The Responsible AI Health Fund

“Guiding the Health
Innovation Cycle”

Linearis Ventures, the Responsible AI Health Fund, is an evergreen fund that provides capital and disease signatures in Cancer, AMR and Diabetes to facilitate diagnosis, monitoring treatment and improve drug discovery for our partners. Linearis Labs, its operating entity, is expanding omics testing & discoveries capabilities in North America, Europe and Asia. Linearis is working with leaders in both AI and Metabolomics to generate quantitative and actionable AI-friendly data as part of their AI pipelines. Some recent work involves omics signatures for COVID-19 and cancer.

Finding Diseases Signatures

Linearis Labs couples high throughput technology and Mass Spectrometry to provide metabolomics analysis of blood plasma or serum for diseases including cancer, diabetes and infectious diseases which have significant metabolomics components. Using an AI Pipeline, disease signatures are discovered and can provide staging of several types of metabolomic diseases (cancer, diabetes, infectious diseases), the effectiveness of therapeutic interventions, and the emergence of resistance and side effects of treatments.

Biobank Analysis Services

Linearis labs offers metabolomics profiling services. Services include both targeted and untargeted LC-MS measurements. High throughput procedures are also available to process thousands of samples using laser diode thermal desorption mass spectrometry. The analyses are carried out in a certified environment and are of clinical quality. The data is made available in an AI friendly format for machine learning based analysis. Linearis labs can also perform data analysis with state-of-the-art machine learning algorithms. As metabolomics is closer to the phenotype of interest, it is a great advantage for biobanks to acquire metabolomics data (e.g. UK Biobank). Moreover, there is now an expectation that multiomics analyses will be available for publication and for better interpretation of the diseases under analysis.

To Complete the Health Innovation Cycle

Multi-Omics disease signatures found in Linearis Labs will amplify, along with capital from Linearis Ventures, the innovation cycle of Diagnostics, Treatment Monitoring and AI Drug Discovery Companies.

Creating Targets in the
Health Continuum

Prevention

Fast
Accurate
Affordable

Early Diagnostics

Personalized Treatment
Predictive Response

Drug Discovery

In Silico – Vitro – Vivo
Feedback Loop &
Optimization for
Curative treatments

Accessible & Responsible

Accessible
Societal benefits for Cancer Diabetes &
AMR aligned with
financial incentives

Metabolomic Signatures along with their supporting AI-Friendly Data and AI Pipelines provides each partner great impetus for the specific disease application in Prevention, Early Diagnostics and Drug Discovery.

Yoshua Bengio

Ph.D., Advisor AI

Founder, Scientific Director of Mila.

Drug Discovery Research

Most cited
informatics scientist
A.M. Turing Prize

Manon Boisclair

MS, MBA, ICD.D
Venture Partner

Founder InnovID B2
Board Committee of Canadian Cancer Society, Gray Oncology, MedHelper
BioPharma Exec (Merck, Novartis, Celgene, Intercept)

Angel Investor and LP

Nathalie Tremblay

MBA Ph.D. candidate,
Strasbourg University

CEO (1995-2020),
Quebec Breast Cancer Foundation
Member, Academy of Management
Researcher, HEC Montréal
Chair, audit committee, FRQS

Innovation

David Wishart

Ph.D., Advisor Metabolomics

Distinguished University
Professor (UA). Founder &
Scientific Co-director, The
Metabolomics Innovation
Centre (TMIC). Co-founder
of biotech companies.
Creator of Human Metabolome Database

Fellow of the Royal
Society of Canada

Jacques Corbeil

Ph.D., Partner

Canada Research Chair in
Medical Genomics
Interface between AI
and omics
Research supervision
Metabolomics signatures
Brought Drug to Market

Canadian Senate 150th
Medal recipient

Alexandre
Le Bouthillier

Ph.D., Partner

Co-founder Imagia
Board of Mila, IVADO,
MEDTEQ+, Montréal InVivo.
Acquisition, Grants,
Exits and Financing

FRQNT, CRSNG, FCAR, ATC,
Environment Canada prizes

Investment criteria

The Responsible AI Health Fund

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