Federica Zanca: Steering Medical Imaging and Medical AI Portfolios at the EIC

Brussels, March 13th 2024
Summary
  • Federica Zanca is the EIC Programme Manager for Medical Imaging and AI in Healthcare, bringing over 23 years of experience in medical physics, academia and industry.
  • Her career path runs from a master thesis on monochromatic breast imaging through a KU Leuven professorship to senior industry roles including chief scientist at GE Healthcare and founder of a healthcare consultancy.
  • In the EIC role she manages portfolios of funded projects, shapes Pathfinder Challenge calls and brokers routes to market for AI and MedTech innovations.
  • Zanca expects AI systems to become more data efficient, to leverage unlabelled data and to integrate imaging with electronic health records and multi-omic data, but practical, clinical and regulatory challenges remain substantial.
  • Programme Managers at the EIC act as strategic brokers across research, regulation and investment to accelerate high risk, deep tech projects to market.

Federica Zanca and the EIC: a profile of a Programme Manager for Medical Imaging and AI in Healthcare

The European Innovation Council sets out to move disruptive science and deep technology into commercial and clinical use. Central to that mission are EIC Programme Managers. They curate portfolios, identify technology bottlenecks, convene stakeholders and try to steer projects from laboratory proof of concept to demonstrators and market uptake. Federica Zanca is the EIC Programme Manager responsible for MedTech, medical imaging and AI in healthcare. Her profile blends long academic experience with senior industry roles and consultancy work. Her public statements sketch both an optimistic technical trajectory for medical AI and an awareness that the EIC must actively manage risk and uptake.

A professional trajectory from laboratory physics to strategic portfolio management

Zanca’s entry into medical imaging started during her master studies at the University of Ferrara where her thesis tackled a monochromatic source for breast imaging. That early technical project motivated her to pursue a Ph.D. at KU Leuven in Belgium. She later became a professor and conducted research across mammography, computed tomography, interventional and general radiology, imaging perception and AI applications in healthcare.

After more than a decade in academia she moved into industry, taking senior research leadership roles. She served as chief scientist and director at GE Healthcare and was Head of R and D at a Swiss private diagnostic network. In 2018 she founded Palindromo Consulting which provided services to industry and hospitals. She has chaired the European Federation of Medical Physics working group on AI and authored papers on regulatory aspects of AI in healthcare.

Monochromatic X ray source:A monochromatic X ray beam narrows the spectrum of photon energies used for imaging. In theory this can increase contrast and reduce artefacts compared with polychromatic sources. Implementing monochromatic imaging in clinical practice encounters trade offs such as source design complexity, dose management and compatibility with existing detectors.

What the role of an EIC Programme Manager entails

Zanca describes the programme manager role as an opportunity to influence patient outcomes and the trajectory of healthcare innovation. Programme Managers at the EIC combine technical stewardship with active portfolio management and stakeholder engagement. Their work has two main strands. First, they develop a strategic vision for a technology vertical and identify research and market challenges. Second, they manage portfolios of EIC funded projects to build the critical mass needed to overcome common gaps.

Practically this involves designing and promoting targeted Pathfinder Challenge calls, working with external evaluators to create cohesive portfolios, convening portfolio roadmaps and shared activities such as data sharing or market analysis, and facilitating routes to market through business advisory services, investor introductions and booster grants. Programme Managers also act as technical advisers in selection juries for Transition and Accelerator calls and as visible intermediaries in workshops, infosessions and international conferences.

Pathfinder versus Transition versus Accelerator:Pathfinder supports high risk exploratory research to validate breakthrough concepts. Transition aims to mature Pathfinder results towards innovation readiness. Accelerator targets later stage companies to scale and commercialise innovations. Programme Managers interact with all these stages to shepherd technologies across the valley of death.

Zanca’s vision for medical AI and where the challenges are

Zanca expects major advances in medical AI. She highlights what she calls more robust and efficient algorithms that need less labelled data for training. She foresees systems able to exploit unlabelled data and to fuse multiple sources of information. The long term picture she sketches is AI augmented precision medicine and connected care that replace one size fits all approaches with personalised diagnostics and therapies, improved clinical workflows and potentially more cost effective healthcare delivery.

Foundation algorithms in healthcare:Foundation algorithms refer to large pre trained models that can be adapted to many downstream tasks. In healthcare the promise is to use broadly pretrained architectures to reduce the need for large labelled datasets for each niche clinical task. Translating this promise into regulated medical devices requires careful validation, domain adaptation and robustness checks.
Unlabelled data methods:Leveraging unlabelled data involves techniques such as self supervised learning and semi supervised learning. These approaches let models learn structure from raw data and then be fine tuned with fewer labelled examples. They can lower annotation costs but still need domain specific evaluation to guard against learning spurious correlations.
Multi-omic data and data fusion:Multi-omic data combines genomic, transcriptomic, proteomic and metabolomic information. Integrating these layers with imaging and clinical records can enable richer biomarkers. Fusion of heterogeneous data types is technically challenging and depends on interoperability, harmonised metadata and careful clinical study design.

