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This project is exactly why we are a founding partner of the Global Ovarian Cancer Research Consortium.

Tania Vrionis, CEO, Ovarian Cancer Canada

About the Research Project

The global, multi-disciplinary research team includes experts on artificial intelligence, medical oncology, epidemiology, immunology, and molecular oncology, along with two patient partners who will contribute their first-hand experience of an ovarian cancer diagnosis. Together, the team will use AI to analyze one of the largest international collections of ovarian cancer data to uncover patterns linked to patients’ treatment response and overall survival; these are patterns that the tools available today cannot detect. The research team hopes that their AI models will create new tools that will enable doctors provide patients with more personalized care, reducing unnecessary side effects, and improving survival rates.

For me, this research project reads like it’s been built by patients, for patients,” reflects Donna Pepin, a Canadian woman diagnosed with ovarian cancer herself. “As an Ovarian Cancer Canada Patient Partner in Research, I am proud to have supported a research study that holds great promise. This project could transform the clinical management of high grade serous ovarian cancer and most importantly, save the lives of those who are suffering with this disease.”

New discoveries are urgently needed to unlock lifesaving treatments for ovarian cancer,” said Juan Lavista Ferres, Microsoft Chief Data Scientist and Director of Microsoft’s AI for Good Lab. “This work demonstrates what becomes possible when deep scientific expertise is paired with cutting‑edge AI. By equipping leading researchers around the world with advanced AI tools and computing resources, we can accelerate their critical efforts that have the potential to save lives.

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For me, this research project reads like it’s been built by patients, for patients.

Donna, Patient Partner in Research

The research team behind the project includes:

  • Ali Bashashati, Director of Artificial Intelligence Research, Ovarian Cancer Research Program (OVCARE), University of British Columbia, Canada;
  • Dr. (Celeste) Leigh Pearce, Lead Researcher, Professor, Rogel Cancer Center and Department of Epidemiology, University of Michigan, United States;
  • Professor Susan Ramus, Professor in the School of Clinical Medicine and Lead, Molecular Oncology Group, University of New South Wales, Australia; and
  • Professor James Brenton, Professor of Ovarian Cancer Medicine, Senior Group Leader and Honorary Consultant in Medical Oncology, University of Cambridge, United Kingdom.

Researchers in British Columbia have been leading the way on ovarian cancer care – including, diagnosis and personalized treatment – for more than a decade. I am proud to be part of expanding our province and nation’s leadership in artificial intelligence and ovarian cancer care on a global stage,” shares Dr. Ali Bashashati, the Canadian lead researcher on the project and Director of Artificial Intelligence for the Ovarian Cancer Research Program at the University of British Columbia.

The AI Accelerator Grant was first announced in 2025 as the inaugural initiative of the Global Ovarian Cancer Research Consortium, marking a new, collaborative approach to accelerating ovarian cancer research using artificial intelligence. Formed in 2024, the Consortium unites four leading ovarian cancer research organizations from around the world — Ovarian Cancer Research Alliance (United States), Ovarian Cancer Research Foundation (Australia), Ovarian Cancer Canada, and Ovarian Cancer Action (United Kingdom). Together, the partners are combining resources, data, and determination to accelerate progress in a disease where survival rates have seen limited improvement for decades.

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I am proud to be part of expanding our nation's leadership in artificial intelligence and ovarian cancer care on a global stage

Dr. Ali Bashashati, Director of Artificial Intelligence - UBC Ovarian Cancer Research Program