Role of Community-Clinical Partnerships to Promote Cancer Screening: Lessons Learned From the National Breast and Cervical Cancer Early Detection Program.

Community-clinical partnerships are an effective approach to connecting primary care with public health to increase disease prevention and screenings and reduce health inequities. We explore how the National Breast and Cervical Cancer Early Detection Program (NBCCEDP) award recipients and clinic teams are using community-clinical linkages to deliver services to populations who are without access to health care and identify barriers, facilitators, and lessons that can be used to improve program implementation. We used purposive sampling to select nine state recipients of the NBCCEDP and a clinic partner for each recipient.

Behavioral and genetic markers of susceptibility to escalate fentanyl intake.

Background: The "loss of control" over drug consumption, present in opioid use disorder (OUD) and known as escalation of intake, is well-established in preclinical rodent models. However, little is known about how antecedent behavioral characteristics, such as valuation of hedonic reinforcers prior to drug use, may impact the trajectory of fentanyl intake over time. Moreover, it is unclear if distinct escalation phenotypes may be driven by genetic markers predictive of OUD susceptibility.

BioMedGraphica: An All-in-One Platform for Biomedical Prior Knowledge and Omic Signaling Graph Generation.

Artificial intelligence (AI) is revolutionizing scientific discovery because of its super capability, following the neural scaling laws, to integrate and analyze large-scale datasets to mine knowledge. Foundation models, large language models (LLMs) and large vision models (LVMs), are among the most important foundations paving the way for general AI by pre-training on massive domain-specific datasets. Different from the well annotated, formatted and integrated large textual and image datasets for LLMs and LVMs, biomedical knowledge and datasets are fragmented with data scattered across publications and inconsistent databases that often use diverse nomenclature systems in the field of AI for Precision Health and Medicine (AI4PHM).

Differential associations of neighborhood disadvantage, race/ethnicity, and cognitive status with experiences of psychosocial distress in the HABS-HD cohort.

Introduction: Understanding how contextual socioeconomic factors are associated with psychosocial distress among different ethnoracial groups is important for addressing health disparities in individuals at risk for Alzheimer's disease.

Methods: Using Health and Aging Brain Study-Health Disparities (HABS-HD) data collected between 2017 and 2023, we examined the association of neighborhood disadvantage with psychosocial distress using demographically adjusted linear regression models, stratified by ethnoracial group and cognitive status.

Results: We included 630 non-Hispanic Black, 1109 Hispanic, and 1068 non-Hispanic White older adults deemed cognitively normal (CN) or diagnosed with mild cognitive impairment (MCI).

Vascular Disturbances of the Skin in Critically Ill Patients: Lines, Dots, Patches.

When an understanding of pathogenesis exists, skin lesions that have the appearance of blood in the skin can provide insight into the mechanisms leading to a systemic process that results in cutaneous manifestations. Of the vascular disturbances of the skin that occur in critically ill patients, some result from a non-hemorrhagic process while occurs represent bleeding into the skin. The lesions of livedo, petechiae, purpura, and ecchymoses can be approached from such a perspective.