Beyond the Bench:

AI, Ethics, and Evidence

in BioMedicine

Presentazione con una donna che parla davanti a uno schermo con disegni di tre draghi, uno con la lingua fuori.

Where Clinical Questions Meet Data Possibilities

My work lives at the intersection of clinical insight, ethical inquiry, and digital innovation. Trained as a biologist and data scientist with a deep foundation in translational research, I specialize in building bridges—between healthcare systems and patients, between raw data and real-world evidence.

Whether designing interoperable data models architectures or leading predictive analytics projects in pediatrics, I focus on systems that respect complexity and elevate care.

Cover of a medical book titled 'Guida facile all'intelligenza artificiale in medicina' with a diagram of a human head showing brain and neural pathways.

In the bookstore

  • This accessible guide unpacks the emerging role of artificial intelligence in medicine, offering clinicians, researchers, and curious readers a grounded entry point into the rapidly evolving landscape of large language models (LLMs), digital twins, and intelligent agents. With a focus on practical implications, ethical considerations, and real-world examples, the guide demystifies complex technologies and explores how they are reshaping diagnosis, personalization, and decision-making in healthcare. A tool for those who wish to stay informed, empowered, and proactive in navigating this AI-driven transformation.

  • Diana Ferro, PhD is a clinician-researcher and biomedical data scientist at the Predictive & Preventive Medicine Research Unit at Bambino Gesù Children’s Hospital in Rome. With a background in molecular biology and artificial intelligence in medicine, her work focuses on federated analytics, ethical AI, and real-world evidence generation. She is also a board member of the Italian Society of AI in Medicine (SIAM) and an affiliate educator with T-CAIREM, contributing to interdisciplinary teaching in health data science.

    Alberto Eugenio Tozzi, MD, eads the Predictive & Preventive Medicine Research Unit at Bambino Gesù Children’s Hospital. A pediatrician and digital health strategist, he integrates epidemiology, AI, and digital innovation to improve child health outcomes. His work emphasizes scalable, patient-centered applications of data science in clinical and public health settings, and he is recognized for his contributions to national and international eHealth initiatives.