Contribution: Industrial Research Assistance Program – Contributions to Firms
Altis Labs, Inc.
$344,000.00
AI-based prognosis for breast cancer
FY 2025-26 · 2025-09-01
Summary
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.
Department
Program
Industrial Research Assistance Program – Contributions to FirmsIndustrial Research Assistance Program-Contributions to Firms (linked with high confidence)
Recipient
Location
Toronto|Toronto, Ontario, Canada
Recipient Type
For-profit organization
Business Number
703643080
Type
Contribution
Source
Proactive Disclosure - Grants and Contributions
As published
Agreement End Date
2027-03-08
Agreement Number
1034479
Agreement Start Date
2025-09-01
Agreement Title
AI-based prognosis for breast cancer
Agreement Title (French)
Pronostic du cancer du sein basé sur l’IA
Agreement Type
Contribution
Agreement Value
$344,000.00
Amendment Number
0
Coverage
IRAP Contributions to Firms projects stimulate wealth creation for Canada through technological innovation. | Les projets des Contributions aux entreprises stimulent la création de richesse au Canada grâce à l’innovation technologique.
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.
Description (French)
L’utilisation de biomarqueurs d’imagerie pronostiques automatisés dans la pratique clinique peut améliorer la (re)stadification et l’évaluation de la réponse, car elle pourrait informer une sélection de traitement et un suivi des patients plus personnalisés, ce qui pourrait à son tour conduire à de meilleurs résultats pour les patients. L’objectif de ce projet est de développer des biomarqueurs d’imagerie automatisés, basés sur l’apprentissage profond, qui prédisent les résultats des patientes atteintes d’un cancer du sein avec des tumeurs solides sur la base de diverses modalités d’imagerie médicale. En permettant à un réseau neuronal artificiel d’« apprendre » quelles caractéristiques visuelles dans des milliers d’études d’imagerie sont associées aux résultats futurs réels des patients respectifs, l’algorithme d’apprentissage profond résultant sera en mesure de prédire la survie pour l’étude d’imagerie d’un nouveau patient.
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
Expected Results (French)
Le PARI, par le biais des Contributions aux entreprises, vise à appuyer la recherche, le développement, l’adaptation et/ou l’adoption au Canada de produits, de services ou de processus novateurs ou axés sur des technologies nouvelles ou améliorées, et ce jusqu’à leur commercialisation
Federal Riding
University--Rosedale
Federal Riding (French)
University--Rosedale
Federal Riding Number
35110
NAICS Code
511211
Organization Code
nrc-cnrc
Organization
National Research Council Canada | Conseil national de recherches Canada
Program Name
Industrial Research Assistance Program – Contributions to Firms
Program Name (French)
Programme d’aide à la recherche industrielle – Contributions aux entreprises
Program Purpose
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
Program Purpose (French)
Le PARI, par le biais des Contributions aux entreprises, vise à appuyer la recherche, le développement, l’adaptation et/ou l’adoption au Canada de produits, de services ou de processus novateurs ou axés sur des technologies nouvelles ou améliorées, et ce jusqu’à leur commercialisation
Recipient Business Number
703643080
Recipient City
Toronto|Toronto
Recipient Country
CA
Recipient Legal Name
Altis Labs, Inc.
Recipient Operating Name
Altis Labs
Recipient Postal Code
M5G 1L7
Recipient Province or Territory
ON
Recipient Type
F
Reference Number
172-2025-2026-Q2-1034479
