The National Institutes of Health (NIH) recognizes that, despite HIV scientific advances, stigma and discrimination continue to be critical barriers to the uptake of evidence-based HIV interventions. Achieving the Ending the HIV Epidemic: A Plan for America (EHE) goals will require eliminating HIV-related stigma. NIH has a significant history of supporting HIV stigma research across its Institutes, Centers, and Offices (ICOs) as a research priority. This article provides an overview of NIH HIV stigma research efforts. Each ICO articulates how their mission shapes their interest in HIV stigma research and provides a summary of ICO-relevant scientific findings. Research gaps and/or future opportunities are identified throughout, with key research themes and approaches noted. Taken together, the collective actions on the part of the NIH, in tandem with a whole of government and whole of society approach, will contribute to achieving EHE’s milestones.

Using in-depth interviews with mothers incarcerated in a maximum-security prison, the current study explores incarcerated mothers’ own perceptions and expectations regarding reunification with their families. For many of these mothers, reunification was an exciting prospect, but they recognized that the transition may not be easy for themselves, their children, or their children’s caregivers. Notably, while past research has treated reunification as including assuming care of children, our study suggests that some women view reunification strictly as rebuilding relationships with their children without plans to assume caring for them. We discuss implications for policy and programming for institutional and community corrections.

Employing a racialized gendered lens, we explore the perceptions of status threat and victimhood among a sample of White Americans following the 2016 presidential election. Specifically, we draw upon such theoretical and empirical work to frame our analyses of the associations between perceptions of a white “victim” ideology and anti-Black Lives Matter (BLM) sentiments and how such associations may be conditioned by support for Trump and holding patriarchal gender normative beliefs. We propose that the BLM movement may be perceived as a “threat” to many White Americans. Furthermore, we believe Whites’ anti-BLM sentiments will be enhanced by support for Trump, given his racist, misogynistic, xenophobic, and oppressive tendencies. Moreover, we believe that these associations will differ based on gender and beliefs in patriarchal gender norms, as White men and women are likely to feel status threat in varied ways. Mix support for our propositions and complex gendered differences are revealed. Implications are discussed.

Aims Age-related macular degeneration (AMD) is characterised by a progressive loss of central vision. Intermediate AMD is a risk factor for progression to advanced stages categorised as geographic atrophy (GA) and neovascular AMD. However, rates of progression to advanced stages vary between individuals. Recent advances in imaging and computing technologies have enabled deep phenotyping of intermediate AMD. The aim of this project is to utilise machine learning (ML) and advanced statistical modelling as an innovative approach to discover novel features and accurately quantify markers of pathological retinal ageing that can individualise progression to advanced AMD. Methods The PINNACLE study consists of both retrospective and prospective parts. In the retrospective part, more than 400,000 optical coherent tomography (OCT) images collected from four University Teaching Hospitals and the UK Biobank Population Study are being pooled, centrally stored and pre-processed. With this large dataset featuring eyes with AMD at various stages and healthy controls, we aim to identify imaging biomarkers for disease progression for intermediate AMD via supervised and unsupervised ML. The prospective study part will firstly characterise the progression of intermediate AMD in patients followed between one and three years; secondly, it will validate the utility of biomarkers identified in the retrospective cohort as predictors of progression towards late AMD. Patients aged 55–90 years old with intermediate AMD in at least one eye will be recruited across multiple sites in UK, Austria and Switzerland for visual function tests, multimodal retinal imaging and genotyping. Imaging will be repeated every four months to identify early focal signs of deterioration on spectral-domain optical coherence tomography (OCT) by human graders. A focal event triggers more frequent follow-up with visual function and imaging tests. The primary outcome is the sensitivity and specificity of the OCT imaging biomarkers. Secondary outcomes include sensitivity and specificity of novel multimodal imaging characteristics at predicting disease progression, ROC curves, time from development of imaging change to development of these endpoints, structure-function correlations, structure-genotype correlation and predictive risk models. Conclusions This is one of the first studies in intermediate AMD to combine both ML, retrospective and prospective AMD patient data with the goal of identifying biomarkers of progression and to report the natural history of progression of intermediate AMD with multimodal retinal imaging.