The first tumor-agnostic AI report for treatment response.
Explore oncoREVEAL
DEEP360 transforms patient multi-omic biology into a treatment response report. By simulating therapies across latent biological space, it helps identify which patient populations are most likely to respond, which treatments show the strongest predicted effect, and why biology may drive sensitivity or resistance.
Transforms patient multi-omic biology into a
treatment response report Now
The first tumor-agnostic AI report for treatment response.
Explore oncoREVEAL
DEEP360 transforms patient multi-omic biology into a treatment response report. By simulating therapies across latent biological space, it helps identify which patient populations are most likely to respond, which treatments show the strongest predicted effect, and why biology may drive sensitivity or resistance.
Transforms patient multi-omic biology into a
treatment response report Now
The first tumor-agnostic AI report for treatment response.
Explore oncoREVEAL
DEEP360 transforms patient multi-omic biology into a treatment response report. By simulating therapies across latent biological space, it helps identify which patient populations are most likely to respond, which treatments show the strongest predicted effect, and why biology may drive sensitivity or resistance.
Transforms patient multi-omic biology into a
treatment response report Now
Reveal Treatment Response from Biology
01
Latent Space
Every patient embedded by biology
oncoREVEAL maps patient multi-omic profiles into latent space, organizing tumors by underlying biological state rather than cancer type alone.
Biology Inputs
Patient Omics
Latent Biology
01
Latent Space
Every patient embedded by biology
oncoREVEAL maps patient multi-omic profiles into latent space, organizing tumors by underlying biological state rather than cancer type alone.
Biology Inputs
Patient Omics
Latent Biology
01
Latent Space
Every patient embedded by biology
oncoREVEAL maps patient multi-omic profiles into latent space, organizing tumors by underlying biological state rather than cancer type alone.
Biology Inputs
Patient Omics
Latent Biology
02
Simulate at Scale
Thousands of drugs and combinations tested in silico
The platform runs large-scale AI-driven simulations across the latent space to evaluate predicted response for therapies, combinations, and biology-defined patient groups.
Simulation Layer
Drug Screens
Combination Models
02
Simulate at Scale
Thousands of drugs and combinations tested in silico
The platform runs large-scale AI-driven simulations across the latent space to evaluate predicted response for therapies, combinations, and biology-defined patient groups.
Simulation Layer
Drug Screens
Combination Models
02
Simulate at Scale
Thousands of drugs and combinations tested in silico
The platform runs large-scale AI-driven simulations across the latent space to evaluate predicted response for therapies, combinations, and biology-defined patient groups.
Simulation Layer
Drug Screens
Combination Models
03
Mechanistic Characterization
Response and resistance mechanisms are explained
The report links predicted response to molecular programs, pathway activity, and biological mechanisms that may explain sensitivity, resistance, or progression.
Mechanistic Insights
Pathways / Resistance
Response Drivers
03
Mechanistic Characterization
Response and resistance mechanisms are explained
The report links predicted response to molecular programs, pathway activity, and biological mechanisms that may explain sensitivity, resistance, or progression.
Mechanistic Insights
Pathways / Resistance
Response Drivers
03
Mechanistic Characterization
Response and resistance mechanisms are explained
The report links predicted response to molecular programs, pathway activity, and biological mechanisms that may explain sensitivity, resistance, or progression.
Mechanistic Insights
Pathways / Resistance
Response Drivers
04
Ranked Report
Treatment options are ranked by predicted response
oncoREVEAL produces a structured report with ranked therapeutic opportunities, cohort-level evidence, and mechanistic rationale for review by clinicians and tumor boards.
Strategy Milestones
Therapy Ranking
Rationale for MTB Review
04
Ranked Report
Treatment options are ranked by predicted response
oncoREVEAL produces a structured report with ranked therapeutic opportunities, cohort-level evidence, and mechanistic rationale for review by clinicians and tumor boards.
Strategy Milestones
Therapy Ranking
Rationale for MTB Review
04
Ranked Report
Treatment options are ranked by predicted response
oncoREVEAL produces a structured report with ranked therapeutic opportunities, cohort-level evidence, and mechanistic rationale for review by clinicians and tumor boards.
