top of page

BioTwin Policies

Privacy 

Policy

BioTwin is committed to protecting your privacy and takes reasonable measures to ensure the security of your information. A detailed policy explains how we collect, use, and disclose your personal information, as well as how you can access and correct it. By using our website, app, or agreeing to receive emails from BioTwin, you agree to the terms of this policy.

 

We collect personal information from you in various ways, such as when you access our website, download our app, or provide information through our questionnaires and forms. This includes general personal information such as your name, age, email address, sex, and ethnicity, as well as biometric and biological personal information such as medical history, dietary habits, and physical activity.

 

We use your personal information for several purposes, including to operate, maintain, and provide our websites and applications, to provide customers with health information and assessments based on artificial intelligence, and for internal purposes such as data analysis and research. We may also share your information with partners and third parties to fulfill contractual obligations.

 

We take reasonable measures to protect your personal information, but no method of transmission over the Internet is 100% secure. Your information may be stored and processed in countries outside of your residence, but we will maintain it for as long as necessary to provide our services or as required by law.

 

You have the right to withdraw your consent to the use and disclosure of your personal information by email us a at go@biotwin.ai

 

We may update this policy from time to time, so we encourage you to check it regularly. If you have any questions or concerns about this policy or your personal information, Mr. Louis Philippe Noel Data Protection Officer.

For questions, write us at dpo@biotwin.ai

 

We also encourage you visit the Detailed policy.

Updated: May 8, 2023

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

Social News

Ethical

Policy

Last Update: March, 3rd, 2021

Hello there! We are BioTwin (“BioTwin”, “we”, “us” or “our”).   BioTwin holds itself to the highest standards of ethics. We understand the power of AI, but most importantly, we understand the significance of health data. We consider health data to be the most personal type of data there is, and for this reason, we hold ourselves accountable to very strict data management policies following

 

6 guiding principles.  

  • Mission-Driven – Our mission is to empower health professional to save more lives and improve the quality of life of their patients driven by this mission. We act with great care and purpose and work together with partners to deliver solutions that benefit patients.

 

  • Always Anonymous – We believe not knowing who the health data belong to is the best form of privacy. Our business model and collaborations are designed so health data always remain anonymous. We treat the data internally using proprietary methodologies and only the insights coming from the transformed reaches your service providers.

 

  • Fully Accountable – We are responsible of our platform, our solutions and your data. If we use third party solutions or services, or collaborate with partners, we make sur there are no grey areas so we always know who is in charge.

 

  • Security-First – Our platform is built and tested to prevent possible misuse and to insure the highest level of security.

 

  • Transparent for All – We aim for transparency by making our processes and operations clear and easy to understand as possible for partners, customers, end-users and other stakeholders. We follow industry best practices.

 

  • Fairness – We believe in fairness in gender diversity and racial equality and understand the challenges that comes in order to achieve it. Fairness is applied through the selection of dataset and algorithms and bias are corrected as soon as detected.

 

If you have any questions regarding our ethical policy, do not hesitate to reach out to us, we are here to help! You can e-mail us at info@biotwin.ai  

bottom of page