Grants and Contributions:

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Title:

AI-based prognosis for breast cancer

Agreement Number:

1034479

Agreement Value:

$344,000.00

Agreement Date:

Sep 1, 2025 - Mar 8, 2027

Description:

The use of automated prognostic imaging biomarkers in clinical practice may enhance (re-) staging and response assessment, as it could inform more personalized treatment selection and patient monitoring, which in turn could lead to improved patient outcomes. The purpose of this project is to develop automated, deep learning-based imaging biomarkers that predict outcomes of breast cancer patients with solid tumors based on various modalities of medical imaging. By enabling an artificial neural network to “learn” what visual features in thousands of imaging studies are associated with respective patients’ actual future outcomes, the resulting deep learning algorithm will be able to predict survival for a new patient’s imaging study.

Organization:

National Research Council Canada

Expected Results:

The purpose of IRAP Contributions to Firms is to support research, development, adoption and/or adaptation of innovative or technology-driven new or improved products, services or processes in Canada up to their commercialization

Location:

Toronto, Ontario, CA M5G 1L7

Reference Number:

172-2025-2026-Q2-1034479

Agreement Type:

Contribution

Report Type:

Grants and Contributions

Recipient Business Number:

703643080

Recipient Type:

For-profit organization

Recipient's Operating Name:

Altis Labs

Recipient's Legal Name:

Altis Labs, Inc.

Federal Riding Name:

University--Rosedale

Federal Riding Number:

35110

Program:

Industrial Research Assistance Program – Contributions to Firms

Program Purpose:

Coverage:

IRAP Contributions to Firms projects stimulate wealth creation for Canada through technological innovation.

NAICS Code:

511211