On 25 August, as part of the HAI-SO project workshop, Prof. Mauricio Santillana, Professor at Northeastern University and Adjunct Professor of Epidemiology at Harvard T.H. Chan School of Public Health, delivered a presentation entitled “Machine Learning & Computational Epidemiology For Public Health.”
The presentation explored how machine learning and computational epidemiology can be applied to public health. With the growing volume and diversity of health-related data, advanced data-driven approaches offer new opportunities for monitoring and forecasting disease dynamics, while supporting evidence-based public health decision-making.
The workshop provided an excellent opportunity for researchers and experts involved in the HAI-SO project to exchange knowledge and strengthen international collaboration. The involvement of experts from Harvard also supports the project’s commitment to building strong international scientific partnerships in the fields of healthcare artificial intelligence and data-driven system optimization.
The HAI-SO (System Optimization Driven by Healthcare Artificial Intelligence) project aims to harness artificial intelligence and large-scale health data analytics to contribute to the more effective functioning and system-level optimization of healthcare.