Decoding
Decoding
Decoding
Cancer
Cancer
Cancer
Nexomic uses frontier AI to decode the hidden biology driving treatment response, resistance, and disease evolution.
Nexomic uses frontier AI to decode
the hidden biology driving treatment response, resistance, and disease evolution.
Nexomic uses frontier AI to decode the hidden biology driving treatment response, resistance, and disease evolution.
What we do
At Nexomic, we have built a large-scale patient multiomic data foundation that reflects the diversity and complexity of tumour biology.
Enhanced by our proprietary computational deep profiling approaches and state-of-the-art, tumour-agnostic AI foundation model, it powers solutions that advance precision oncology from discovery to patient care
At Nexomic, we have built a large-scale patient multiomic data foundation that reflects the diversity and complexity of tumor biology.
Enhanced through our proprietary computational deep profiling approaches and advanced, state-of-the-art tumour-agnostic AI foundation model, this foundation powers solutions that advance precision oncology from discovery to patient care
The Data Foundation
The Data Foundation
The Data Foundation
5+ layers
5+ layers
Of multi-omics data with clinically linked outcomes
Of multi-omics data with clinically linked outcomes
30+ Countries
30+ Countries
Representing data from around the globe with rare subtypes
Representing data from around the globe with rare subtypes
1 M+
1 M+
Harmonized features per patient
Harmonized features per patient
100M+
100M+
Molecular features modeled
Molecular features modeled
DeepOmic®
DeepOmic®
The Discovery Engine
The Discovery Engine
A Multi-Omic foundation model purpose
built to decode the biology of cancer
A Multi-Omic foundation model purpose
built to decode the biology of cancer
1000s
Validated across diverse patient datasets to support robust and clinically relevant insights.
Validated across diverse patient datasets to support robust and clinically relevant insights.
Validated across diverse patient datasets to support robust and clinically relevant insights.
Validation
Validation
Validation
One
A unified AI representation of disease biology across omics, patients, and cancer types.
A unified AI representation of disease biology across omics, patients, and cancer types.
A unified AI representation of disease biology across omics, patients, and cancer types.
Representation
Representation
Representation
Scientific Evidence & Publications
Scientific Evidence & Publications
Poster
DeepOmic, a self-supervised multi-omic AI foundation model, identifies prognostic subgroups across solid tumours
Abstract 2737
ESMO 2026 · Madrid · Oct 2026
Poster
A pretrained multi-omic AI foundation model identifies eight prognostically distinct breast cancer subgroups in METABRIC
Abstract 7878
ESMO 2026 · Madrid · Oct 2026
Poster
Pathway-guided multi-omic AI reconstructs missing RNA and DNA methylation profiles across 34 cancer types
Abstract 7766
ESMO 2026 · Madrid · Oct 2026
Poster
Multi-omic AI stratifies survival in immunotherapy-treated metastatic pancreatic cancer from the PRINCE phase 2 trial
Abstract 7967
ESMO 2026 · Madrid · Oct 2026
Poster
DNA-only multi-omic AI identifies tumour primary site across 31 lineages in cancer of unknown primary
Abstract 7824
ESMO 2026 · Madrid · Oct 2026
Poster
A tumor agnostic multi-omic foundation model for zero-shot generalisation, low-label transfer and clinically relevant prediction
Abstract 564
ESMO 2026 · Berlin · Nov 2026
Poster
DeepOmic, a self-supervised multi-omic AI foundation model, identifies prognostic subgroups across solid tumours
Abstract 2737
ESMO 2026 · Madrid · Oct 2026
Poster
Pathway-guided multi-omic AI reconstructs missing RNA and DNA methylation profiles across 34 cancer types
Abstract 7766
ESMO 2026 · Madrid · Oct 2026
Poster
DNA-only multi-omic AI identifies tumour primary site across 31 lineages in cancer of unknown primary
Abstract 7824
ESMO 2026 · Madrid · Oct 2026
Poster
A pretrained multi-omic AI foundation model identifies eight prognostically distinct breast cancer subgroups in METABRIC
Abstract 7878
