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The absence of standardized protocols for integrating end-stage renal disease patient data into AI models has constrained the potential of AI in enhancing patient care. Here, we present a protocol for processing electronic medical records from 1,336 peritoneal dialysis patients with more than 10,000 follow-up records. We describe steps for environment setup and transforming records into analyzable formats. We then detail procedures for developing a directly usable dataset for training AI models to predict one-year all-cause mortality risk. For complete details on the use and execution of this protocol, please refer to Ma et al.1.

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This retrospective study demonstrated that patients with advanced non-small cell lung cancer who experienced any-grade or grade 1-2 immune-related adverse events (irAEs) with immune checkpoint inhibitor plus chemotherapy (ICI+Chemo) as first-line treatment regimen had significantly longer progression-free survival (PFS; p < 0.001) and overall survival (OS; p < 0.05) compared with patients without any irAE. Three variables were identified as predictors of favorable PFS and OS: absence of baseline brain metastasis (p < 0.05), receiving first-line ICI+Chemo (p < 0.01), and occurrence of any grade adverse events (p < 0.001). Using these three variables, two nomograms were generated to predict PFS and OS, which were validated using two independent cohorts treated with Chemo or ICI+Chemo (n = 161) or ICI monotherapy (n = 109). Patients with low scores in discovery and validation cohorts consistently had significantly longer PFS (p < 0.001) and OS (p < 0.05) than those with high scores. Our findings provide preliminary evidence of the clinical utility of a nomogram in prognosticating ICI-treated patients.

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This study aimed to analytically describe the epidemiology of herpes simplex virus type 1 (HSV-1) infection in the United States through a systematic review and meta-analytics. We reviewed 159 publications, identifying 190 seroprevalence measures and 43 proportions of HSV-1 detection in genital herpes. The pooled mean HSV-1 seroprevalence was 38.0% (95% CI: 30.9-45.4) among general-population children and 63.5% (95% CI: 61.3-65.7) among general-population adults. Age explained 43% of the seroprevalence variation, with rates increasing progressively with age. Seroprevalence declined by 0.99-fold (95% CI: 0.99-0.99) per year. The pooled mean proportion of HSV-1 detection in genital herpes was 15.4% (95% CI: 10.8-20.6), increasing by 1.02-fold (95% CI: 1.00-1.04) per year. Recurrent genital herpes had a 0.17-fold (95% CI: 0.09-0.32) lower proportion of HSV-1 detection compared to first-episode cases. The epidemiology of HSV-1 is shifting, marked by a decline in oral acquisition during childhood and an increase in genital acquisition during adulthood.

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Cardiovascular diseases (CVDs) and metabolic disorders (MDs) have surfaced as formidable challenges to global health, significantly imperiling human well-being. Recently, microneedles (MNs) have garnered substantial interest within the realms of CVD and MD research. Offering a departure from conventional diagnostic and therapeutic methodologies, MNs present a non-invasive, safe, and user-friendly modality for both monitoring and treatment, thereby marking substantial strides and attaining pivotal achievements in this avant-garde domain, while also unfurling promising avenues for future inquiry. This thorough review encapsulates the latest developments in employing MNs for both the surveillance and management of CVDs and MDs. Initially, it succinctly outlines the foundational principles and approaches of MNs in disease surveillance and therapy. Subsequently, it delves into the pioneering utilizations of MNs in the surveillance and management of CVDs and MDs. Ultimately, this discourse synthesizes and concludes the primary findings of this investigation, additionally prognosticating on the trajectory of MN technology.

