Research Settings Research Articles

Application of spatial-omics to the classification of kidney biopsy samples in transplantation.

Improvement of long-term outcomes through targeted treatment is a primary concern in kidney transplant medicine. Currently, the validation of a rejection diagnosis and subsequent treatment depends on the histological assessment of allograft biopsy samples, according to the Banff classification system. However, the lack of (early) disease-specific tissue markers hinders accurate diagnosis and thus timely intervention. This challenge mainly results from an incomplete understanding of the pathophysiological processes underlying late allograft failure. Integration of large-scale multimodal approaches for investigating allograft biopsy samples might offer new insights into this pathophysiology, which are necessary for the identification of novel therapeutic targets and the development of tailored immunotherapeutic interventions. Several omics technologies - including transcriptomic, proteomic, lipidomic and metabolomic tools (and multimodal data analysis strategies) - can be applied to allograft biopsy investigation. However, despite their successful application in research settings and their potential clinical value, several barriers limit the broad implementation of many of these tools into clinical practice. Among spatial-omics technologies, mass spectrometry imaging, which is under-represented in the transplant field, has the potential to enable multi-omics investigations that might expand the insights gained with current clinical analysis technologies.

Psychometric properties of the Child Anxiety and Depression Life Interference Scale - Young Adult version.

A life interference measure specifically designed for young adults with anxiety and depressive symptoms does not currently exist. This paper describes the development and psychometric evaluation of a brief self-report measure of life interference associated with young adult anxiety and depression, the Child Anxiety and Depression Life Interference Scale - Young Adult version (CADLIS-YA). Cross-sectional, correlational and exploratory factor analysis (EFA). Five-hundred and thirty-two participants aged 18-24 years recruited from an undergraduate and community sample completed the CADLIS-YA. An EFA supported a three-factor model describing the impact of young adult anxiety and depression on social life, family and daily life interference. Test-retest reliability and internal consistency were good to excellent. Convergent validity was demonstrated, and the scale differentiated between young adults with and without elevated anxiety and depressive symptoms. Support for divergent validity was limited. The CADLIS-YA is a reliable and valid life interference measure for young adults with symptoms of anxiety and depression. It is potentially suitable for administration in low-resource research settings and it has promise for use in clinical settings; however, it needs validation in a clinical sample.

Artificial intelligence governance framework for healthcare.

Recent advancements in the field of Artificial Intelligence (AI) provide promising applications of this technology with the aim of solving complex healthcare challenges. These include optimizing operational efficiencies, supporting clinical administrative functions, and improving care outcomes. Numerous AI models are validated in research settings but few make their way into useful applications due to challenges associated with implementation and adoption. In this article, we describe some of these challenges, along with the need for a facilitating entity to safely translate AI systems into practical use. The authors propose a new AI governance framework to enable healthcare organizations with a mechanism to implement and adopt AI systems.

A short version of the Everyday Cognition scale can predict clinical progression and cognitive decline.

The Everyday Cognition scale (ECog-39) scores are associated with future cognitive decline. We investigated whether the 12-item ECog (ECog-12), which is being collected in Alzheimer's Disease Neuroimaging Initiative (ADNI)4, can predict progression. Baseline self (PT)- and study partner (SP)-ECog-12 data were extracted from the 39-item version collected in the ADNI. Weibull analysis examined the relationship between baseline ECog-12 and future clinical progression (change in Clinical Dementia Rating Sum of Boxes [CDR-SB] scores and diagnostic conversion). Higher PT- and SP-ECog-12 scores were associated with faster CDR-SB worsening, with hazard ratios in cognitively unimpaired (CU) 3.34 and 9.61, mild cognitive impairment (MCI) 1.44 and 2.82, and dementia 0.93 and 1.82. They were associated with conversion from CU to MCI 3.01 and 6.24 and MCI to dementia 1.61 and 3.07. SP-ECog-12 provided a higher prognostic value for predicting clinical progression, so this can help identify and monitor patients at risk in research and health-care settings. The 12-item Everyday Cognition scale (ECog-12) data obtained from both raters increased diagnostic conversion risk from cognitively unimpaired to mild cognitive impairment (MCI) and from MCI to dementia. ECog-12, rated by study partners, was associated with an increased risk of Clinical Dementia Rating Sum of Boxes worsening in all diagnostic groups. Our results provide novel information about the specific scoring outputs and rater types (participant vs. study partner) of ECog-12 that can facilitate screening, prioritization, and longitudinal monitoring of the clinical progression of participants in Alzheimer's Disease Neuroimaging Initiative 4 and other Alzheimer's disease clinical studies, clinical trials, and in health-care settings.

