Deadline: 23-Jun-2026
The AI Accelerator Grant Program supports international, AI-driven ovarian cancer research collaborations focused on improving prevention, early detection, treatment response, and patient outcomes. It enables large-scale, data-intensive biomedical research using artificial intelligence, computational science, and clinical collaboration.
The program focuses on accelerating scientific discovery in oncology by combining multi-country research teams, advanced AI methods, and secure high-performance computing environments.
Program Overview
The grant supports interdisciplinary research that applies AI to ovarian cancer biology, diagnosis, and treatment. It emphasizes translational research that can improve survival rates and clinical decision-making.
Key research areas include:
- Cancer prevention and initiation mechanisms
- Early detection and screening technologies
- Tumor microenvironment and cancer ecosystem modeling
- Treatment resistance and recurrence prediction
- Patient stratification and risk prediction models
- Medical imaging analysis using AI
- Biomarker discovery and validation
- AI-driven literature synthesis and evidence analysis
- Other computational oncology applications
Funding and Resources
- Up to USD 1 million over 3 years for the Principal Investigator’s institution
- Up to USD 200,000 per year in additional support
- Up to USD 600,000 total in AWS cloud compute credits
- Access to OCRA Discovery Lab Trusted Research Environment for secure data analysis
Eligibility Criteria
Team requirements:
- Minimum of 4 senior lead investigators
- Required representation from:
- One Principal Investigator designated for the grant
- PI may be based in any country if country requirements are met
Investigator requirements:
- Full-time faculty or equivalent academic/research appointments
- Affiliation with accredited universities, medical schools, public health schools, or non-profit research institutes
- Must hold a doctoral degree at submission
- Must not be in training positions such as postdoctoral fellowships or residencies
Additional requirements:
- Must include at least one AI or computational science expert
- Inclusion of clinicians and patient/public partners is strongly encouraged
- No citizenship restrictions apply
Eligible Institutions
- Accredited universities and academic institutions
- Non-profit research hospitals
- Independent research institutes
- Recognized scientific research organizations
Ineligible:
- For-profit companies
- Consulting firms
- Non-research organizations
Application Focus Areas
Priority is given to AI-driven and data-intensive research such as:
- Predictive modeling for ovarian cancer outcomes
- Imaging-based diagnostic tools
- Multi-omics and biomarker research
- Treatment response prediction models
- Large-scale biomedical data integration
- Clinical decision-support systems
- AI-based literature synthesis and knowledge extraction
Expected Outcomes
- Improved early detection tools for ovarian cancer
- Better understanding of tumor biology and resistance mechanisms
- More accurate patient stratification systems
- Identification of new biomarkers
- Faster translation of research into clinical insights
- Strengthened global research collaboration networks
Why This Program Matters
- Ovarian cancer is often diagnosed at advanced stages
- AI enables large-scale analysis of complex biomedical data
- International collaboration improves research quality and diversity
- Secure computing environments support sensitive health data analysis
- Integration of AI and clinical research accelerates innovation
Conclusion
The AI Accelerator Grant Program is a global research funding initiative that combines artificial intelligence, oncology research, and international collaboration to improve ovarian cancer outcomes. It supports interdisciplinary teams working on early detection, treatment response, and biomarker discovery to accelerate scientific and clinical breakthroughs.
For more information, visit Ovarian Cancer Research Alliance.
