Multiple new ESiOR innovations are presented during the International Society for Pharmacoeconomics and Outcomes Research (ISPOR US) main congress at Atlanta in the Unites States of America on Tuesday, May 7, 2024:
- Use of real-world data (RWD) based machine learning model to predict Alzheimer’s disease risk – cost-effectiveness evaluation
- Returning genetic information to sample donors with high hereditary breast and ovarian cancer risk – cost-effectiveness evaluation
- Secure processing environments (SPEs) required by the European health data space (EHDS), including SPESiOR – comparison.
Presentations on May 7:
Predictive Cost-Effectiveness Evaluation of Using a Machine Learning-Based Alzheimer’s Disease Risk Prediction Tool for Users of Social and Health Services Aged over 65 in Finland. Time: 10:30 am – 1:30 pm.
Lifetime Cost-Effectiveness of Hereditary Breast and Ovarian Cancer Prevention Based on Finngen and Biobank Data, Data Returning Process, and Prophylaxis. Time: 3:30 pm – 6:30 pm.
European Health Data Space (EHDS) Requires Secure Processing Environments (SPEs) – Comparison of SPESiOR to Other SPE-Type Environments from Finnish, Nordic, European, and Global Settings. Time: 3:30 pm – 6:30 pm.
Let’s meet at the ISPOR or elsewhere!
Additional information, contact, and meetings at the ISPOR US:
Erkki Soini