Comparing new tools of artificial intelligence to the authentic intelligence of our global health students.

Introduction: The transformative feature of Artificial Intelligence (AI) is the massive capacity for interpreting and transforming unstructured data into a coherent and meaningful context. In general, the potential that AI will alter traditional approaches to student research and its evaluation appears to be significant. With regard to research in global health, it is important for students and research experts to assess strengths and limitations of GenAI within this space.

Perspectives on HIV pre-exposure prophylaxis (PrEP) implementation in Mississippi among Black women and clinical staff: Recommendations for clinical trauma-informed programs.

Intimate partner violence (IPV) can constraint Black women's ability to prioritize and access Human Immunodeficiency Virus (HIV) pre-exposure prophylaxis (PrEP) services. Recent research has called for the development of trauma-informed PrEP implementation programs to improve the delivery of PrEP to Black cisgender women; however, many PrEP-prescribing settings do not reflect this recommendation. The current study sought to identify key components to develop a trauma-informed PrEP implementation program for Black cisgender women and clinical staff.

Community Interventions for Childhood Asthma ED Visits and Hospitalizations: A Systematic Review.

Unlabelled: A systematic review of interventions in community environments found significant reductions in childhood asthma exacerbations leading to emergency department visits and hospitalizations.

Background And Objectives: Structural and social determinants of childhood asthma inequities manifest within geographic communities that are often segregated. Childhood asthma disproportionately affects Black, Hispanic, and low-income populations.

High-performance single-cell gene regulatory network inference at scale: the Inferelator 3.0.

Motivation: Gene regulatory networks define regulatory relationships between transcription factors and target genes within a biological system, and reconstructing them is essential for understanding cellular growth and function. Methods for inferring and reconstructing networks from genomics data have evolved rapidly over the last decade in response to advances in sequencing technology and machine learning. The scale of data collection has increased dramatically; the largest genome-wide gene expression datasets have grown from thousands of measurements to millions of single cells, and new technologies are on the horizon to increase to tens of millions of cells and above.

Chimeric Fatty Acyl-Acyl Carrier Protein Thioesterases Provide Mechanistic Insight into Enzyme Specificity and Expression.

Medium-chain fatty acids are commodity chemicals. Increasing and modifying the activity of thioesterases (TEs) on medium-chain fatty acyl-acyl carrier protein (acyl-ACP) esters may enable a high-yield microbial production of these molecules. The plant harbors two distinct TEs: FatB1 (FatB1) (C specificity, lower activity) and FatB2 (C specificity, higher activity) with 78% sequence identity.

Study of Glycated Haemoglobin (HbA1c) In Non-Diabetic Subjects with Subclinical Hypothyroidism.

Introduction: India has the higher prevalence of prediabetes, diabetes and hypothyroidism. Subclinical Hypothyroidism (SH) is more prevalent in the females than in the males. Studies have shown the elevated HbA1c in the non-diabetic hypothyroid patients.

Levels of Apolipoprotein A1, B100 and Lipoprotein (a) in Controlled and Uncontrolled Diabetic Patients and in Non-Diabetic Healthy People.

Introduction: Diabetes Mellitus (DM) is always a multifactorial metabolic disorder having a wide range of abnormalities in carbohydrate, lipid and protein metabolism. Dyslipidemia is a natural process of DM causing abnormal variations of different lipoproteins and it is one of the significant risk factors for Cardiovascular Disorder (CVD). There is a need to closely evaluate newer approaches in case of DM because even if dyslipidemia is treated, there is always a risk of CVDs in DM patients because of the hyperglycemia itself.