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Join the Indonesian WINNER Event 26-28 October, 2021
This WINNER (Week of Indonesia Netherlands Education and Research) event is a follow-up of the Climate Adaptation Summit (CAS), January 2021, and explores forms of cooperation between and within nations to make climate adaptation work for everyone, with a focus on Indonesia and the Netherlands. We will build on the successful international establishment of the Adaptation Action Agenda with high level keynotes. Then, two forms of Indonesia – Netherlands collaboration in urban and rural areas will be highlighted. Finally, we dive into the prerequisites for successful climate adaptation in a session focused on a priority for both the Netherlands and Indonesia: water resilience.
Population Health Management (MSc)
Today’s health care system faces many challenges. The new interdisciplinary two years master PHM will train you to contribute to a more integrated health care system.
What does this master’s programme entail?
Health care faces ageing populations, rising health care costs, fragmented health care supply and advancing medical technologies and IT systems. Health care professionals will require new competences to meet these challenges in the current health care system. Population Health Management (PHM) is a broadly based response to the challenges and has emerged worldwide as an important strategy for health care
LUMC PhD students join Stanford University to set important steps towards implementing AI in medical care
Artificial Intelligence (AI) is one of those hot topics that we all talk about, but at the same time we have a hard time grasping what AI really is and how it is implemented in our daily lives. And understandably so, AI is a very complex and extensive topic. Needless to say, implementing AI models is difficult, because so many (ethical) variables play a role for a successful, acceptable, and most of all beneficial implementation. It’s one of the most interesting fields to study and that’s exactly what LUMC PhD candidates Marieke van Buchem and Anne de Hond are doing, so that they can contribute to better validation and implementation of AI models in medical care. Their exchange to Stanford University helps them move forward with their research.
