On September 16th, HM Hospitales hosted the 4th International Course on Hyper-Early Cancer Diagnosis in Oncology for physicians, coordinated by Dr. Antonio Cubillo and Dra. Paloma Peinado. The course convened more than 200 participants in person and online, with expert panels featuring laboratory professionals, researchers, and industry stakeholders alongside clinicians. OncoInv participated in the "Personalizing multi-cancer early detection testing" panel.
The panel examined how multi-cancer detection tests can be positioned within existing diagnostic workflows, with discussion on how personalization approaches adapt tests to different patient populations and clinical contexts. The questions addressed the clinical information necessary before test selection and how results should be interpreted within the broader context of a patient's diagnostic and clinical history.
Discussions focused on requirements for implementation in clinical practice: structured clinical pathways, patient communication, data governance, and clinical support systems. Collaboration between medical institutions and solution developers was noted as relevant for refining technologies while maintaining technical validation standards.
Beyond the panel, the course addressed the expanding role of AI algorithms across the diagnostic pathway, from population identification to result interpretation. As these technologies advance faster than traditional regulatory frameworks, implementation timelines and regulatory approval processes present considerations for engagement between clinicians, developers, and regulatory authorities.
Forums like this course create opportunities for sustained dialogue among stakeholders on multi-cancer detection implementation, ensuring patient-centered considerations are central to the discussion.
