Why and how medicine needs to interplay with data science

Alberto E Tozzi

Caterina Rizzo

Eleonora Grassucci

Sally Jackson & Kiersten Miller

Bambino Gesù Children’s Hospital, Rome, Italy

Medicine is one of the most conservative sciences. The evolution of concepts following experimental evidence is particularly challenging in this field since any potential failure may affect the health of individuals. Nevertheless it is evident that data science may advance diagnostics, therapy and prevention with a significant impact on the health of populations. In this series of lectures we will start from general concepts describing the existing experience of AI applied to medicine and public health, and will explore the challenges ahead coming from the unmet needs. Ongoing projects in the Bambino Gesù Hospital relevant to AI will be presented, including those conducted in the clinic and those relevant to prevention and public health, and a special focus will be made on digital therapeutics.