Racism and Postpartum Blood Pressure in a Multiethnic Prospective Cohort.

Background: Postpartum hypertension is a key factor in racial-ethnic inequities in maternal mortality. Emerging evidence suggests that experiences of racism, both structural and interpersonal, may contribute to disparities. We examined associations between gendered racial microaggressions (GRMs) during obstetric care with postpartum blood pressure (BP).

CAR-T Cell Therapy: Pioneering Immunotherapy Paradigms in Cancer Treatment.

The world's one of the major causes of death are cancer. Cancer is still a complex disease over the years that needs to be cured. Traditional cytotoxic approaches, although they have been implemented for years for treating neoplastic diseases, yet are limited due to the intricacy and low efficiency of cancer cells.

Tumor-derived CCL2 drives tumor growth and immunosuppression in IDH1- mutant cholangiocarcinoma.

Background And Aims: Isocitrate dehydrogenase 1 ( IDH1 )-mutant cholangiocarcinoma (CCA) is a highly lethal subtype of hepatobiliary cancer that is often resistant to immune checkpoint inhibitor therapies. We evaluated the effects of IDH1 mutations in CCA cells on the tumor immune microenvironment and identified opportunities for therapeutic intervention.

Approach And Results: Analysis of 2606 human CCA tumors using deconvolution of RNA-sequencing data identified decreased CD8+ T cell and increased M2-like tumor-associated macrophage (TAM) infiltration in IDH1 -mutant compared to IDH1 wild-type tumors.

Pancreatic cancer is feeling the heat.

Pancreatic adenocarcinoma (PDAC) is considered an immunologically 'cold' tumor that fails to attract or support effector T cells. Most PDACs are resistant to immune checkpoint blockade due to the complex signaling pathways that exist within its tumor microenvironment. Recent advances in genomic and proteomic technology advances are finally uncovering the complex inflammatory cellular and intercellular signals that require modulation and reprogramming.

Studies of Artificial Intelligence/Machine Learning Registered on ClinicalTrials.gov: Cross-Sectional Study With Temporal Trends, 2010-2023.

Background: The rapid growth of research in artificial intelligence (AI) and machine learning (ML) continues. However, it is unclear whether this growth reflects an increase in desirable study attributes or merely perpetuates the same issues previously raised in the literature.

Objective: This study aims to evaluate temporal trends in AI/ML studies over time and identify variations that are not apparent from aggregated totals at a single point in time.