Novel Machine Learning Applications in Peripartum Care: A Scoping Review.

Objective: Machine learning (ML), a subtype of artificial intelligence (AI), presents predictive modeling and dynamic diagnostic tools to facilitate early interventions and improve decision-making. Considering the global challenges of maternal, fetal, and neonatal morbidity and mortality, ML holds the potential to enable significant improvements in maternal and neonatal health outcomes. We aimed to conduct a comprehensive review of ML applications in peripartum care, summarizing the potential of these tools to enhance clinical decision-making and identifying emerging trends and research gaps.

Exploring the correlation between chemical bonding and structural distortions in TbCuTe.

The design of solid-state materials requests a thorough understanding of the structural preferences among plausible structure models. Since the bond energy contributes to the formation energy of a given structure model, it also is decisive to determine the nature of chemical bonding for a given material. In this context, we were motivated to explore the correlation between chemical bonding and structural distortions within the low-dimensional tellurium fragments in TbCuTe.

Primary Effusion Lymphoma Prognostic Score (PEL-PS): A Validated International Prognostic Score in HIV-Associated Primary Effusion Lymphoma.

Primary effusion lymphoma (PEL) is an HIV-associated B-cell non-Hodgkin lymphoma (NHL) caused by Kaposi sarcoma herpesvirus (KSHV). There is no validated prognostic model in PEL, and prognosis is thought to be poor compared to other HIV-associated NHL. We derived the PEL-Prognostic score (PEL-PS) from an international real-world training set of 59 patients with HIV-associated PEL who received first-line anthracycline-containing chemotherapy from the HIV and AIDS Malignancy Branch at the National Cancer Institute (NCI) in the United States and the National Center for HIV Malignancy at the Chelsea and Westminster Hospital (CWH) in England from 2000 to 2022.

Evaluating the use of sublingual sufentanil in patients with buprenorphine treatment who are undergoing ambulatory surgery: A Prospective Case Report.

Introduction: Opioid use disorder is a chronic illness with significant morbidity and mortality. Opioid agonists, like buprenorphine, are commonly used to prevent relapse. Recent changes in buprenorphine legislation are expected to increase prescription and guidelines recommend its continuation during the perioperative period for many patients.