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Imaging-based spatial transcriptomics (iST), such as MERFISH, CosMx SMI, and Xenium, quantify gene expression level across cells in space, but more importantly, they directly reveal the subcellular distribution of RNA transcripts at the single-molecule resolution. The subcellular localization of RNA molecules plays a crucial role in the compartmentalization-dependent regulation of genes within individual cells. Understanding the intracellular spatial distribution of RNA for a particular cell type thus not only improves the characterization of cell identity but also is of paramount importance in elucidating unique subcellular regulatory mechanisms specific to the cell type.

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A model of care redesign within rheumatology: A mixed methods approach integrating nurse practitioners and physician assistants.

J Am Assoc Nurse Pract

January 2025

Division of Cardiology, Department of Medicine, Duke Health Integrated Practice, Duke University Health System, Durham, North Carolina.

Background: Increasing patient demand and clinician burnout in rheumatology practices have highlighted the need for more efficient models of care (MOC). Interprofessional collaboration is essential for improving patient outcomes and clinician satisfaction.

Local Problem: Our current MOC lacks standardization and formal integration of Nurse Practitioners (NPs) and Physician Assistants (PAs), resulting in reduced clinician satisfaction and limited patient access.

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Revised Process for ACNS Guidelines Development.

J Clin Neurophysiol

February 2025

Division of Child Neurology, Department of Neurology, Stanford University, Palo Alto, California, U.S.A.

The development of clinical practice guidelines is an evolving field. In response to the need for consistent, evidence-based medical practice, the American Clinical Neurophysiology Society identified the need to update the Society's guideline development process. The American Clinical Neurophysiology Society Guidelines Committee created an action plan with the goal of improving transparency and rigor for future guidelines and bringing existing guidelines to current standards.

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Retrosynthesis is a strategy to analyze the synthetic routes for target molecules in medicinal chemistry. However, traditional retrosynthesis predictions performed by chemists and rule-based expert systems struggle to adapt to the vast chemical space of real-world scenarios. Artificial intelligence (AI) has revolutionized retrosynthesis prediction in recent decades, significantly increasing the accuracy and diversity of predictions for target compounds.

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Background: Considering how gendered experiences play a role in the lives of patients with heart failure (HF) is critical in order to understand their experiences, optimise clinical care and reduce health inequalities.

Objectives: The aim of our study was to review how gender is being studied in qualitative research in HF, specifically to (1) analyse how gender is conceptualised and applied in qualitative HF research; and (2) identify methodological opportunities to better understand the gendered experiences of patients with HF.

Eligibility Criteria: We conducted a systematic search of literature, including qualitive or mixed-methods articles focussing on patients' perspectives in HF and using gender as a primary analytical factor, excluding articles published before 2000.

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