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100th European General Practice Research Network (EGPRN) Meeting
Partners from the HERVCOV Consortium will take part in the 100th European General Practice Research Network (EGPRN) Meeting, focusing on how telehealth and artificial intelligence can improve access, quality and safety in primary care, through scientific evidence, digital innovations, and collaborative discussions among clinicians, researchers and policymakers. The intervention focuses on how data-driven patient clustering can support primary care in addressing the heterogeneous nature of Post-COVID-19 Condition (PCC). By applying hierarchical and machine-learning clustering methods to clinical, biochemical and immunological data from Long-COVID patients, the study identified distinct PCC subgroups with different symptom patterns, severity levels and functional impairments.
Scientific contributions by Consortium researchers:
- “Optimizing primary care for post-COVID-19 patients: leveraging clustering techniques for personalized diagnosis and treatment“, David Lerma et al.;
- “AI and Machine Learning-driven characterization models for post-COVID-19 condition: Enhancing personalized care in primary care settings“, David Lerma et al.