Two Doctors Talking As They Walk Through Modern Hospital

Reach your maximum treatment capacity.
Optimize your center’s treatment schedule.

Choosing when, where and how long to treat each cancer patient can be an arduous task that often results in a waste of potential treatment bandwidth. Gray automatically generates scheduling templates specific to your center, ensuring your patients get the care they deserve as quickly and stress-free as possible.

Find out how many more patients you could be treating with Gray:

Female Doctor Using Digital Tablet Talking With Patients

Personalized to your patients,
your staff, your center.

We understand that oncology departments are highly variable and that yours is no exception. Gray’s optimizer will learn how your center stands out, and adjust accordingly in order to optimize your treatment potential.

Nation leader in treating H&N? Perform more SBRT than any other hospital? Gray will account for that.

Reusable templates or constantly adapting schedules

  • Generate a reusable scheduling template upon which you can slot in patients weekly.
  • Specific to your center’s historical data.
  • Does not adapt to future changes in your center’s workflow.
OR
  • Generate a new scheduling template each week, to constantly account for changes in practice.
  • Track metrics week-by-week to understand where you can increase efficiency gains even further.
  • Adapts to change.
Man Receiving Electron Radiation Therapy Treatments for Cancer

Explicitly incorporate
patient desire into scheduling

Scheduling appointments has always been such a chaotic task that the concept of accounting for patient preferences was impossible. No longer. Gray’s on-the-fly patient scheduling platform will explicitly account for your patient’s desires.

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The Team

André Diamant

André Diamant

Founder & CEO

PhD Medical Physics, specialized in deep learning for outcome prediction in oncology.

Marc-André Renaud

Marc-André Renaud

Founder & CSO

PhD Medical Physics, specialized in optimization and radiation therapy treatment planning.

Stavros Korokithakis

Stavros Korokithakis

Founder & CTO

MSc machine learning, specialized in secure back-end development and deployment.

Jan Seuntjens

Jan Seuntjens

Founding Advisor

James McGill Professor. Director of the McGill University Medical Physics Unit

Louis-Martin Rousseau

Louis-Martin Rousseau

Founding Advisor

Full Professor, Polytechnique Montreal. Canada research chair in Healthcare Logistics.

Nadia Lahrichi

Nadia Lahrichi

Founding Advisor

Associate Professor, Polytechnique Montreal.