Strategy Milestones
Therapy Ranking
Rationale for MTB Review
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.
Order DEEP360 Now
Sign up to get started. Book a discovery call to see how DEEP360 can predict treatment response for your patient populations and get your account set up.
What is DECODE?
DECODE is a clinical decision engine that transforms clinical trial, real-world evidence, and patient omics data into mechanistic insight for oncology development.
What problem does DECODE solve?
DECODE helps teams understand why patients respond, resist, or progress by decoding latent biology hidden within clinical and multi-omic data.
What data does DECODE use?
DECODE can integrate clinical trial data, patient outcomes, metadata, and multi-omic profiles to map biology across a trial population.
What is the final output of DECODE?
DECODE produces decision-ready evidence, including responder-enriched populations, mechanistic hypotheses, validation signals, and trial strategy recommendations.
Can DECODE be hosted privately?
Yes. DECODE can be deployed in a secure Nexomic-managed environment or within a private cloud or on-premise infrastructure, depending on data governance and security requirements.
What is DECODE?
DECODE is a clinical decision engine that transforms clinical trial, real-world evidence, and patient omics data into mechanistic insight for oncology development.
What problem does DECODE solve?
DECODE helps teams understand why patients respond, resist, or progress by decoding latent biology hidden within clinical and multi-omic data.
What data does DECODE use?
DECODE can integrate clinical trial data, patient outcomes, metadata, and multi-omic profiles to map biology across a trial population.
What is the final output of DECODE?
DECODE produces decision-ready evidence, including responder-enriched populations, mechanistic hypotheses, validation signals, and trial strategy recommendations.
Can DECODE be hosted privately?
Yes. DECODE can be deployed in a secure Nexomic-managed environment or within a private cloud or on-premise infrastructure, depending on data governance and security requirements.
What is DECODE?
DECODE is a clinical decision engine that transforms clinical trial, real-world evidence, and patient omics data into mechanistic insight for oncology development.
What problem does DECODE solve?
DECODE helps teams understand why patients respond, resist, or progress by decoding latent biology hidden within clinical and multi-omic data.
What data does DECODE use?
DECODE can integrate clinical trial data, patient outcomes, metadata, and multi-omic profiles to map biology across a trial population.
What is the final output of DECODE?
DECODE produces decision-ready evidence, including responder-enriched populations, mechanistic hypotheses, validation signals, and trial strategy recommendations.
Can DECODE be hosted privately?
Yes. DECODE can be deployed in a secure Nexomic-managed environment or within a private cloud or on-premise infrastructure, depending on data governance and security requirements.
The Greenway, Block C,
112-114 St Stephen's Green,
Dublin 2, D02 TD28
Dublin, Ireland
The first tumor-agnostic AI report for treatment response.
Explore oncoREVEAL
DEEP360 transforms patient multi-omic biology into a treatment response report. By simulating therapies across latent biological space, it helps identify which patient populations are most likely to respond, which treatments show the strongest predicted effect, and why biology may drive sensitivity or resistance.
Transforms patient multi-omic biology into a
treatment response report Now
The first tumor-agnostic AI report for treatment response.
Explore oncoREVEAL
DEEP360 transforms patient multi-omic biology into a treatment response report. By simulating therapies across latent biological space, it helps identify which patient populations are most likely to respond, which treatments show the strongest predicted effect, and why biology may drive sensitivity or resistance.
Transforms patient multi-omic biology into a
treatment response report Now
The first tumor-agnostic AI report for treatment response.
Explore oncoREVEAL
DEEP360 transforms patient multi-omic biology into a treatment response report. By simulating therapies across latent biological space, it helps identify which patient populations are most likely to respond, which treatments show the strongest predicted effect, and why biology may drive sensitivity or resistance.
Transforms patient multi-omic biology into a
treatment response report Now
Reveal Treatment Response from Biology
01
Latent Space
Every patient embedded by biology
oncoREVEAL maps patient multi-omic profiles into latent space, organizing tumors by underlying biological state rather than cancer type alone.
