Understand disease biology - cell type to molecule. Now

Explore disease at cellular resolution

The Disease Atlas is a navigable, evidence-graded map of disease biology, built from primary biological data, resolved to cell type across 34,000 diseases. It gives translational researchers direct access to the drivers, therapeutic target candidates and causal evidence behind any disease, in one integrated view.

All the evidence in one place

The Disease Atlas brings all the evidence for understanding disease biology together in one platform. This changes what is possible for a translational researcher. Questions that previously required a dedicated project can now be explored, tested and answered independently, leading to conclusions you can defend.

Discover target candidates ranked by causal and molecular evidence

For every disease, the platform ranks target candidates by causal and molecular evidence; not by literature. Seven independent dimensions, including genetic causal evidence and gene perturbation data, identify genes that actively drive disease biology. Candidates with little or no prior literature support become visible when the causal evidence converges.

View your data in the full context of disease

Upload your proprietary gene sets, variant data or expression experiments and see them immediately evaluated against the full integrated disease evidence base. Now explore mechanisms, identify drivers and prioritise candidates with your data at the centre.

Assess target candidates across every dimension

For any gene-disease pair, build a complete and defensible rationale for advancing a candidate. Six dimensions of evidence, causal, mechanistic, expression, network, tractability and safety; each resolved to the cell types where the disease operates. Every result traceable to source.

Uncover the mechanisms driving your disease

Understanding disease pathophysiology is the foundation of every good target decision. Start with any gene set and identify which biological mechanisms it connects to across nine structured driver categories, from molecular pathways to cellular functions, organ functions and disease phenotypes. Results are resolved to the most disease-relevant cell type, so the signal is specific to where the disease actually operates. Genes that connect to the most drivers are the key mechanistic players in your disease.

Uncover the mechanisms driving your disease

Understanding disease pathophysiology is the foundation of every good target decision. Start with any gene set and identify which biological mechanisms it connects to across nine structured driver categories, from molecular pathways to cellular functions, organ functions and disease phenotypes. Results are resolved to the most disease-relevant cell type, so the signal is specific to where the disease actually operates. Genes that connect to the most drivers are the key mechanistic players in your disease.

Understand disease biology layer by layer

Whatever your starting point — a disease, a hypothesis, or your own data — explore every dimension to the level of a specific cell type. Taking you from initial question to defensible insight.

Disease pathophysiology

Map how disease disrupts biology across molecular, cellular and tissue levels — in any cell type

Anatomical context

Identify which tissues and cell types are implicated and how their biology is disrupted

Multiomic interactions

Trace genetic, expression and metabolic relationships within disease-relevant cell types

Disease drivers

Understand the genes and pathways actively driving disease — in the cell types where it operates

Real-world impact. Independently validated

Three independent validations, from clinical trial data to granted patents, each verifiable in the public record.
Clinical trial success rate

Clinical trial success rate

Clinical trial targets are already highly selected. Each represents years of preclinical research and expert biological validation. Yet the majority still fail. Among 2,587 completed Phase 2 and Phase 3 trials, genes ranked in the top 10% by the Disease Atlas succeeded at 91.5%.
J&J Kenvue patent

J&J Kenvue patent

In 2019, Johnson & Johnson filed a publicly available patent on acne drug targets identified using the Euretos platform, naming it 17 times. That patent now sits with Kenvue (the consumer health company behind Neutrogena and Aveeno) with a continuation filed in 2024.
Drug target recognition

Drug target recognition

Every approved drug target in the genome was scored against its disease using the Disease Atlas ranking, blinded to approval status and back-tested against historical data. 99.4% landed in the top 1% of all scored genes.
Client review

Target Discovery

"We worked with Euretos to leverage their AI capabilities with the aim of finding new targets in two different indications. It was a real pleasure to work with them and the whole process was characterized by transparency, their willingness to listen to our needs and suggestions, and swift responses and data delivery. In addition, we found their platform very useful for getting an overview of the different targets and for general queries."

Tau Benned-Jensen
Senior Research Scientist, H. Lundbeck A/S
Client review

Indication selection

“In this project, we evaluated you against our internal investigations and the results of one other external provider. What really sets you apart is how you combine a fundamentally biological and data-driven approach. The breadth of the indications you assess and the depth of your analysis sets you apart and is a clear value add to our internal capabilities.”

