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Precision
HEALTH

Oncology Research Project

Developing Innovative Healthcare Related Decision Support Tools

START YOUR VIRTUAL TWIN
BioTwin's Oncology Research Project to develop innovative healthcare support tools
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Join BioTwin’s Research Project 

 

The BioTwin Oncology research project is approved by an independent ethics review board and aimed at developing novel decision support tools and metabolomic profiles associated with various cancer stages. The research focuses on six (6) cancers that are difficult to detect at an early stage, as they are often asymptomatic (pancreas, colorectal, lung, ovary) or highly prevalent (breast, prostate).

The general population can contribute to this oncology research project by joining a control group.   

4 expected outcomes for the BioTwin's Oncology Research Project

Expected Outcomes of the Research

The Oncology research project's primary objectives are to bring to commercialization oncology innovative tools to assist healthcare professionals with:

  1. Early detection  

  2. Prognostic  

  3. Treatment decision  

  4. Recurrence prediction  

Who is eligible for BioTwin's Oncology Research Project

Who is eligible?

BioTwin invites diagnosed patients with cancer, at-risk patients, and the general population to join the project.

 

Diagnosed or in remission patients. 

  • Pancreatic 

  • Colorectal 

  • Lung, and sous-types 

  • Ovarian 

  • Breast, and  

  • Prostate  

  • Other (note that other types of cancers are also accepted) 

 

At-Risk Patients & General Population 

  • Invited to join as a reference group

 

All participants must be at least 14 years old to join the research project.  

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How to Join the Oncology Research Project?

BioTwin makes it easy to join the Oncology Research Project. Follow the steps below to get started.

Step 1: Create a user account via TwinMe.

To create a user account on TwinMe you by provide a valid email address and create a password. 

Step 2: Complete the "Profile Questionnaire".

Completing the profile questionnaire provides basic information, to calibrate and initiate the development of your user account.  

Step 3: Complete the "Cancer Questionnaire".

This questionnaire is designed for us to get a better understanding of how you are affected by cancer.

Step 4: Order your Free "At-Home Sample Kit".

To complete the process, you'll order an at-home sample kit, which we will deliver to you free of charge. The kit will contain clear instructions and tools required to take non-invasive samples.  

Please note that participants in this research project will not receive individual oncology-related results. Learn more about BioTwin's Privacy Policies.

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Canada National Research Council Canada Logo for BioTwin's Oncology Research Project
Foundation quebecoise du cancer logo for BioTwin's Oncology Research Project
Procure cancer logo for BioTwin's Oncology Research Project
Onco Quebec for BioTwin's Oncology Research Project
OQPAC logo for BioTwin's Oncology Research Project
Q-Croc logo for BioTwin's Oncology Research Project

Oncology Partners & Associations

Personalized Healthcare Solutions:

Using the virtual twin as a basis, personalized healthcare solutions can be developed. These solutions may include customized treatment plans, preventive measures, lifestyle modifications, and targeted interventions based on the individual's unique health profile.

Health Monitoring and Predictive Analysis:

The virtual twin is employed to monitor the individual's health in real-time. It can provide insights on current health status, identify potential risks, and offer personalized recommendations for maintaining or improving health.

Virtual Twin Creation

Utilizing the algorithms and the collected data, a virtual twin is created. The virtual twin is a digital representation of an individual's health profile, incorporating various aspects such as genetic predispositions, risk factors, disease history, and lifestyle information.

Algorithm Development:

Advanced algorithms are developed to process and analyze the collected data. These algorithms identify patterns, correlations, and insights that can be used to build a comprehensive virtual representation of an individual's health.

Data Collection:

The research teams gather relevant data about individuals' health, including biomarkers, genetic information, medical records, and lifestyle data. This data serves as the foundation for creating the virtual twin.

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Affiliations, Partners & Collaborators

Affiliations, Partners & Collaborators

economie et innovation quebec
amazon web services
microsoft for startups
novo nordisk
IBM hyper protect accelerator
institut universitaire de cardiologie et de pneumologie de quebec universite laval
KPMG
novo nordsk digital innovation hub itu
Harvard medical school
concordia university

Affiliations, Partners & Collaborators

Affiliations, Partners & Collaborators

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