Personalized Drug Repurposing Prediction Using Single-cell and Spatial Transcriptomics Data
This event is in the past.
Please join us on Thursday, April 9, 2026, at 12:00pm-1:00pm for the Biostatistics & Bioinformatics Core's Webinar. Lana Garmire, PhD, FAIMBE, FACMI, Professor and Vice Chair of Research in the Department of Biomedical Informatics and Data Science at the Heersink School of Medicine, University of Alabama at Birmingham, will be giving a presentation on, "Personalized Drug Repurposing Prediction Using Single-cell and Spatial Transcriptomics Data" This is a virtual only seminar. Registration is required. You may register for free using the link below.
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Abstract: Single-cell and spatial RNA sequencing technologies have enabled in-depth analysis of intercellular heterogeneity in various diseases. However, its full potential for precision medicine has yet to be reached. Towards this, we have developed a series of computational methods to predict purposeful drugs at individual patient level, using single-cell (tool: ASGARD) or spatial transcriptomics data (tool: STDrug). Using a variety of disease datasets spanning cancers to COVID-19, as well as a variety of validation approaches (literature, real-world EHR and cell line experiments), we demonstrate the huge potential of these tools to transform clinical treatment regime. ASGARD is free for research use at https://github.com/lanagarmire/ASGARD.