ESMO 2026 · Madrid · Oct 2026
Poster
Multi-omic AI stratifies survival in immunotherapy-treated metastatic pancreatic cancer from the PRINCE phase 2 trial
Abstract 7967
ESMO 2026 · Madrid · Oct 2026
Poster
A tumor agnostic multi-omic foundation model for zero-shot generalisation, low-label transfer and clinically relevant prediction
Abstract 564
ESMO 2026 · Berlin · Nov 2026
Poster
DeepOmic, a self-supervised multi-omic AI foundation model, identifies prognostic subgroups across solid tumours
Abstract 2737
ESMO 2026 · Madrid · Oct 2026
Poster
DNA-only multi-omic AI identifies tumour primary site across 31 lineages in cancer of unknown primary
Abstract 7824
ESMO 2026 · Madrid · Oct 2026
Poster
Multi-omic AI stratifies survival in immunotherapy-treated metastatic pancreatic cancer from the PRINCE phase 2 trial
Abstract 7967
ESMO 2026 · Madrid · Oct 2026
Poster
Pathway-guided multi-omic AI reconstructs missing RNA and DNA methylation profiles across 34 cancer types
Abstract 7766
ESMO 2026 · Madrid · Oct 2026
Poster
A pretrained multi-omic AI foundation model identifies eight prognostically distinct breast cancer subgroups in METABRIC
Abstract 7878
ESMO 2026 · Madrid · Oct 2026
Poster
A tumor agnostic multi-omic foundation model for zero-shot generalisation, low-label transfer and clinically relevant prediction
Abstract 564
ESMO 2026 · Berlin · Nov 2026
View all evidence
Solutions
Solutions
Decoding Latent Biology to Understand Heterogeneity and Resistance for Better Clinical Development Design
A solution for sponsors to de-risk drug development by decoding real-patient multi-omic biology.
Running Large Scale AI-driven Simulations to Reveal Accurate Patient Response Predictions
A report to predict drug response from underlying biology, not diagnosis alone.
Delivering on Our Mission
At Nexomic our mission is to decode the biology of heterogeneity and resistance, to deliver the right treatment for every patient
Resources
Browse our library of trusted resources,
expert insights, and informative articles
whenever you need them.
Browse our library of trusted resources,
expert insights, and informative articles
whenever you need them.
Contact Us
Get in touch with us to discuss your project and start building something extraordinary.
Contact Us
Get in touch with us to discuss your project and start building something extraordinary.
The Data Foundation
5+ layers
Of multi-omics data with clinically linked outcomes
30+ Countries
Representing data from around the globe with rare subtypes
1 M+
Harmonized features per patient
100M+
Molecular features modeled
DeepOmic®
The Discovery Engine
A Multi-Omic foundation model purpose
built to decode the biology of cancer
Decoding
Cancer
Nexomic uses frontier AI to decode the hidden biology driving treatment response, resistance, and disease evolution.
Scientific Evidence & Publications
View all evidence
Poster
DeepOmic, a self-supervised multi-omic AI foundation model, identifies prognostic subgroups across solid tumours
Abstract 2737
ESMO 2026 · Madrid · Oct 2026
Poster
A pretrained multi-omic AI foundation model identifies eight prognostically distinct breast cancer subgroups in METABRIC
Abstract 7878
ESMO 2026 · Madrid · Oct 2026
Poster
Pathway-guided multi-omic AI reconstructs missing RNA and DNA methylation profiles across 34 cancer types
Abstract 7766
ESMO 2026 · Madrid · Oct 2026
Poster
Multi-omic AI stratifies survival in immunotherapy-treated metastatic pancreatic cancer from the PRINCE phase 2 trial
Abstract 7967
ESMO 2026 · Madrid · Oct 2026
Poster
DNA-only multi-omic AI identifies tumour primary site across 31 lineages in cancer of unknown primary
Abstract 7824
ESMO 2026 · Madrid · Oct 2026
Poster
A tumor agnostic multi-omic foundation model for zero-shot generalisation, low-label transfer and clinically relevant prediction
Abstract 564
ESMO 2026 · Berlin · Nov 2026
The Greenway, Block C,
112-114 St Stephen's Green,
Dublin 2, D02 TD28
Dublin, Ireland
Decoding
Decoding
Decoding
Cancer
Cancer
Cancer
Nexomic uses frontier AI to decode the hidden biology driving treatment response, resistance, and disease evolution.
