twelve governed processing steps, and leave as datasets researchers can use.
Samples & data inResearch-ready out
PIPELINE12 steps · SSSBRH data engineering
Phase 1 — Ingest & register
01Consent checkEvery record and sample gated by consent scope
02PseudonymiseIdentity split from data; study IDs issued
03Accession & QCBarcode, sample integrity and chain of custody
Phase 2 — Harmonise clinical data
04Map to standardsSNOMED CT, LOINC, ICD-10 into OMOP and FHIR
05Link sample ↔ phenotypeSpecimens joined to episodes, imaging and outcomes
Phase 3 — Genomic & omics processing
06Read QC & alignmentFASTQ to BAM against the reference genome
07Variant callingSNVs, indels, CNVs and SVs into joint VCFs
08AnnotationClinical significance and Indian population frequencies
09Expression & proteomicsTranscript and protein abundance matrices
10Pathogen genomicsAMR genes, lineages and phylogeny for isolates
Phase 4 — Curate & release
11Feature storeVersioned, analysis-ready datasets for AI and ML
12Governed releaseTiered access, output review, provenance logged
OUTPUTS
OUTPUT 01Analysis-ready cohortsOMOP tables linked to the live sample inventory
OUTPUT 02Variant & genotype datasetsAnnotated VCFs and genotype matrices for association studies
OUTPUT 03Multiomic matricesExpression, proteomic and metabolomic profiles per sample
OUTPUT 04AMR & pathogen datasetsResistance genes, lineages and outbreak clusters
OUTPUT 05AI training setsDe-identified, labelled multimodal data with provenance
Inside the hub
Built for the complexity of living samples
From collection bench to freezer to dataset, a connected set of tools is designed to keep every sample traceable, annotated and ready for the right question.
{ }
02 / CONNECT
Speak a common clinical language.
FHIR-based access and SNOMED CT terminology bring structure to research questions, sample annotations and results.
›_
03 / COMPUTE
Explore in a secure workspace.
Approved notebooks and controlled jobs give teams a place to work with linked data within their permitted scope.
❄
04 / PRESERVE
Quality you can build on.
Monitored cold storage, chain-of-custody records and standard operating procedures keep every aliquot fit for research.
05 / Sri Sathya Sai Health Databank
A gold standard Databank at SSSIHL
A proposed data lake structure supports the databank, with distinct layers for data ingestion, data storage to approved standards, and a service layer for research and innovation.
This will enable multiomics and computational research, built on future-ready AI, data engineering and diagnostics pipelines.
Service layerFor research and innovation
Secure workspaces, governed access, AI and diagnostics pipelines
↑
Storage layerTo approved standards
OMOP and FHIR-aligned clinical, imaging and multiomic data
↑
Ingestion layerData ingestion
Clinical records, LIMS, imaging and sequencing feeds
06 / Databank pipeline · illustrative
From sample and record to research-ready data
Consent, clinical records, biospecimens and raw omics enter on the left, pass through twelve governed processing steps, and leave as datasets researchers can use.
Samples & data inResearch-ready out
PIPELINE12 steps · SSSBRH data engineering
Phase 1 — Ingest & register
01Consent checkEvery record and sample gated by consent scope
02PseudonymiseIdentity split from data; study IDs issued
03Accession & QCBarcode, sample integrity and chain of custody
Phase 2 — Harmonise clinical data
04Map to standardsSNOMED CT, LOINC, ICD-10 into OMOP and FHIR
05Link sample ↔ phenotypeSpecimens joined to episodes, imaging and outcomes
Phase 3 — Genomic & omics processing
06Read QC & alignmentFASTQ to BAM against the reference genome
07Variant callingSNVs, indels, CNVs and SVs into joint VCFs
08AnnotationClinical significance and Indian population frequencies
09Expression & proteomicsTranscript and protein abundance matrices
10Pathogen genomicsAMR genes, lineages and phylogeny for isolates
Phase 4 — Curate & release
11Feature storeVersioned, analysis-ready datasets for AI and ML
12Governed releaseTiered access, output review, provenance logged
OUTPUTS
OUTPUT 01Analysis-ready cohortsOMOP tables linked to the live sample inventory
OUTPUT 02Variant & genotype datasetsAnnotated VCFs and genotype matrices for association studies
OUTPUT 03Multiomic matricesExpression, proteomic and metabolomic profiles per sample
OUTPUT 04AMR & pathogen datasetsResistance genes, lineages and outbreak clusters
OUTPUT 05AI training setsDe-identified, labelled multimodal data with provenance
The long-term vision
A national research resource for future generations
Over the coming decade, the Biobank aims to connect biospecimens with longitudinal clinical and research information across diverse Indian populations.
~500,000Participants
5 millionBiospecimens
15 millionAliquots
NationalClinical & research network
Partner with us
Help build India's healthcare research infrastructure
The Biobank invites collaboration across sectors.
Academic researchers
Access samples and linked data for approved studies.
Clinicians
Turn questions from the clinic into research.
Industry & pharma
Collaborate on discovery with clear public benefit.
Diagnostics & medtech
Validate technologies on well-characterised cohorts.
Funders & CSR partners
Support collections, infrastructure and capacity.
Participants & public
See how donated samples are used and protected.
The five-year effort
What your partnership builds
The physical biobank, the Sri Sathya Sai Healthcare Databank, automated and cryogenic storage, the national hospital network and the governance framework.
- 01Phase 1Facility and core storage
- 02Phase 2National network integration and automation
- 03Phase 3Capacity expansion, AI and diagnostics pipelines, accreditation
- ∞BeyondSelf-sustaining through research collaborations, industry services and grants
A few things to know
Good research starts with clear answers
Understand discovery, access, and what happens to samples and results.
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A few things to know
Good research starts with clear answers
Understand discovery, access, and what happens to samples and results.
Explore the sample catalogue and clinical concepts, then shape a standards-based request for review.
Access depends on your approved purpose, along three paths: data access, sample access and research collaboration.
Donor-level data stays inside the hub. Analyses run in a controlled environment, and only reviewed, non-identifying results leave through an output airlock.
A sourcing path can capture the request and collect prospectively with consent before access begins.
Results, logs and files are reviewed before release, and approved outputs return to your workspace.
Consent by design: requests are checked against identity, ethics approval, consent scope and policy.
Inaugurated 22 November 2025
01 / 06
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