Real-World Patient Data for
Pharma & Biotech R&D
Access real-world patient cohorts you can't find in public databases, particularly from underrepresented populations, assembled in weeks instead of months, analyzed in a secure Trusted Research Environment.
The Challenge
The Problem for Pharma & Biotech R&D
Pharma R&D teams spend months and millions assembling cohorts for studies, often settling for incomplete public datasets lacking population diversity or multi-modal depth. Public databases like UK Biobank and gnomAD are valuable but skew heavily toward European-ancestry populations. Traditional data brokers often use models with unfavorable terms or lack multi-modal patient-level linkage. And for research on populations in MENA, South Asia, or other underrepresented regions, the data often simply doesn't exist in any public resource, even when it exists in clinical institutions.
How Pan.bio Helps
The capabilities behind the difference
Pan.bio Patient Cohorts is a biomedical data marketplace connecting researchers with de-identified, multi-modal patient cohorts from underrepresented populations, through a Trusted Research Environment where raw data never leaves the provider's infrastructure:
Population-specific cohorts
Targeting MENA and South Asia populations that don't exist in any public database, along with integrated governance-cleared datasets (TCGA, MIMIC-IV, Synthea synthetic cohorts).
Multi-modal patient-level linkage
Genomics (WGS, WES, RNA-seq, single-cell, methylation, proteomics, metabolomics), clinical data (EHR, labs, biomarkers, demographics, phenotypes), and imaging (CT, MRI, digital pathology, X-ray, ultrasound) linked at the individual patient level.
Search by what you need
Filter by disease, data modality, population, or genomic criteria. Metadata is visible before any commitment.
Transparent gap disclosure
Since no dataset is a perfect match, Pan.bio's Cohort Discovery Agent surfaces the best available options with clear disclosure of where datasets fall short.
AI-assisted cohort discovery
Describe what you need in plain language. The Cohort Discovery Agent translates it into structured filters, ranks matches, and helps compare candidates.
Analysis in-place
Licensed cohorts load into an isolated Trusted Research Environment pre-configured with analytical tools. Export results and derived insights, never raw data.
Real Workflow Example
A biotech oncology researcher assembling a cohort for a breast cancer biomarker study
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Search: "Female breast cancer patients, WGS + clinical EHR, MENA region, with 2+ years follow-up"
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The Cohort Discovery Agent surfaces matching cohorts with completeness scores and gap disclosure
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Review aggregate summaries, demographics, variant frequencies, follow-up duration
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License the cohort per-patient, per-year, with scope and duration specified
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Pan.bio provisions an isolated Trusted Research Environment pre-loaded with the cohort
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Run analyses within the workspace using pre-loaded analytical tools
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Export derived results and insights, the raw patient data stays with the provider
What You Gain
Real outcomes, not just features
Tangible results from teams that moved their genomic work onto Pan.bio.
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Access to populations you can't find anywhere else.
Particularly underrepresented populations in MENA and South Asia.
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Cohort assembly in weeks, not months.
No more spending a quarter chasing data agreements.
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Multi-modal, patient-level linkage.
Not just genomics, clinical, imaging, and phenotypic data linked per patient.
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Reproducible analyses in a secure, compliant compute environment.
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Data freshness.
Cohorts come from active clinical institutions, not static snapshots published years ago.
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Compliance by architecture.
HIPAA, GDPR, SOC 2, and ISO 27001, enforced at the infrastructure level.
Enforced at the infrastructure level, your data stays in your jurisdiction, always.
Ready to Access the Cohorts You Need?
Access real-world, multi-modal patient cohorts from underrepresented populations, assembled in weeks, not months.
No credit card required · Start in minutes