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Objective: The purpose of this study was to determine, for the first time, whether the application of a self-management program with global postural re-education (GPR) influences stress and sleep quality in female health science students. Methods: In this randomized controlled trial pilot study, forty-one female health science students were randomized into a control group (n=21) and an intervention group (n=20). Participants underwent 8 weeks of self-management with and without GPR, after familiarization and therapy training. Outcomes included the State-Trait Anxiety Inventory (STAI) questionnaire and cortisol levels in saliva measured with the "CORTISOL Saliva ELISA SA E-6000" kit. Sleep quality was measured with the Pittsburgh Sleep Quality Index (PSQI) and a Sleep Diary; total sleep time (TST), sleep onset latency (SOL), wakefulness after sleep onset (WASO), sleep efficiency (SE), and perceived sleep quality or satisfaction were assessed using the Likert scale. Results: After self-treatment with GPR, participants in the intervention group showed lower cortisol levels compared to the control group (p = 0.041). Additionally, the intervention group demonstrated statistically significant improvements in sleep quality according to their PSQI (p = 0.010), STAI (p = 0.043), SOL (p = 0.049), and SE (p = 0.002). Conclusion: This study shows that self-management through GPR helps reduce stress and improve sleep quality in female health science students. Clinical Trial Registration: https://clinicaltrials.gov/, identifier NCT05488015.

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Cardiovascular diseases (CVDs) pose a significant global health threat, responsible for a considerable portion of worldwide mortality. Flexible electronics enable continuous, noninvasive, real-time, and portable monitoring, providing an ideal platform for personalized healthcare. Nevertheless, challenges persist in sustaining stable adherence across diverse and intricate skin environments, hindering further advancement toward clinical applications. Strategies such as structural design and chemical modification can significantly enhance the environmental adaptability and monitoring performance of flexible electronics. This review delineates processing techniques, including structural design and chemical modification, to mitigate signal interference from sebaceous skin, motion artifacts from the skin in motion, and infection risks from fragile skin, thereby enabling the accurate monitoring of key cardiovascular indicators in complex physiological environments. Moreover, it delves into the potential for the strategic development and improvement of flexible electronics to ensure their alignment with complex physiological environment requirements, facilitating their transition to clinical applications.

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Intrapartum azithromycin prophylaxis has shown the potential to reduce maternal infections but showed no effect on neonatal sepsis and mortality. Antibiotic exposure early in life may affect gut microbiota development, leading to undesired consequences. Therefore, we here assessed the impact of 2 g oral intrapartum azithromycin on gut microbiota development from birth to the age of 3 years, by 16S-rRNA gene profiling of rectal samples from 127 healthy Gambian infants selected from a double-blind randomized placebo-controlled clinical trial (PregnAnZI-2). Microbiota trajectories showed, over the first month of life, a slower community transition and increase of Enterobacteriaceae (p = 0.001) and Enterococcaceae (p = 0.064) and a decrease of Bifidobacterium (p < 0.001) in the azithromycin compared to the placebo arm. Intrapartum azithromycin alters gut microbiota development and increases proinflammatory bacteria in the first month of life, which may have undesirable effects on the child.

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Morocco's approach to developing palliative care is notably constrained, with an almost complete scarcity of laws and regulations in this area. Despite some progress, palliative care remains fragmented and underdeveloped, with persistent disparities in its accessibility and provision. Nationally, there is a lack of sufficient and detailed information about its progress. This paper aims to fill this gap by offering an overview of the history, infrastructure, education, and legislation framework surrounding palliative care in the country. Significant strides have been made since its implementation, but challenges persist, including the need for a comprehensive legislation framework, more trained professionals, and expanded services beyond oncology to other chronic diseases. Strengthening infrastructure and policies is essential to meet the growing needs of Morocco's population.

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Systemic immunity plays an important role in cancer immune surveillance and response to therapy, but little is known about the immune status of children with solid cancers. We performed a high-dimensional single-cell analysis of systemic immunity in 50 treatment-naive pediatric cancer patients, comparing them to age-matched healthy children. Children with cancer had a lower frequency of peripheral NK cells, which was not due to tumor sequestration, had lower surface levels of activating receptors and increased levels of the inhibitory NKG2A receptor. Furthermore, the natural killer (NK) cells of pediatric cancer patients were less mature and less cytotoxic when tested in vitro. Culture of these NK cells with interleukin-2 restored their cytotoxicity. Collectively, our data show that NK cells in pediatric cancer patients are impaired through multiple mechanisms and identify rational strategies to restore their functionality.

