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Current HIV cure trials primarily focus on people living with HIV (PLWH) who started antiretroviral therapy (ART) during the primary infection stage, as they are known to have smaller HIV reservoirs. However, there is a substantial knowledge gap regarding the size of the HIV reservoir in majority of PLWH. Our study aims to address this gap by exploring the size of the HIV reservoir through comprehensive clinical, immunological, and virological assessments, and by developing an algorithm to predict HIV reservoir size.To achieve this, the CHART-C study will include 200 PLWH on long-term successful ART, with a substudy examining the HIV reservoir in the central nervous system of 20 participants. We will use advanced assays such as IPDA, CADseq method, and quantification of HIV-specific humoral/cellular responses. Machine learning techniques will be employed to develop an algorithm to identify individuals with the smallest HIV reservoirs.The outcome of this study will be a clinical algorithm designed to select individuals with the smallest HIV reservoirs, thereby optimizing the inclusion criteria for future HIV cure trials and enhancing the potential for therapeutic success. Additionally, we will prepare for an analytical treatment interruption  HIV cure trial using two long-acting broadly neutralizing antibodies. The CHART-C trial aims to make a significant contribution to global HIV cure strategies and position Swedish HIV research at the forefront of this critical field.