Healthcare Innovations Fuelled by AI
1. The Future of AI in health
2. CovidGraph: A Knowledge Graph on COVID19
3. AI in medicine
Director BlueHealth Innovation Center
Tom holds a master’s in Trade Sciences as well as Industrial Corporate Management. He has worked for 17 years in companies like EDS, Navision, and Microsoft, and switched careers in 2015 to run the Microsoft Innovation Center in Flanders, focusing on Healthcare innovation. Under his leadership, it transformed into the BlueHealth Innovation Center, a not-for-profit public-private partnership aiming to support the healthcare ecosystem with its digital transformation. Tom coaches startups. Additionally, together with his team, he activates students to consider an entrepreneurial career and helps healthcare players take the digital leap forward.
Martin’s background is in computational biology with a focus on medical research, biotech, and pharma. Beyond that, he is interested in learning about new topics, domains, and industries. Martin co-initiated CovidGraph – a non-profit collaboration of researchers, data scientists, and medical professionals – to build a knowledge graph on Covid19. Besides, with his company Kaiser & Preusse, he builds knowledge graph applications and implements health data standards.
Doctor of Medicine, Psychiatry Department, Brussels Teaching Hospital
Giovanni, M.D., is a physician at the Department of Psychiatry of Brussels Teaching Hospital (CHU Bruxelles), and a Lecturer of Physiology at ES Santé School of Health. Furthermore, he works as a researcher in the Department of Clinical Epidemiology and Biostatistics and lectures in Medical Technologies (AI & Health) at the Université Libre de Bruxelles. Since September 2020, Giovanni leads the AI4Health working group at AI4Belgium, the Belgian government’s Artificial Intelligence initiative.
Healthcare Innovations Fuelled By AI
The advance of technology has a revolutionizing effect on every industry, including healthcare. The role of AI has the potential to improve humanity’s health and wellbeing. For example, AI-based decision support improves healthcare professionals’ work and enables doctors to support patients in a personalized way. From a biomedical perspective, AI can help with, e.g., disease prediction and drug discovery.