Nexomic uses frontier AI to decode
the hidden biology driving treatment response, resistance, and disease evolution.
Nexomic uses frontier AI to decode the hidden biology driving treatment response, resistance, and disease evolution.
What we do
At Nexomic, we have built a large-scale patient multiomic data foundation that reflects the diversity and complexity of tumour biology.
Enhanced by our proprietary computational deep profiling approaches and state-of-the-art, tumour-agnostic AI foundation model, it powers solutions that advance precision oncology from discovery to patient care
At Nexomic, we have built a large-scale patient multiomic data foundation that reflects the diversity and complexity of tumor biology.
Enhanced through our proprietary computational deep profiling approaches and advanced, state-of-the-art tumour-agnostic AI foundation model, this foundation powers solutions that advance precision oncology from discovery to patient care
The Data Foundation
The Data Foundation
The Data Foundation
5+ layers
5+ layers
Of multi-omics data with clinically linked outcomes
Of multi-omics data with clinically linked outcomes
30+ Countries
30+ Countries
Representing data from around the globe with rare subtypes
Representing data from around the globe with rare subtypes
1 M+
1 M+
Harmonized features per patient
Harmonized features per patient
100M+
100M+
Molecular features modeled
Molecular features modeled
DeepOmic®
DeepOmic®
The Discovery Engine
The Discovery Engine
A Multi-Omic foundation model purpose
built to decode the biology of cancer
A Multi-Omic foundation model purpose
built to decode the biology of cancer
1000s
Validated across diverse patient datasets to support robust and clinically relevant insights.
Validated across diverse patient datasets to support robust and clinically relevant insights.
Validated across diverse patient datasets to support robust and clinically relevant insights.
Validation
Validation
Validation
One
A unified AI representation of disease biology across omics, patients, and cancer types.
A unified AI representation of disease biology across omics, patients, and cancer types.
A unified AI representation of disease biology across omics, patients, and cancer types.
Representation
Representation
Representation
Scientific Evidence & Publications
Scientific Evidence & Publications
Poster
DeepOmic, a self-supervised multi-omic AI foundation model, identifies prognostic subgroups across solid tumours
Abstract 2737
ESMO 2026 · Madrid · Oct 2026
Poster
A pretrained multi-omic AI foundation model identifies eight prognostically distinct breast cancer subgroups in METABRIC
Abstract 7878
ESMO 2026 · Madrid · Oct 2026
Poster
Pathway-guided multi-omic AI reconstructs missing RNA and DNA methylation profiles across 34 cancer types
Abstract 7766
ESMO 2026 · Madrid · Oct 2026
Poster
Multi-omic AI stratifies survival in immunotherapy-treated metastatic pancreatic cancer from the PRINCE phase 2 trial
Abstract 7967
ESMO 2026 · Madrid · Oct 2026
Poster
DNA-only multi-omic AI identifies tumour primary site across 31 lineages in cancer of unknown primary
Abstract 7824
ESMO 2026 · Madrid · Oct 2026
Poster
A tumor agnostic multi-omic foundation model for zero-shot generalisation, low-label transfer and clinically relevant prediction
Abstract 564
ESMO 2026 · Berlin · Nov 2026
Poster
DeepOmic, a self-supervised multi-omic AI foundation model, identifies prognostic subgroups across solid tumours
Abstract 2737
ESMO 2026 · Madrid · Oct 2026
Poster
Pathway-guided multi-omic AI reconstructs missing RNA and DNA methylation profiles across 34 cancer types
Abstract 7766
ESMO 2026 · Madrid · Oct 2026
Poster
DNA-only multi-omic AI identifies tumour primary site across 31 lineages in cancer of unknown primary
Abstract 7824
ESMO 2026 · Madrid · Oct 2026
Poster
A pretrained multi-omic AI foundation model identifies eight prognostically distinct breast cancer subgroups in METABRIC
Abstract 7878
ESMO 2026 · Madrid · Oct 2026
Poster
