Topic: immune mechanisms

Amber Smith examines immune mechanisms underlying respiratory infections using mechanistic mathematical models combined with multimodal data. Using influenza, the seminar shows how models can expose biological processes that measurements alone do not reveal, explain why similar biomarker profiles can reflect different disease states, and improve predictions of outcomes. The approach links otherwise inaccessible mechanisms to a foundation for predictive, mechanism-based precision medicine.

Mental disorders contribute significantly to the global burden, and pharmacological therapy is the primary approach for managing major depressive disorder (MDD). However, the current response to treatment is not satisfactory, highlighting the need for effective strategies to predict the effectiveness of antidepressants. This study aimed to analyze a polygenic risk score and utilize a pharmacogenomic enrichment score (PES) to identify potential drugs and propose a viable treatment strategy for MDD patients. MDD data from the Taiwan Biobank were filtered using various p-value thresholds. Gene-se