Biology Inputs
Patient Omics
Latent Biology
01
Latent Space
Every patient embedded by biology
oncoREVEAL maps patient multi-omic profiles into latent space, organizing tumors by underlying biological state rather than cancer type alone.
Biology Inputs
Patient Omics
Latent Biology
01
Latent Space
Every patient embedded by biology
oncoREVEAL maps patient multi-omic profiles into latent space, organizing tumors by underlying biological state rather than cancer type alone.
Biology Inputs
Patient Omics
Latent Biology
02
Simulate at Scale
Thousands of drugs and combinations tested in silico
The platform runs large-scale AI-driven simulations across the latent space to evaluate predicted response for therapies, combinations, and biology-defined patient groups.
Simulation Layer
Drug Screens
Combination Models
02
Simulate at Scale
Thousands of drugs and combinations tested in silico
The platform runs large-scale AI-driven simulations across the latent space to evaluate predicted response for therapies, combinations, and biology-defined patient groups.
Simulation Layer
Drug Screens
Combination Models
02
Simulate at Scale
Thousands of drugs and combinations tested in silico
The platform runs large-scale AI-driven simulations across the latent space to evaluate predicted response for therapies, combinations, and biology-defined patient groups.
Simulation Layer
Drug Screens
Combination Models
03
Mechanistic Characterization
Response and resistance mechanisms are explained
The report links predicted response to molecular programs, pathway activity, and biological mechanisms that may explain sensitivity, resistance, or progression.
Mechanistic Insights
Pathways / Resistance
Response Drivers
03
Mechanistic Characterization
Response and resistance mechanisms are explained
The report links predicted response to molecular programs, pathway activity, and biological mechanisms that may explain sensitivity, resistance, or progression.
Mechanistic Insights
Pathways / Resistance
Response Drivers
03
Mechanistic Characterization
Response and resistance mechanisms are explained
The report links predicted response to molecular programs, pathway activity, and biological mechanisms that may explain sensitivity, resistance, or progression.
Mechanistic Insights
Pathways / Resistance
Response Drivers
04
Ranked Report
Treatment options are ranked by predicted response
oncoREVEAL produces a structured report with ranked therapeutic opportunities, cohort-level evidence, and mechanistic rationale for review by clinicians and tumor boards.
Strategy Milestones
Therapy Ranking
Rationale for MTB Review
04
Ranked Report
Treatment options are ranked by predicted response
oncoREVEAL produces a structured report with ranked therapeutic opportunities, cohort-level evidence, and mechanistic rationale for review by clinicians and tumor boards.
Strategy Milestones
Therapy Ranking
Rationale for MTB Review
04
Ranked Report
Treatment options are ranked by predicted response
oncoREVEAL produces a structured report with ranked therapeutic opportunities, cohort-level evidence, and mechanistic rationale for review by clinicians and tumor boards.
Strategy Milestones
Therapy Ranking
Rationale for MTB Review
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.
Order DEEP360 Now
Sign up to get started. Book a discovery call to see how DEEP360 can predict treatment response for your patient populations and get your account set up.
What is DECODE?
DECODE is a clinical decision engine that transforms clinical trial, real-world evidence, and patient omics data into mechanistic insight for oncology development.
What problem does DECODE solve?
DECODE helps teams understand why patients respond, resist, or progress by decoding latent biology hidden within clinical and multi-omic data.
What data does DECODE use?
DECODE can integrate clinical trial data, patient outcomes, metadata, and multi-omic profiles to map biology across a trial population.
What is the final output of DECODE?
DECODE produces decision-ready evidence, including responder-enriched populations, mechanistic hypotheses, validation signals, and trial strategy recommendations.
Can DECODE be hosted privately?
Yes. DECODE can be deployed in a secure Nexomic-managed environment or within a private cloud or on-premise infrastructure, depending on data governance and security requirements.
What is DECODE?
DECODE is a clinical decision engine that transforms clinical trial, real-world evidence, and patient omics data into mechanistic insight for oncology development.
What problem does DECODE solve?
DECODE helps teams understand why patients respond, resist, or progress by decoding latent biology hidden within clinical and multi-omic data.
What data does DECODE use?