Multi-omic AI stratifies survival in immunotherapy-treated metastatic pancreatic cancer from the PRINCE phase 2 trial
Abstract 7967
ESMO 2026 · Madrid · Oct 2026
Poster
A tumor agnostic multi-omic foundation model for zero-shot generalisation, low-label transfer and clinically relevant prediction
Abstract 564
ESMO 2026 · Berlin · Nov 2026
Poster
DeepOmic, a self-supervised multi-omic AI foundation model, identifies prognostic subgroups across solid tumours
Abstract 2737
ESMO 2026 · Madrid · Oct 2026
Poster
DNA-only multi-omic AI identifies tumour primary site across 31 lineages in cancer of unknown primary
Abstract 7824
ESMO 2026 · Madrid · Oct 2026
Poster
Multi-omic AI stratifies survival in immunotherapy-treated metastatic pancreatic cancer from the PRINCE phase 2 trial
Abstract 7967
ESMO 2026 · Madrid · Oct 2026
Poster
Pathway-guided multi-omic AI reconstructs missing RNA and DNA methylation profiles across 34 cancer types
Abstract 7766
ESMO 2026 · Madrid · Oct 2026
Poster
A pretrained multi-omic AI foundation model identifies eight prognostically distinct breast cancer subgroups in METABRIC
Abstract 7878
ESMO 2026 · Madrid · Oct 2026
Poster
A tumor agnostic multi-omic foundation model for zero-shot generalisation, low-label transfer and clinically relevant prediction
Abstract 564
ESMO 2026 · Berlin · Nov 2026
View all evidence
Solutions
Solutions
Decoding Latent Biology to Understand Heterogeneity and Resistance for Better Clinical Development Design
A solution for sponsors to de-risk drug development by decoding real-patient multi-omic biology.
Running Large Scale AI-driven Simulations to Reveal Accurate Patient Response Predictions
A report to predict drug response from underlying biology, not diagnosis alone.
Delivering on Our Mission
At Nexomic our mission is to decode the biology of heterogeneity and resistance, to deliver the right treatment for every patient
Resources
Browse our library of trusted resources,
expert insights, and informative articles
whenever you need them.
Browse our library of trusted resources,
expert insights, and informative articles
whenever you need them.
Contact Us
Get in touch with us to discuss your project and start building something extraordinary.
Contact Us
Get in touch with us to discuss your project and start building something extraordinary.
The Data Foundation
5+ layers
Of multi-omics data with clinically linked outcomes
30+ Countries
Representing data from around the globe with rare subtypes
1 M+
Harmonized features per patient
100M+
Molecular features modeled
DeepOmic®
The Discovery Engine
A Multi-Omic foundation model purpose
built to decode the biology of cancer
Decoding
Cancer
Nexomic uses frontier AI to decode the hidden biology driving treatment response, resistance, and disease evolution.
Scientific Evidence & Publications
View all evidence
Poster
DeepOmic, a self-supervised multi-omic AI foundation model, identifies prognostic subgroups across solid tumours
Abstract 2737
ESMO 2026 · Madrid · Oct 2026
Poster
A pretrained multi-omic AI foundation model identifies eight prognostically distinct breast cancer subgroups in METABRIC
Abstract 7878
ESMO 2026 · Madrid · Oct 2026
Poster
Pathway-guided multi-omic AI reconstructs missing RNA and DNA methylation profiles across 34 cancer types
Abstract 7766
ESMO 2026 · Madrid · Oct 2026
Poster
Multi-omic AI stratifies survival in immunotherapy-treated metastatic pancreatic cancer from the PRINCE phase 2 trial
Abstract 7967
ESMO 2026 · Madrid · Oct 2026
Poster
DNA-only multi-omic AI identifies tumour primary site across 31 lineages in cancer of unknown primary
Abstract 7824
ESMO 2026 · Madrid · Oct 2026
Poster
A tumor agnostic multi-omic foundation model for zero-shot generalisation, low-label transfer and clinically relevant prediction
Abstract 564
ESMO 2026 · Berlin · Nov 2026
The Greenway, Block C,
112-114 St Stephen's Green,
Dublin 2, D02 TD28
Dublin, Ireland
Decoding
Decoding
Decoding
Cancer
Cancer
Cancer
Nexomic uses frontier AI to decode the hidden biology driving treatment response, resistance, and disease evolution.