While Zanca paints a plausible technical path, important obstacles remain. Clinical validation and prospective trials are costly and time consuming. Data access is limited by privacy rules and fragmented health IT systems in Europe. Bias and generalisability are recurring problems for AI trained on single centre cohorts. Regulatory alignment between the Medical Device Regulation, the future AI Act and agencies such as EMA is still evolving. Reimbursement pathways and clinical adoption depend on clear demonstration of patient benefit and workflow integration. These are not technical issues alone but require coordinated policy, procurement and clinical engagement.

How the EIC and Programme Managers can influence uptake

The EIC uses Programme Managers as active brokers who do more than grant making. They curate portfolios to create shared roadmaps for data, validation and market entry. They run Info Days and stakeholder workshops to attract applicants to targeted challenges. They can connect projects with Business Acceleration Services, investors and testing infrastructures. Zanca’s public activity shows an emphasis on building ties with regulatory bodies, clinical networks and investor communities.

Testing and validation infrastructure:Access to testbeds, real world clinical data and clinical validation sites is essential. The EIC can help broker access to European testing facilities, research infrastructures and hospital networks to accelerate robust validation of medical AI.

Selected professional roles and outreach activity

Zanca combines the programme manager role with active public engagement. Her biography lists academic and industry leadership positions and a dense schedule of talks, workshops and convenings across Europe and internationally. She positions the EIC as a partner for startups, SMEs and clinical innovators navigating regulatory and market pathways.

DateEventRole or contribution
4 February 2025Towards Sustainable and Healthy Living with the Use of AI and Other Digital Solution, BrusselsSpeaker on unlocking innovation with the EIC
6 February 2025European Cancer Imaging InitiativeParticipation: joining forces for AI powered imaging
27-29 February 2025European Congress of Radiology ECR 2025, ViennaSpeaker on quality control and European collaboration in AI
25-26 March 2025Healthcare business international - HBI 2025, ParisPanel and investor workshop contributions
10-11 April 2025Advanced Innovative Materials for Health workshop, BragaPresented EIC role and moderated regulation session
11 June 2025EIC Corporate Day with Clariane, ParisKeynote lecture
8-10 December 2025HealthTech Investor Summit 2025, UtrechtRepresenting the EIC and networking

Regulatory and ecosystem context in Europe

Zanca has framed regulatory work as part of her remit. Medical AI intersects with the Medical Device Regulation and the incoming AI Act. EU policy makers and agencies such as EMA, national competent authorities and clinical regulators are actively shaping rules for clinical evaluation, post market surveillance and transparency. Programme Managers can help innovators understand these requirements and facilitate dialogues between regulators, clinicians and industry.

Post market surveillance and quality assurance:AI medical software needs continuous monitoring after deployment. Responsible surveillance tracks performance drift, rare adverse events and real world effectiveness. Organising post market frameworks is both a regulatory and technical challenge that requires standards, metrics and data collection pathways.

Practical caveats and where to watch closely

The broad technical claims about data efficient foundation models and seamless multimodal integration are credible research goals. However they are not turnkey solutions. The science is progressing quickly but translation to safe, effective and equitable clinical tools depends on careful validation, appropriate governance, procurement incentives and clinical training. The EIC can reduce friction but it cannot substitute for the long horizon and investment needed for clinical evidence generation.

Programme Managers are well placed to spot promising technology gaps and to coordinate cross cutting actions such as clinical testbeds and regulatory science work. Their influence depends on the EIC's ability to fund translational milestones, to convene public and private partners and to tolerate the high failure rates that deep tech innovation brings.

Takeaways

Federica Zanca brings domain expertise spanning physics, clinical research and industry to the EIC. Her public statements map a future in which more efficient AI models and multimodal data fusion enable precision diagnostics and therapy. Realising that future within the European healthcare context will require more than better models. It will require reliable access to clinical data, robust validation pathways, aligned regulation and active convening between researchers, hospitals, investors and regulators. Programme Managers such as Zanca are a practical instrument for that convening, but success depends on patient level evidence and durable ecosystem commitments.

Disclaimer: This representation draws on public EIC materials and a March 13 2024 profile. It is provided for information and analysis and should not be taken as the official view of the European Commission or any other organisation.