AI for Health and Precision Medicine
Artificial Intelligence is transforming healthcare by enabling more personalized, predictive, and precise medical solutions. Within this context, AI for Health and Precision Medicine leverages advanced data analytics to improve disease prevention, diagnosis, and treatment, tailoring care to individual patients and populations.
Research in this area focuses on extracting meaningful insights from complex multimodal data to support patient stratification, risk prediction, and preventive strategies. By modeling patient health trajectories and simulating the effects of interventions or therapies, AI-driven tools can optimize clinical pathways and support evidence-based decision-making. A key challenge is ensuring that these models are not only accurate, but also interpretable and trustworthy, fostering their adoption in real clinical practice.
The future of AI in healthcare will be shaped by the ability to manage, share, and govern high-quality data within trusted and ethical ecosystems. Institutions capable of integrating AI into patient-centric and clinically grounded solutions will lead the transition toward more preventive, participatory, and precise care systems.
The PhD in Data Analytics and Decision Science (DADS) at Politecnico di Milano offers the ideal environment to address these challenges. With its strong multidisciplinary approach, the program combines advanced methodological research with real-world applications, preparing researchers to generate high-impact solutions for healthcare, policy-making, and beyond.
