Allostatic Load as a Short-Term Prognostic and Predictive Marker.

It would be highly valuable to possess a tool for evaluating disease progression and identifying patients at risk of experiencing a more severe clinical course and potentially worse outcomes. The concept of allostatic load, which represents the overall strain on the body from repeated stress responses, has been recognized as a precursor to the development of chronic illnesses. It functions as a cumulative measure of the body's capacity to adapt to stress.

Enhanced D614G and Omicron Variants Antibody Persistence in Infants at 2 Months of Age Following Maternal mRNA Booster Vaccination During Pregnancy or Postpartum.

Background: Following maternal COVID-19 vaccination, the persistence of antibodies in sera and breast milk for mothers and infants is not well characterized. We sought to describe the persistence of antibodies through 2 months after delivery in maternal and infant serum and breast milk following maternal COVID-19 mRNA vaccination and to examine differences by receipt of booster dose during pregnancy or postpartum.

Methods: This is a prospective cohort study with enrollment from July 2021 to January 2022 at 9 US academic sites.

Local and systemic biodistribution of a small-molecule radiopharmaceutical probe after transcatheter embolization and intra-arterial delivery in a porcine orthotopic renal tumor model.

Background: Small-molecule biomacromolecules target tumor-specific antigens. They are employed as theranostic agents for imaging and treatment. Intravenous small-molecule radioligands exhibit rapid tumor uptake and excretion.

Distinguishing Multisystem Inflammatory Syndrome in Children from Typhus Using Artificial Intelligence: MIS-C vs. Endemic Typhus (AI-MET).

Background: The pandemic emergent disease multisystem inflammatory syndrome in children (MIS-C) following coronavirus disease-19 infection can mimic endemic typhus. We aimed to use artificial intelligence (AI) to develop a clinical decision support system that accurately distinguishes MIS-C versus Endemic Typhus (MET).

Methods: Demographic, clinical, and laboratory features rapidly available following presentation were extracted for 133 patients with MIS-C and 87 patients hospitalized due to typhus.