COLLABORATIONS AND PARTNERSHIPS

Collaboration is at the heart of ESAC’s mission. As a multidisciplinary society, we actively seek to build strong, meaningful partnerships with institutions, research groups, and stakeholders who share our vision for advancing artificial intelligence in oncology.

We welcome a variety of collaborative opportunities, including:

• Institutional partnerships with academic centers, hospitals, and research consortia
• Sponsorships to support targeted initiatives, pilot studies, or educational activities
• Exchange of ideas and expertise across research projects and disciplines
• Joint fellowships and mobility programs, fostering knowledge transfer and interdisciplinary learning

If you’re interested in working with us—whether through co-developing projects, supporting AI training in oncology, or shaping future research, do get in touch with us !

ESAC is actively building formal collaborations with academic institutions, hospitals, public research bodies, and scientific societies across Europe and beyond. Our aim is to establish structured partnerships that support the development and validation of AI-driven approaches in oncology, rooted in clinical, scientific, and ethical excellence. Institutional partners are invited to participate in ESAC’s working groups, contribute to joint projects, co-author publications, host training initiatives, and share infrastructure for shared research and data validation.

By aligning on strategic objectives and co-developing initiatives, we ensure that institutional collaborations have tangible, long-term impact. ESAC is particularly interested in partnerships that strengthen regional hubs of excellence and help harmonize AI integration across Europe’s cancer research and care landscape.

We welcome sponsorship and donations from organizations and foundations interested in supporting the advancement of AI in cancer research through targeted, non-commercial initiatives. Project sponsorships may focus on areas such as pilot studies, technical infrastructure, educational events, training resources, or public policy activities.

All sponsored projects align strictly with ESAC’s scientific integrity and are free from promotional or preferential influence. Sponsors may support through financial contributions, in-kind services, or resource sharing, and will be acknowledged accordingly. We work closely with sponsors to define clear objectives, ethical boundaries, and measurable outcomes. If your organization is looking to make a concrete, non-commercial contribution to the future of cancer AI, ESAC provides a credible, mission-aligned platform to do so.

One of ESAC’s founding principles is the belief that true innovation arises from the exchange of perspectives across disciplines. We offer a structured yet open space where research teams can connect, share methods, explore joint use of datasets or algorithms, and build on each other’s findings.

Through ESAC, researchers can identify synergies, form consortia, co-develop proposals for competitive funding, and align their work within broader European or global frameworks. Whether your team is developing AI models, validating clinical applications, or working on infrastructure or standards, ESAC can help link your expertise to others working toward complementary goals.

To cultivate the next generation of interdisciplinary professionals, ESAC is developing a program of fellowships and exchange opportunities between institutions, disciplines, and sectors. These initiatives will support early-career scientists, clinicians, and technical experts in gaining practical experience in complementary environments—for example, data scientists working in oncology clinics, or clinicians embedded in AI labs.

The aim is to promote mutual learning, transfer of knowledge, and cross-training between medical and computational domains. Fellows and exchange participants will be supported with structured mentorship, defined learning goals, and opportunities to contribute meaningfully to ESAC activities. In the long term, this program will help build a highly skilled workforce capable of leading responsible AI integration in cancer care and research.