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Explore how multi-omics profiling can revolutionize personalized healthcare approaches for infectious diseases in this 52-minute webinar presented by Dr. Ujjwal Neogi, a Senior Lecturer in Systems Biology and Docent in Virology at the Karolinska Institute. Discover the potential of personalized health profiling using multi-omics data to reveal immunometabolic disruptions among individuals living with HIV who are effectively undergoing antiretroviral therapy. Learn about Dr. Neogi's groundbreaking research that integrates transcriptomics, metabolomics, and Olink's Proximity Extension Assay proteomics platform to identify immunometabolic impairments in treated HIV patients. Understand how patient stratification analysis revealed that proteomics had the highest impact on clustering, and examine findings showing that 44% of people with HIV were at risk of encountering immunometabolic complications when considering pertinent clinical and lifestyle factors. Gain insights into the complex pathogenesis of emerging and re-emerging RNA viruses, particularly HIV-1, and how these viruses exploit and manipulate host metabolic processes. Delve into the interdisciplinary approach that combines computational biology, engineering, basic, clinical, and translational science to advance our understanding of virus-host cell interactions and immunometabolism in the context of personalized medicine.