Large European Pharma
Global Head
Client review

Target Assessment

"I find the Euretos platform to be valuable in what it offers in terms of advanced AI capabilities and analytics of smart scouting and literature searches to probe relevant targets, indications, and therapeutics. The professional support and dedicated mentoring from experienced bioinformatics professionals that Euretos offers greatly enhances our ability to take advantage of all the capabilities of the platform, and extract meaningful insights for our day-to-day mission of bringing innovation into Teva."

Dr. Dana Bar-On
Sr. Director, Head of Academic Affairs and Networks, Specialty R&D, Teva Pharmaceuticals
Client review

Target Discovery

"We have been working with Euretos for many years now. They provide us with unique tools that we use as an integral part of our target discovery and validation. Using the Euretos AI platform is a mandatory input to our target discovery meetings."

Large European Biotech
Director Target Discovery
Client review

Indication Selection

"We find that the Euretos group was very easy to work and communicate with. The professional staff at Euretos did a great job extending their platform and capabilities to our advantage. Euretos helped us to extract meaningful information from a highly complex data domain, that we could build on internally."

Henriette Husum Bak-Jensen
Project Manager, Projects & Portfolio department, H. Lundbeck A/S
Client review

Target Assessment

"We are fascinated by the suggested hypothesis. It was great that even very small expressional changes were captured and a hypothesis was generated. The interpretation was also convincing and consistent. Also, the team is well engaged, and had a very good understanding in the background of the project and our research question"

Large Japanese Pharma
Principal Scientist

Powered by curated and harmonised biomedical data

The Disease Atlas is built on the largest FAIR-integrated knowledge base combining biomedical, patent and single-cell evidence. It spans over 200 biomedical databases, 100 million publications, 2.5 million drug patents and 3,500 single-cell RNA sequencing cell type profiles, all harmonised into a single interoperable framework. Every result is fully traceable to source.

Make target decisions grounded in disease biology

Target ranking on causal and molecular evidence — not literature
Understand disease biology at cell-type resolution
Complete target assessment that leverages the depth of the Disease Atlas
Your data evaluated in the full context of disease biology

Understand the pathophysiology of any disease

Explore how molecular, cellular and anatomical factors drive disease processes — layer by layer, from organ to cell type. Generate defensible hypotheses that are grounded in biological context.
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Understand the pathophysiology of any disease

Explore how molecular, cellular and anatomical factors drive disease processes — layer by layer, from organ to cell type. Generate defensible hypotheses that are grounded in biological context.
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Discover candidates ranked by causal and molecular evidence

For any disease, explore a ranked list of candidates — scored from genetic variants through expression patterns to disease mechanisms. Candidates emerge because the biology converges, independent of literature mentions.

Discover candidates ranked by causal and molecular evidence

For any disease, explore a ranked list of candidates — scored from genetic variants through expression patterns to disease mechanisms. Candidates emerge because the biology converges, independent of literature mentions.
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Evaluate target relevance and actionability

For any gene-disease pair, build a defensible rationale across causal evidence, disease mechanisms, expression patterns, network context, tractability and safety — each resolved to the cell types where the disease operates.
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Evaluate target relevance and actionability

For any gene-disease pair, build a defensible rationale across causal evidence, disease mechanisms, expression patterns, network context, tractability and safety — each resolved to the cell types where the disease operates.
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Discover markers linked to disease mechanisms

Identify molecular markers associated with key disease drivers by tracing expression patterns, variants and metabolic interactions from gene through pathways to disease — specific to the cell types and tissues where they are active.

Discover markers linked to disease mechanisms

Identify molecular markers associated with key disease drivers by tracing expression patterns, variants and metabolic interactions from gene through pathways to disease — specific to the cell types and tissues where they are active.
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Create scientific briefs backed by curated evidence

Access curated, publication-backed evidence on targets, markers, diseases and molecular mechanisms — and structure it into scientific briefs, target profiles and disease backgrounders you can stand behind.
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Create scientific briefs backed by curated evidence

Access curated, publication-backed evidence on targets, markers, diseases and molecular mechanisms — and structure it into scientific briefs, target profiles and disease backgrounders you can stand behind.
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Proven reliability for over a decade

Used by leading academic organisations, pharma and biotech for disease research and target selection.
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Data-driven disease insights