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Patient-derived xenograft (PDX) and organoids derived from PDX (PDXOs) are ideal pre-clinical models, which recapitulate the tumor heterogeneity. We provide the steps to establish PDX and PDXOs from patients with esophageal squamous cell carcinoma (ESCC) and their utility in examining radiotherapy. We describe steps for generating ESCC-PDXs, four cycles of ionizing radiation treatments using X-ray on PDX, and evaluating radiosensitivity of PDXs. We then detail procedures for establishing and characterizing radioresistant organoids derived from PDX. For complete details on the use and execution of this protocol, please refer to Liu et al.,1 Yang et al.,2 and Chen et al.3.

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Cohort studies investigating respiratory disease pathogenesis aim to pair mechanistic investigations with longitudinal virus detection but are limited by the burden of methods tracking illness over time. In this study, we explored the utility of a purpose-built AERIAL TempTracker smartphone app to assess real-time data collection and adherence monitoring and overall burden to participants, while identifying symptomatic respiratory illnesses in two birth cohort studies. We observed strong adherence with daily app usage over the six-month study period, with positive feedback from participant families. A total of 648 symptomatic respiratory illness events were identified with significant variability between individuals in the frequency, duration, and virus detected. Collectively, our data show that a smartphone app provides a reliable method to capture the longitudinal virus data in cohort studies which facilitates the understanding of early life infections in chronic respiratory disease development.

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We investigated the effects of 35 inflammatory cytokines on respiratory outcomes, including COVID-19, asthma (atopic and non-atopic), chronic obstructive pulmonary disease (COPD), and pulmonary function indices, using Mendelian randomization and colocalization analyses. The emerging associations were further explored using observational analyses in the UK Biobank. We found an inverse association between genetically predicted macrophage colony stimulating factor (MCSF), soluble intercellular adhesion molecule-1 (sICAM), and soluble vascular cell adhesion molecule-1 with risk of COVID-19 outcomes. sICAM was positively associated with atopic asthma risk, whereas tumor necrosis factor-alfa showed an inverse association. A positive association was shown between interleukin-18 and COPD risk (replicated in observational analysis), whereas an inverse association was shown for interleukin-1 receptor antagonist (IL-1ra). IL-1ra and monocyte chemotactic protein-3 were positively associated with lung function indices, whereas inverse associations were shown for MCSF and interleukin-18 (replicated in observational analysis). Our results point to these cytokines as potential pharmacological targets for respiratory traits.

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Plasma shows distinct metabolomic and proteomic signatures in response to combination therapy with lenvatinib and anti-programmed death-1 (PD-1) antibody in treating hepatocellular carcinoma (HCC). Here, we present a protocol for analyzing plasma proteomes from patients with HCC receiving combination therapy. We describe steps for interpreting mass spectrometry data by database searching using MaxQuant and filtering and processing database search outcomes. We then detail procedures for downstream analyses including normalization, differential expression analysis, functional enrichment analysis, correlation analysis, consensus clustering, and survival analysis. For complete details on the use and execution of this protocol, please refer to Li et al.1.

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Biobanking of patient-derived specimens offers unique opportunities for retrospective testing that could potentially contribute to diagnosing and evaluating clinical conditions, advancing personalized medicine and translational biomedical discovery. In this protocol, we detail the collection, processing, and cryopreservation of peripheral blood, bone marrow, and lymph nodes from patients with hematological malignancies. This protocol can be used for multiomics to gain cellular and molecular insights into blood cancers and to test the therapeutic potential of compounds for translational biomedical research. For complete details on the use and execution of this protocol, please refer to Lim et al.1 and Rijal et al.2.

