Altis Labs | Product

How IPRO works

1 Index

Upload imaging data to Nota, where it is automatically quality controlled and indexed, yielding a clean, queryable dataset that R&D teams can analyze.

Upload de-identified DICOM data to a dedicated instance of Nota, our web-based platform

Automatically quality-control and index meta- and pixel data

Query data and build cohorts in a secure, access-controlled environment

2 Inference

Trained on our vast real-world database, our AI models automatically generate IPRO scores and Spatial Imaging Biomarkers (SIBs) for each scan.

Automatically generate accurate, reproducible predictions for each baseline and follow-up scan

View predictions at the cohort, subject, and scan level

Download quantifications to incorporate into statistical analyses

3 Optimize

Incorporate IPRO scores and SIBs into statistical analysis to make more confident R&D decisions and get the best novel treatments to patients sooner.

Detect treatment effect with greater confidence across subpopulations

Inform trial design and go / no-go decisions to increase probability of late-stage success

Generate higher quality evidence from existing data to inform reimbursement strategy

Benefits of IPRO

Ease of Implementation

▶

Leverage existing imaging data to its fullest analytical potential

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Instantaneously generate predictions for 1,000+ subjects

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Enrich analyses across past and current Ph 1-3 trials with comprehensive and reproducible quantifications

Focus on
Outcomes

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Instead of relying on arbitrary thresholds, we aim to redefine what it means for clinical trial subjects to "respond" and "progress" by evaluating IPRO against meaningful outcomes

▶

Outcomes are what ultimately matter to patients, physicians, payors, and regulators

Trained on Real-World Imaging Data

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Imaging data is 10⁵times richer than EMR data; a longitudinal 3D reconstruction of the entire human anatomy

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Training IPRO on this data allows predictions to be hyper precise and generalizable across diverse populations

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IPRO models can be applied across therapeutic areas, as imaging is used in screening, staging, and monitoring in most diseases.

Explainable
Predictions

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IPRO's "learned" features reveal their protective or detrimental nature with respect to outcomes, offering novel biological insights

▶

Explainable predictions help our field move beyond reductionist measures that fail to capture the full complexity of disease and toxicity

IPRO for

Biopharma

With partners like:

Predict patient outcomes to

predict trial success.

IPRO unlocks automated predictive insights from patients’ baseline and follow-up scans.

Since radiological imaging is foundational throughout the clinical development cycle, these predictive insights enrich a multitude of research questions and R&D decisions.

With partners like:

IPRO for

Clinician Scientists

With partners like:

Operationalize imaging data to

improve patient outcomes.

IPRO helps clinician scientists analyze clinical imaging data to accelerate scientific breakthroughs at scale.

Medical imaging research requires large, curated, and rigorously labeled datasets. IPRO's spatial imaging biomarkers yield rich, reproducible features that enable researchers to generate new biological insights.

Our fully-automated AI models help researchers generate higher quality data faster so they can increase their scientific throughput and improve patient outcomes.

Accelerate clinical R&D with IPRO.

How IPRO works

1

Index

Upload imaging data to Nota, where it is automatically quality controlled and indexed, yielding a clean, queryable dataset that R&D teams can analyze.

2

Inference

Trained on our vast real-world database, our AI models automatically generate IPRO scores and Spatial Imaging Biomarkers (SIBs) for each scan.

3

Optimize

Incorporate IPRO scores and SIBs into statistical analysis to make more confident R&D decisions and get the best novel treatments to patients sooner.

Benefits of IPRO

Ease of Implementation

Focus on
Outcomes

Trained on Real-World Imaging Data

Explainable
Predictions

Biopharma

With partners like:

Predict patient outcomes to

IPRO unlocks automated predictive insights from patients’ baseline and follow-up scans.

Since radiological imaging is foundational throughout the clinical development cycle, these predictive insights enrich a multitude of research questions and R&D decisions.

With partners like:

Clinician Scientists

With partners like:

Operationalize imaging data to

With partners like:

Want to learn more about IPRO?

Reach out

Accelerate clinical R&D with IPRO.

How IPRO works

1

Index

Upload imaging data to Nota, where it is automatically quality controlled and indexed, yielding a clean, queryable dataset that R&D teams can analyze.

2

Inference

Trained on our vast real-world database, our AI models automatically generate IPRO scores and Spatial Imaging Biomarkers (SIBs) for each scan.

3

Optimize

Incorporate IPRO scores and SIBs into statistical analysis to make more confident R&D decisions and get the best novel treatments to patients sooner.

Benefits of IPRO

Ease of Implementation

Focus on Outcomes

Trained on Real-World Imaging Data

Explainable Predictions

Biopharma

With partners like:

Predict patient outcomes to

IPRO unlocks automated predictive insights from patients’ baseline and follow-up scans.Since radiological imaging is foundational throughout the clinical development cycle, these predictive insights enrich a multitude of research questions and R&D decisions.

With partners like:

Clinician Scientists

With partners like:

Operationalize imaging data to

With partners like:

Want to learn more about IPRO?

Reach out

Focus on
Outcomes

Explainable
Predictions

IPRO unlocks automated predictive insights from patients’ baseline and follow-up scans.

Since radiological imaging is foundational throughout the clinical development cycle, these predictive insights enrich a multitude of research questions and R&D decisions.