Beyond the Bench:
AI, Ethics, and Evidence
in BioMedicine
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.
In the bookstore
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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.
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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.