Persisting Toward a Career in Biomedical Research: A Black, Male Scientists' Becoming-Scientist-With Multiple Spatial Configurations.

This study explores the process of becoming-scientist-with, a dynamic and relational concept that redefines science identity development as a nonlinear, evolving journey. Focused on a Black male student, Travis, the study examines how his science identity was shaped through entanglements with various material and discursive forces across multiple science, technology, engineering, math, and medicine (STEMM) learning spaces. Becoming-scientist-with is conceptualized as a continual negotiation of identity within these environments, emphasizing the roles of power, systemic racism, and institutional practices in shaping students' experiences.

Standardised lung function metrics in healthy athletes.

The objective of the current review was to identify whether clinically established lung function metrics of ventilatory and diffusion capacity obtained by standardised methodology are consistent with superior lung function in athletes, and whether this is related to maximal oxygen uptake (V̇O). Three independent reviewers performed a literature search in PubMed, Scopus, and reference screening. Data was extracted and analysed according to a predefined strategy.

Palliative Care Program for Community-Dwelling Individuals With Dementia and Caregivers: The IN-PEACE Randomized Clinical Trial.

Importance: Care management benefits community-dwelling patients with dementia, but studies include few patients with moderate to severe dementia or from racial and ethnic minority populations, lack palliative care, and seldom reduce health care utilization.

Objective: To determine whether integrated dementia palliative care reduces dementia symptoms, caregiver depression and distress, and emergency department (ED) visits and hospitalizations compared with usual care in moderate to severe dementia.

Design, Setting, And Participants: A randomized clinical trial of community-dwelling patients with moderate to severe dementia and their caregivers enrolled from March 2019 to December 2020 from 2 sites in central Indiana (2-year follow-up completed on January 7, 2023).

Treatment Strategies to Control Blood Pressure in People With Hypertension in Tanzania and Lesotho: A Randomized Clinical Trial.

Importance: Hypertension is the primary cardiovascular risk factor in Africa. Recently revised World Health Organization guidelines recommend starting antihypertensive dual therapy; clinical efficacy and tolerability of low-dose triple combination remain unclear.

Objectives: To compare the effect of 3 treatment strategies on blood pressure control among persons with untreated hypertension in Africa.

Stair-descent phenotypes in community-dwelling older adults determined using high-level balance tasks.

Background: Falls on stairs are a major cause of severe injuries among older adults, with stair descent posing significantly greater risks than ascent. Variations in stair descent phenotypes may reflect differences in physical function and biomechanical stability, and their identification may prevent falls.

Aims: This study aims to classify stair descent phenotypes in older adults and investigate the biomechanical and physical functional differences between these phenotypes using hierarchical cluster analysis.

Assessing the role of education level on climate change belief, concern and action: a multinational survey of healthcare professionals in nephrology.

Background: Climate change poses a significant risk to kidney health, and countries with lower national wealth are more vulnerable. Yet, citizens from lower-income countries demonstrate less concern for climate change than those from higher-income countries. Education is a key covariate.

Generative artificial intelligence enables the generation of bone scintigraphy images and improves generalization of deep learning models in data-constrained environments.

Purpose: Advancements of deep learning in medical imaging are often constrained by the limited availability of large, annotated datasets, resulting in underperforming models when deployed under real-world conditions. This study investigated a generative artificial intelligence (AI) approach to create synthetic medical images taking the example of bone scintigraphy scans, to increase the data diversity of small-scale datasets for more effective model training and improved generalization.

Methods: We trained a generative model on Tc-bone scintigraphy scans from 9,170 patients in one center to generate high-quality and fully anonymized annotated scans of patients representing two distinct disease patterns: abnormal uptake indicative of (i) bone metastases and (ii) cardiac uptake indicative of cardiac amyloidosis.

Impact of tissue-independent positron range correction on [Ga]Ga-DOTATOC and [Ga]Ga-PSMA PET image reconstructions: a patient data study.