Nexomic uses frontier AI to decode
the hidden biology driving treatment response, resistance, and disease evolution.
Nexomic uses frontier AI to decode the hidden biology driving treatment response, resistance, and disease evolution.
What we do
At Nexomic, we have built a large-scale patient multiomic data foundation that reflects the diversity and complexity of tumour biology.
Enhanced by our proprietary computational deep profiling approaches and state-of-the-art, tumour-agnostic AI foundation model, it powers solutions that advance precision oncology from discovery to patient care
At Nexomic, we have built a large-scale patient multiomic data foundation that reflects the diversity and complexity of tumor biology.
Enhanced through our proprietary computational deep profiling approaches and advanced, state-of-the-art tumour-agnostic AI foundation model, this foundation powers solutions that advance precision oncology from discovery to patient care
The Data Foundation
The Data Foundation
The Data Foundation
5+ layers
5+ layers
Of multi-omics data with clinically linked outcomes
Of multi-omics data with clinically linked outcomes
30+ Countries
30+ Countries
Representing data from around the globe with rare subtypes
Representing data from around the globe with rare subtypes
1 M+
1 M+
Harmonized features per patient
Harmonized features per patient
100M+
100M+
Molecular features modeled
Molecular features modeled
DeepOmic®
DeepOmic®
The Discovery Engine
The Discovery Engine
A Multi-Omic foundation model purpose
built to decode the biology of cancer
A Multi-Omic foundation model purpose
built to decode the biology of cancer
1000s
Validated across diverse patient datasets to support robust and clinically relevant insights.
Validated across diverse patient datasets to support robust and clinically relevant insights.
Validated across diverse patient datasets to support robust and clinically relevant insights.
Validation
Validation
Validation
One
A unified AI representation of disease biology across omics, patients, and cancer types.
A unified AI representation of disease biology across omics, patients, and cancer types.
A unified AI representation of disease biology across omics, patients, and cancer types.
Representation
Representation
Representation
Scientific Evidence & Publications
Scientific Evidence & Publications
Poster
DeepOmic, a self-supervised multi-omic AI foundation model, identifies prognostic subgroups across solid tumours
Abstract 2737
ESMO 2026 · Madrid · Oct 2026
Poster
A pretrained multi-omic AI foundation model identifies eight prognostically distinct breast cancer subgroups in METABRIC
Abstract 7878
ESMO 2026 · Madrid · Oct 2026
Poster
Pathway-guided multi-omic AI reconstructs missing RNA and DNA methylation profiles across 34 cancer types
Abstract 7766
ESMO 2026 · Madrid · Oct 2026
Poster
Multi-omic AI stratifies survival in immunotherapy-treated metastatic pancreatic cancer from the PRINCE phase 2 trial
Abstract 7967
ESMO 2026 · Madrid · Oct 2026
Poster
DNA-only multi-omic AI identifies tumour primary site across 31 lineages in cancer of unknown primary
Abstract 7824
ESMO 2026 · Madrid · Oct 2026
Poster
A tumor agnostic multi-omic foundation model for zero-shot generalisation, low-label transfer and clinically relevant prediction
Abstract 564
ESMO 2026 · Berlin · Nov 2026
Poster
DeepOmic, a self-supervised multi-omic AI foundation model, identifies prognostic subgroups across solid tumours
Abstract 2737
ESMO 2026 · Madrid · Oct 2026
Poster
Pathway-guided multi-omic AI reconstructs missing RNA and DNA methylation profiles across 34 cancer types
Abstract 7766
ESMO 2026 · Madrid · Oct 2026
Poster
DNA-only multi-omic AI identifies tumour primary site across 31 lineages in cancer of unknown primary
Abstract 7824
ESMO 2026 · Madrid · Oct 2026
Poster
A pretrained multi-omic AI foundation model identifies eight prognostically distinct breast cancer subgroups in METABRIC
Abstract 7878
