Innovating Health Against Future Pandemics

<p>Section 1: Epidemiology, data and technology <br>1. Understanding the disease and its epidemiology through data and technology<br><br>Section 2: Treatment / Pharmaceutical R&D <br>2. The use of computational biology in protein engineering and drug discovery<br>3. Innovative clinical trial design and operation - Implementing hybrid<br>and fully decentralized trials in a post-COVID world<br><br>Section 3: Triage, diagnosis, risk prediction<br>4. A perspective on Artificial Intelligence for digital pharmacovigilance in<br>pandemics<br>5. Consequences of the isolation in vulnerable populations: Brain and mental<br>health in the older population<br>6. Design for isolation, confinement, and mental health during intensive care<br>7. Triage, diagnosis and risk prediction: The benefits and challenges of<br>digital health and AI technologies<br><br>Section 4: Management and policies <br>8. How digital solutions can ensure continued high-quality care for<br>patients during pandemics<br>9. Beyond one-size-fits-all: Precision medicine and novel technologies for<br>sex- and gender-inclusive COVID-19 pandemic management<br>10. Innovating healthcare in the mid of a pandemic</p>