Purpose: The positron range effect can impair PET image quality of Gallium-68 (Ga). A positron range correction (PRC) can be applied to reduce this effect. In this study, the effect of a tissue-independent PRC for Ga was investigated on patient data.

Revealing distinct treatment mechanisms and outcome correlations in patients with interstitial cystitis/bladder pain syndrome after different bladder therapies through urinary biomarker analysis.

Purpose: Urinary cytokine changes may serve as biomarkers to assess treatment outcomes for interstitial cystitis/bladder pain syndrome (IC/BPS). This study analyzed the changes in urinary cytokines following various bladder therapies and explored their clinical significance in therapeutic mechanisms.

Methods: A total of 122 patients with IC/BPS treated with platelet-rich plasma (PRP), botulinum toxin-A (BoTN-A), hyaluronic acid (HA), or low-energy shock wave (LESW) were evaluated.

Revolutionising Osseous Biopsy: The Impact of Artificial Intelligence in the Era of Personalised Medicine.

In a rapidly evolving healthcare environment, artificial intelligence (AI) is transforming diagnostic techniques and personalised medicine. This is also seen in osseous biopsies. AI applications in radiomics, histopathology, predictive modelling, biopsy navigation, and interdisciplinary communication are reshaping how bone biopsies are conducted and interpreted.

SHP2 promotes the epithelial-mesenchymal transition in triple negative breast cancer cells by regulating β-catenin.

Purpose: Growing evidence suggests that the tyrosine phosphatase SHP2 is pivotal for tumor progression. Triple-negative breast cancer (TNBC) is the most lethal subtype of breast cancer, characterized by its high recurrence rate, aggressive metastasis, and resistance to chemotherapy. Understanding the mechanisms of tumorigenesis and the underlying molecular pathways in TNBC could aid in identifying new therapeutic targets.

Xuefu Zhuyu Decoction improves hyperlipidemia through the MAPK/NF-κB and MAPK/PPARα/CPT-1A signaling pathway.

Xuefu Zhuyu Decoction (XZD) is widely used in the treatment of cardiovascular diseases. The purpose of this study was to explore the pharmacological effects and molecular mechanisms of XZD in improving hyperlipidemia and to provide a theoretical framework for clinical application. In this study, the signaling pathways regulated by XZD in improving hyperlipidemia were predicted by network pharmacology.

Quantification of training-induced alterations in body composition via automated machine learning analysis of MRI images in the thigh region: A pilot study in young females.

The maintenance of an appropriate ratio of body fat to muscle mass is essential for the preservation of health and performance, as excessive body fat is associated with an increased risk of various diseases. Accurate body composition assessment requires precise segmentation of structures. In this study we developed a novel automatic machine learning approach for volumetric segmentation and quantitative assessment of MRI volumes and investigated the efficacy of using a machine learning algorithm to assess muscle, subcutaneous adipose tissue (SAT), and bone volume of the thigh before and after a strength training.

Long-Term Outcomes of Jugular Paragangliomas Undergoing Gamma Knife Radiosurgery: A Single Center Experience.

Background And Objectives: Jugular paragangliomas (JPG) pose a surgical challenge because of their vascularity and complex location. Stereotactic radiosurgery (SRS) offers a minimally invasive management for patients with JPG. Our aim was to evaluate outcomes of Gamma Knife radiosurgery (GKRS) for the treatment of JPG over the long term.

Comparison of the incidence of recovery agitation with two different doses of ketamine in procedural sedation: A randomized clinical trial.

Objectives: The objective was to compare the incidence of recovery agitation and efficacy of two different intravenous (IV) doses of ketamine (0.5 mg/kg vs. 1 mg/kg) in adult patients who presented to the emergency department (ED) requiring procedural sedation with ketamine.

Exploring the Role of the Pharmacist in the Prevention and Management of Hypertensive Disorders in Pregnancy in Ashanti Region, Ghana.