ESMO 2026 · Madrid · Oct 2026
Poster
Multi-omic AI stratifies survival in immunotherapy-treated metastatic pancreatic cancer from the PRINCE phase 2 trial
Abstract 7967
ESMO 2026 · Madrid · Oct 2026
Poster
A tumor agnostic multi-omic foundation model for zero-shot generalisation, low-label transfer and clinically relevant prediction
Abstract 564
ESMO 2026 · Berlin · Nov 2026
Poster
DeepOmic, a self-supervised multi-omic AI foundation model, identifies prognostic subgroups across solid tumours
Abstract 2737
ESMO 2026 · Madrid · Oct 2026
Poster
DNA-only multi-omic AI identifies tumour primary site across 31 lineages in cancer of unknown primary
Abstract 7824
ESMO 2026 · Madrid · Oct 2026
Poster
Multi-omic AI stratifies survival in immunotherapy-treated metastatic pancreatic cancer from the PRINCE phase 2 trial
Abstract 7967
ESMO 2026 · Madrid · Oct 2026
Poster
Pathway-guided multi-omic AI reconstructs missing RNA and DNA methylation profiles across 34 cancer types
Abstract 7766
ESMO 2026 · Madrid · Oct 2026
Poster
A pretrained multi-omic AI foundation model identifies eight prognostically distinct breast cancer subgroups in METABRIC
Abstract 7878
ESMO 2026 · Madrid · Oct 2026
Poster
A tumor agnostic multi-omic foundation model for zero-shot generalisation, low-label transfer and clinically relevant prediction
Abstract 564
ESMO 2026 · Berlin · Nov 2026
View all evidence
Solutions
Solutions
Decoding Latent Biology to Understand Heterogeneity and Resistance for Better Clinical Development Design
A solution for sponsors to de-risk drug development by decoding real-patient multi-omic biology.
Running Large Scale AI-driven Simulations to Reveal Accurate Patient Response Predictions
A report to predict drug response from underlying biology, not diagnosis alone.
Delivering on Our Mission
At Nexomic our mission is to decode the biology of heterogeneity and resistance, to deliver the right treatment for every patient
Resources
Browse our library of trusted resources,
expert insights, and informative articles
whenever you need them.
Browse our library of trusted resources,
expert insights, and informative articles
whenever you need them.
Contact Us
Get in touch with us to discuss your project and start building something extraordinary.
Contact Us
Get in touch with us to discuss your project and start building something extraordinary.
The Data Foundation
5+ layers
Of multi-omics data with clinically linked outcomes
30+ Countries
Representing data from around the globe with rare subtypes
1 M+
Harmonized features per patient
100M+
Molecular features modeled
DeepOmic®
The Discovery Engine
A Multi-Omic foundation model purpose
built to decode the biology of cancer
Decoding
Cancer
Nexomic uses frontier AI to decode the hidden biology driving treatment response, resistance, and disease evolution.
Scientific Evidence & Publications
View all evidence
Poster
DeepOmic, a self-supervised multi-omic AI foundation model, identifies prognostic subgroups across solid tumours
Abstract 2737
ESMO 2026 · Madrid · Oct 2026
Poster
A pretrained multi-omic AI foundation model identifies eight prognostically distinct breast cancer subgroups in METABRIC
Abstract 7878
ESMO 2026 · Madrid · Oct 2026
Poster
Pathway-guided multi-omic AI reconstructs missing RNA and DNA methylation profiles across 34 cancer types
Abstract 7766
ESMO 2026 · Madrid · Oct 2026
Poster
Multi-omic AI stratifies survival in immunotherapy-treated metastatic pancreatic cancer from the PRINCE phase 2 trial
Abstract 7967
ESMO 2026 · Madrid · Oct 2026
Poster
DNA-only multi-omic AI identifies tumour primary site across 31 lineages in cancer of unknown primary
Abstract 7824
ESMO 2026 · Madrid · Oct 2026
Poster
A tumor agnostic multi-omic foundation model for zero-shot generalisation, low-label transfer and clinically relevant prediction
Abstract 564
ESMO 2026 · Berlin · Nov 2026
The Greenway, Block C,
112-114 St Stephen's Green,
Dublin 2, D02 TD28
Dublin, Ireland