DECODE can integrate clinical trial data, patient outcomes, metadata, and multi-omic profiles to map biology across a trial population.
What is the final output of DECODE?
DECODE produces decision-ready evidence, including responder-enriched populations, mechanistic hypotheses, validation signals, and trial strategy recommendations.
Can DECODE be hosted privately?
Yes. DECODE can be deployed in a secure Nexomic-managed environment or within a private cloud or on-premise infrastructure, depending on data governance and security requirements.
What is DECODE?
DECODE is a clinical decision engine that transforms clinical trial, real-world evidence, and patient omics data into mechanistic insight for oncology development.
What problem does DECODE solve?
DECODE helps teams understand why patients respond, resist, or progress by decoding latent biology hidden within clinical and multi-omic data.
What data does DECODE use?
DECODE can integrate clinical trial data, patient outcomes, metadata, and multi-omic profiles to map biology across a trial population.
What is the final output of DECODE?
DECODE produces decision-ready evidence, including responder-enriched populations, mechanistic hypotheses, validation signals, and trial strategy recommendations.
Can DECODE be hosted privately?
Yes. DECODE can be deployed in a secure Nexomic-managed environment or within a private cloud or on-premise infrastructure, depending on data governance and security requirements.
The Greenway, Block C,
112-114 St Stephen's Green,
Dublin 2, D02 TD28
Dublin, Ireland
The first tumor-agnostic AI report for treatment response.
Explore oncoREVEAL
DEEP360 transforms patient multi-omic biology into a treatment response report. By simulating therapies across latent biological space, it helps identify which patient populations are most likely to respond, which treatments show the strongest predicted effect, and why biology may drive sensitivity or resistance.
Transforms patient multi-omic biology into a
treatment response report Now
The first tumor-agnostic AI report for treatment response.
Explore oncoREVEAL
DEEP360 transforms patient multi-omic biology into a treatment response report. By simulating therapies across latent biological space, it helps identify which patient populations are most likely to respond, which treatments show the strongest predicted effect, and why biology may drive sensitivity or resistance.
Transforms patient multi-omic biology into a
treatment response report Now
The first tumor-agnostic AI report for treatment response.
Explore oncoREVEAL
DEEP360 transforms patient multi-omic biology into a treatment response report. By simulating therapies across latent biological space, it helps identify which patient populations are most likely to respond, which treatments show the strongest predicted effect, and why biology may drive sensitivity or resistance.
Transforms patient multi-omic biology into a
treatment response report Now
Reveal Treatment Response from Biology
01
Latent Space
Every patient embedded by biology
oncoREVEAL maps patient multi-omic profiles into latent space, organizing tumors by underlying biological state rather than cancer type alone.
Biology Inputs
Patient Omics
Latent Biology
01
Latent Space
Every patient embedded by biology
oncoREVEAL maps patient multi-omic profiles into latent space, organizing tumors by underlying biological state rather than cancer type alone.
Biology Inputs
Patient Omics
Latent Biology
01
Latent Space
Every patient embedded by biology
oncoREVEAL maps patient multi-omic profiles into latent space, organizing tumors by underlying biological state rather than cancer type alone.
Biology Inputs
Patient Omics
Latent Biology
02
Simulate at Scale
Thousands of drugs and combinations tested in silico
The platform runs large-scale AI-driven simulations across the latent space to evaluate predicted response for therapies, combinations, and biology-defined patient groups.
Simulation Layer
Drug Screens
Combination Models
02
Simulate at Scale
Thousands of drugs and combinations tested in silico
The platform runs large-scale AI-driven simulations across the latent space to evaluate predicted response for therapies, combinations, and biology-defined patient groups.
Simulation Layer
Drug Screens
Combination Models
02
Simulate at Scale
Thousands of drugs and combinations tested in silico
The platform runs large-scale AI-driven simulations across the latent space to evaluate predicted response for therapies, combinations, and biology-defined patient groups.
Simulation Layer
Drug Screens
Combination Models
03
Mechanistic Characterization
Response and resistance mechanisms are explained
The report links predicted response to molecular programs, pathway activity, and biological mechanisms that may explain sensitivity, resistance, or progression.