Hypertensive disorders in pregnancy (HDPs) are a leading cause of poor maternal and birth outcomes worldwide. Prompt management of these disorders is usually recommended to optimize outcomes. Administration of pharmacotherapeutic agents is critical in the prevention and management of these disorders.

Test-retest reliability of cardiopulmonary exercise test-derived metrics in individuals with COPD versus healthy controls.

Background: Cardiopulmonary exercise testing (CPET) is usually considered the gold standard for assessing maximal oxygen consumption (V̇O), a health and performance marker in patients with chronic obstructive pulmonary disease (COPD). Despite the widespread application of CPET, the absolute and relative test-retest reliability of CPET-derived metrics remains unexamined.

Objective: To examine and compare test-retest reliability of CPET derived metrics in individuals with COPD and healthy matched controls.

Artificial intelligence-enhanced magnetic resonance imaging-based pre-operative staging in patients with endometrial cancer.

Objective: Evaluation of prognostic factors is crucial in patients with endometrial cancer for optimal treatment planning and prognosis assessment. This study proposes a deep learning pipeline for tumor and uterus segmentation from magnetic resonance imaging (MRI) images to predict deep myometrial invasion and cervical stroma invasion and thus assist clinicians in pre-operative workups.

Methods: Two experts consensually reviewed the MRIs and assessed myometrial invasion and cervical stromal invasion as per the International Federation of Gynecology and Obstetrics staging classification, to compare the diagnostic performance of the model with the radiologic consensus.

Mitochondria-localized dinuclear iridium(III) complexes for two-photon photodynamic therapy.

Photodynamic therapy (PDT), as a non-invasive cancer treatment, offers significant advantages including high temporal-spatial selectivity, minimal surgical intervention, and low toxicity, thereby garnering considerable research interest from across the world. In this study, we have developed a series of dinuclear cyclometalated Ir(III) complexes as potential two-photon photodynamic anticancer agents. These Ir(III) complexes demonstrate significant two-photon absorption (2PA) cross-sections ( = 66-166 GM) and specifically target mitochondria.

Information needs in vascular access decision-making: A qualitative study of patient and clinical stakeholder perspectives.

Background: The information and decision support needs required to embed a patient-centred strategy are challenging, as several haemodialysis vascular access strategies are possible with significant differences in short- and long-term outcomes of potential treatment options. We aimed to explore and describe stakeholder perspectives on information needs when making decisions about vascular access (VA) for haemodialysis.

Methods: We performed thematic analysis of seven (six online, one in person) focus group discussions including transcripts, post-it phrases and text responses with 14 patients and 12 vascular access professionals (four nephrologists, three surgeons and five nurses - Vascular access nurse specialists/Education and dialysis nurses) who participated in at total of six online and one in person focus group.

Construction of an Artificially Intelligent Model for Accurate Detection of HCC by Integrating Clinical, Radiological, and Peripheral Immunological Features.

Background: Integrating comprehensive information on hepatocellular carcinoma (HCC) is essential to improve its early detection. We aimed to develop a model with multi-modal features (MMF) using artificial intelligence (AI) approaches to enhance the performance of HCC detection.

Materials And Methods: A total of 1,092 participants were enrolled from 16 centers.

Electronic cigarettes for smoking cessation.

Background: Electronic cigarettes (ECs) are handheld electronic vaping devices that produce an aerosol by heating an e-liquid. People who smoke, healthcare providers, and regulators want to know if ECs can help people quit smoking, and if they are safe to use for this purpose. This is a review update conducted as part of a living systematic review.

Endocrine alterations in patients with pachydermoperiostosis.

Context: Pachydermoperiostosis (primary hypertrophic osteoarthropathy, PHO) usually due to biallelic loss-of-function variants in HPGD and SLCO2A1, has some features overlapping with acromegaly and often referred to endocrinologists. A detailed endocrine assessment is not available for these patients.

Objective: To assess the genetic and endocrine characteristics of PHO patients referred to endocrine centres with a possible diagnosis of acromegaly.