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BACKGROUND: Early- to mid-career academics (EMCAs) represent a core component of the Australian higher education workforce. These academics experience major challenges to their wellbeing, driving a strong desire to leave academia. OBJECTIVES: Determine (1) EMCA awareness of, and engagement with, previous University- and Faculty-level diversity and inclusion events/initiatives and (2) opportunities and solutions to address previously reported diversity and inclusion issues experienced in the workplace. METHODS: 114 EMCAs in medicine, dentistry and health sciences completed an electronic cross-sectional survey. The survey contained a list of University- and Faculty-provided diversity and inclusion initiatives and sought respondent ratings of interest, awareness (knowing/hearing about) and engagement (attending/applying/participating). Two in-person focus groups comprising participants who opted in during the survey or who responded to broader advertising were conducted. Both groups explored opportunities and solutions to address diversity and inclusion issues reported in an earlier organisation-wide survey. RESULTS: Whilst early- and mid-career academics reported high interest in diversity and inclusion events, they also reported limited awareness and engagement with these events, feeling unsupported to engage or perceiving consequences for workload. Focus groups identified five themes related to opportunities and solutions to address diversity and inclusion issues experienced in the workplace (1) enhanced relational support for career progression, (2) clear and transparent processes for efficient working, (3) reducing structural barriers to create opportunity, (4) improved financial renumeration, and (5) improved transitions and pathways. CONCLUSION: Early- and mid-career academics often felt unable to engage with activities outside of their immediate work responsibilities, such as events about diversity and inclusion, due to feelings of high workload. A systems approach to deploying targeted strategies to address these wellbeing challenges is recommended to sustain and retain this critical workforce.

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Cancer cachexia mouse models are needed to recapitulate the clinical features of patients with cachexia. Here, we present a protocol for the establishment and evaluation of cancer cachexia mouse models. We delineate the steps in preparing tumor cells for inoculation and surgical procedures. After the establishment of these mouse models, we describe essential techniques to assess cancer cachexia, including grip strength evaluation, tissue collection, and the calculation of cross-sectional areas of muscle tissue. For complete details on the use and execution of this protocol, please refer to Liu et al.,1 Yang et al.,2 Shi et al.,3 and Zhou et al.4.

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In human sepsis, myelocytosis and concomitant lymphopenia complicate the study of peripheral blood natural killer (NK) cells. Here, we present a protocol for isolating NK cells from peripheral blood of septic patients using magnetic cell separation. We describe steps for the depletion of non-NK cells and NK cell enrichment. We then detail procedures for comparing the results from this protocol to results obtained through the isolation procedures using two commercially available kits for NK cell isolation. For complete details on the use and execution of this protocol, please refer to Coulibaly et al.1.

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Here, we present a protocol for conducting bibliometric analysis in biomedicine using CiteSpace and VOSviewer. We describe the steps for extracting data from Web of Science, data cleaning, and preprocessing. We then detail procedures for identifying research trends and collaboration networks by visualizing data with CiteSpace; mapping co-authorship, co-citation, and keyword co-occurrence using VOSviewer; and analyzing highly cited literature to identify key publications and trends. Finally, we outline techniques for interpreting the visualizations to draw meaningful conclusions about the research landscape. For complete details on the use and execution of this protocol, please refer to Li et al.1.

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The magnetoelastic generator (MEG) is a fundamentally new platform technology to convert mechanical motions into electrical signals for sensing, therapeutics, and energy applications. Here, we present a protocol for fabricating and characterizing the MEG for personalized muscle physiotherapy when integrated into a wearable textile patch. We describe the steps for fabricating such a textile MEG, including the magnetomechanical coupling (MC) and magnetic induction (MI) layers, and characterizing their magnetoelastic and electrical properties. We then detail procedures for monitoring muscle biomechanical activities and muscle physiotherapy application. For complete details on the use and execution of this protocol, please refer to Xu et al.1.

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Despite the widespread use of personalization of eHealth technologies, there is a lack of comprehensive understanding regarding its application. This systematic review aims to bridge this gap by identifying and clustering different personalization approaches based on the type of variables used for user segmentation and the adaptations to the eHealth technology and examining the role of computational methods in the literature. From the 412 included reports, we identified 13 clusters of personalization approaches, such as behavior + channeling and environment + recommendations. Within these clusters, 10 computational methods were utilized to match segments with technology adaptations, such as classification-based methods and reinforcement learning. Several gaps were identified in the literature, such as the limited exploration of technology-related variables, the limited focus on user interaction reminders, and a frequent reliance on a single type of variable for personalization. Future research should explore leveraging technology-specific features to attain individualistic segmentation approaches.