CFAR–MISM Mini-Symposium: Bridging HIV Research, Modeling & Artificial Intelligence

Abstract: Since 2004, the Models of Infectious Disease Agent Study (MIDAS) has been an NIGMS-supported community of researchers focused on the development and evaluation of mathematical techniques for modeling outbreaks of infectious diseases. The MIDAS Coordination Center (midasnetwork.us) was established in 2019, when MIDAS transitioned from a small group of researchers funded through specific programs to a community open to anyone working in the field. The Center's mission is "to advance science to improve global preparedness and response against infectious disease threats through research, training, promotion, and service." Throughout the height of the COVID-19 emergency and since, the MIDAS Coordination Center has curated data, supported community efforts such as the COVID-19 Scenario Modeling Hub, coordinated working groups, hosted events including a webinar and annual meetings, and conducted research into the application of data science principles to infectious disease modeling. Updates on these and related efforts will be provided, along with comments on challenges associated with research community coordination. AI in HIV Panel: Naseem Alavian, MD, MPH - Assistant Professor of Medicine; Lance Okeke, MD, MPH - Associate Professor of Medicine; Nrupen Bhavsar, PhD - Associate Professor in Surgery; Moderator: Taylor Krajewski, PhD - Assistant Professor of Biostatistics & Bioinformatics; Michael Hudgens, PhD Title: Counting viruses: Estimating the size of the latent HIV reservoir Abstract: We will discuss statistical methods for quantifying the latent HIV reservoir in anti-retroviral therapy suppressed individuals. In particular, we will focus on the quantitative virus outgrowth assay (QVOA), a type of serial limiting dilution assay which is used to estimate the number of infectious units per million (IUPM) resting CD4+ T cells. A simple, free publicly available R software package and web tool to analyze serial limiting dilution assay data will be described. We will also consider methods for quantifying the size of the reservoir when additional viral RNA sequence data is available. -- Location: Hock Plaza - Room #214 (CRTP Classroom) Zoom: https://duke.zoom.us/j/98485317684 Meeting ID: 984 8531 7684 -- This symposium is organized by the Duke University Center for AIDS Research (CFAR), an NIH‑funded program (5P30 AI064518) and the Center of Multiscale Immune Systems Modeling (MISM), funded by NIAID/NIH (U54AI191253).