Kirill Veselkov is an Associate Professor whose research spans artificial intelligence, biomedical data science, precision medicine and precision nutrition. His work focuses on the development of clinically relevant AI and data-driven methods for decision support, patient stratification, and the integration of multi-modal health data, including clinical, lifestyle, molecular and multi-omics data. He has led and contributed to interdisciplinary research and innovation projects that translate advanced analytics into actionable insights for healthcare, prevention and personalised intervention. His work in the AIDA project advances AI for personalised medicine, while through HyperFoods he leads research into how food, metabolism, and biomarkers can be integrated to support more precise and individualised nutrition strategies. Through his research, Dr Veselkov aims to advance more predictive, preventive, and personalised approaches to health and disease.
This talk will present an integrated vision for the precision prevention of gastric cancer, combining AI-driven diagnostics, personalised treatment, and nutrition-based prevention strategies. It will highlight work on artificial intelligence for the assessment of gastric inflammation, including the H. pylori AI Clinician for personalised treatment decision support, as well as data-driven approaches to understand how dietary factors, metabolism, and biomarkers interact across biological networks linked to disease progression. Together, these approaches show how AI can connect diagnosis, therapy, and personalised prevention to help reduce progression towards gastric cancer.
Ricard Martínez Martínez is an Associate Professor in the Department of Constitutional Law, Political Science and Public Administration at the University of Valencia and Director of the Chair of Privacy and Digital Transformation. His work lies at the intersection between law and clinical practice, advising and training healthcare professionals and institutions on privacy, data governance and regulatory compliance in the health sector.
At European level, he participates in key data and AI in health initiatives linked to oncological medical imaging. In particular, he contributes to the development of Cancer Image Europe, the hub of the European Cancer Imaging Initiative, conceived as an interoperable and secure infrastructure for federated and cross border analysis of cancer images using artificial intelligence. In this context, EUCAIM organises its work into dedicated work packages, including ethical and legal aspects, to ensure trust, security and data protection in the access and reuse of imaging and associated clinical data.
He also has a strong track record in pioneering projects aimed at “making data work” to design research solutions and patient oriented services (BigMedilytics, BodyPass, CRANE, ROSIA and WellBased), contributing his expertise to the design of data governance models (roles, access rules, safeguards, risk assessment and compliance). Nationally, he has worked on data governance at IIS La Fe, in the context of federated data spaces that integrate clinical, genomic and biobank information with AI while preserving patient privacy. He has also been proposed as a member of the Ethics and Scientific Integrity Commission of the IMPaCT precision medicine infrastructure (ISCIII), whose Strategic Plan defines a transversal ethics and integrity line to ensure compliance with ethical principles and scientific integrity in the processing of data and biological samples and in the communication of results