Mechanistic Insights
Pathways / Resistance
Response Drivers
03
Mechanistic Characterization
Response and resistance mechanisms are explained
The report links predicted response to molecular programs, pathway activity, and biological mechanisms that may explain sensitivity, resistance, or progression.
Mechanistic Insights
Pathways / Resistance
Response Drivers
03
Mechanistic Characterization
Response and resistance mechanisms are explained
The report links predicted response to molecular programs, pathway activity, and biological mechanisms that may explain sensitivity, resistance, or progression.
Mechanistic Insights
Pathways / Resistance
Response Drivers
04
Ranked Report
Treatment options are ranked by predicted response
oncoREVEAL produces a structured report with ranked therapeutic opportunities, cohort-level evidence, and mechanistic rationale for review by clinicians and tumor boards.
Strategy Milestones
Therapy Ranking
Rationale for MTB Review
04
Ranked Report
Treatment options are ranked by predicted response
oncoREVEAL produces a structured report with ranked therapeutic opportunities, cohort-level evidence, and mechanistic rationale for review by clinicians and tumor boards.
Strategy Milestones
Therapy Ranking
Rationale for MTB Review
04
Ranked Report
Treatment options are ranked by predicted response
oncoREVEAL produces a structured report with ranked therapeutic opportunities, cohort-level evidence, and mechanistic rationale for review by clinicians and tumor boards.
Strategy Milestones
Therapy Ranking
Rationale for MTB Review
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.
Order DEEP360 Now
Sign up to get started. Book a discovery call to see how DEEP360 can predict treatment response for your patient populations and get your account set up.
What is DECODE?
DECODE is a clinical decision engine that transforms clinical trial, real-world evidence, and patient omics data into mechanistic insight for oncology development.
What problem does DECODE solve?
DECODE helps teams understand why patients respond, resist, or progress by decoding latent biology hidden within clinical and multi-omic data.
What data does DECODE use?
DECODE can integrate clinical trial data, patient outcomes, metadata, and multi-omic profiles to map biology across a trial population.
What is the final output of DECODE?
DECODE produces decision-ready evidence, including responder-enriched populations, mechanistic hypotheses, validation signals, and trial strategy recommendations.
Can DECODE be hosted privately?
Yes. DECODE can be deployed in a secure Nexomic-managed environment or within a private cloud or on-premise infrastructure, depending on data governance and security requirements.
What is DECODE?
DECODE is a clinical decision engine that transforms clinical trial, real-world evidence, and patient omics data into mechanistic insight for oncology development.
What problem does DECODE solve?
DECODE helps teams understand why patients respond, resist, or progress by decoding latent biology hidden within clinical and multi-omic data.
What data does DECODE use?
DECODE can integrate clinical trial data, patient outcomes, metadata, and multi-omic profiles to map biology across a trial population.
What is the final output of DECODE?
DECODE produces decision-ready evidence, including responder-enriched populations, mechanistic hypotheses, validation signals, and trial strategy recommendations.
Can DECODE be hosted privately?
Yes. DECODE can be deployed in a secure Nexomic-managed environment or within a private cloud or on-premise infrastructure, depending on data governance and security requirements.
What is DECODE?
DECODE is a clinical decision engine that transforms clinical trial, real-world evidence, and patient omics data into mechanistic insight for oncology development.
What problem does DECODE solve?
DECODE helps teams understand why patients respond, resist, or progress by decoding latent biology hidden within clinical and multi-omic data.
What data does DECODE use?
DECODE can integrate clinical trial data, patient outcomes, metadata, and multi-omic profiles to map biology across a trial population.
What is the final output of DECODE?
DECODE produces decision-ready evidence, including responder-enriched populations, mechanistic hypotheses, validation signals, and trial strategy recommendations.
Can DECODE be hosted privately?
Yes. DECODE can be deployed in a secure Nexomic-managed environment or within a private cloud or on-premise infrastructure, depending on data governance and security requirements.
The Greenway, Block C,
112-114 St Stephen's Green,
Dublin 2, D02 TD28
Dublin, Ireland