Culturally-relevant physical activity for public health promotion: global evidence synthesis

Abstract Background The WHO has noted the importance of cultural insights for health. Culturally-relevant physical activity has a growing evidence base in many regions and specific populations, but the scope and scale for global health promotion is underexplored. Methods A multinational expert team used a critical literature review method to: (1) define culturally-relevant physical activity; (2) delineate relevant characteristics supporting inclusion in population-level health promotion and surveillance; and (3) provide agenda setting in research, policy, and practice from a global public health promotion perspective. The critical review method, which evaluates rather than summarizes literature, was chosen as the research evidence is complex, broad, and has not been synthesized previously from this perspective. Results Culturally-relevant physical activity was defined as practices that include physical activity based on a population’s cultural customs. These can be Indigenous (e.g., hula, an Indigenous dance of Native Hawaiians) or regional (e.g., Shota (Shotë), an Albanian folk dance). Practices have shared characteristics that support multi-dimensional value for health, engagement, and healing. These include a collectivist, intergenerational component, passed from elders and shared forward with children as part of a community. Many have foundations in nature, a strength for health and wellbeing in green and blue spaces. Many include traditional art, clothing, accessories, and music with deep significance, including care for the tools and location of practice (e.g, drums, boats, land). Many practices would not be captured in harmonized public health surveillance systems despite their value. From this synthesis, research hypotheses were created and next steps proposed. Conclusions This evidence synthesis supports engagement, planning, uptake, policy, surveillance, and study of culturally-relevant physical activity for public health promotion locally and globally. Key messages • An important strength of culturally-relevant physical activity is that it is context and population specific. However, this may hide the scope and scale of the existing evidence supporting this work. • This evidence synthesis confirms how culturally-relevant physical activity is valuable globally across shared assets in research and practice, supporting next steps for public health promotion.

Assessment of coronary microvascular function with absolute coronary fl ow measurements

Abstract Background Reliable assessment of microvascular function is essential, both in research setting and clinical practice. New techniques, such as continuous coronary thermodilution, are very promising and could revolutionize the field. However, there is a need for proper validation before widespread use is possible. Purpose The goals of this study were: 1. to validate the potential of saline infusion to generate maximum hyperemia in vivo. 2. to validate absolute blood flow (ABF) measured with continuous coronary thermodilution at higher (40-50 ml/min) infusion speeds 3. To assess the safety of higher infusion speeds. Methods Fourteen closed-chest sheep underwent ABF measurements with increasing saline infusion speeds with and without adenosine. Another seven open-chest sheep underwent these measurements with epicardial doppler flow probes on both the left anterior descending artery and left circumflex coronary artery. Maximal hyperemia was defined as maximal flow after 45 seconds of proximal occlusion. The principles of laboratory animal care and all national regulations were followed. Results 20 ml/min of saline infusion induced lower hyperemic coronary flow (140 vs 191 ml/min, p=0.0165) and lower coronary flow reserve (CFR) (1.82 vs 3.21, p= <0.0001) than coronary occlusion. In contrast, 30 ml/min resulted in flow (196 vs 192 ml/min, p=0.8292) and CFR (2.77 vs 3.21, p=0.1107) that were not different from post-occlusion. There was a significant flow overestimation bias (Bland-Altman: Bias ± SD: -73.09 ± 30.52, 95% Limits of agreement: -132.9 to -13.27) with 40-50ml/min of saline. Occasionally, higher saline infusion rates resulted in ischemic ECG-changes and ventricular fibrillation (9.5% at 50 ml/min). Conclusions Continuous saline infusion of 30ml/min, but not 20 ml/min, induced maximal hyperemia. ABF measured with saline infusion speeds of 40-50 ml/min was not accurate nor safe, and should therefore be avoided.

Advancements in colorectal cancer detection: The role of immuno‐positron emission tomography, immuno‐single‐photon emission computed tomography, and machine learning applications

AbstractColorectal cancer (CRC) ranks as the world's second most prevalent cancer and third in mortality. Detection and diagnosis are crucial in research and clinical settings. While colonoscopy and computed tomographic colonography are widely used for identifying organic lesions, positron emission tomography (PET) and single‐photon emission computed tomography (SPECT) offer superior visualization of molecular changes. These immuno‐PET and immuno‐SPECT techniques surpass conventional [18F] Fluorodeoxyglucose PET/CT in specificity and sensitivity, improving CRC diagnostics and supporting therapeutic strategies. This review emphasizes the role of immuno‐PET/SPECT in CRC diagnosis and establishing a foundation for therapeutic strategies, facilitating hierarchical management through the identification of treatment‐responsive populations, prediction of therapeutic outcomes, and support for intraoperative imaging. This review introduces the preclinical and clinical utility of immunoconjugates for detecting colorectal adenomas, and primary, metastatic, or recurrent CRC, focusing on specific CRC cell targets like the epidermal growth factor receptor and carcinoembryonic antigen. The review also covers various mAb‐based immunoconjugates and engineered mAb fragments, including diabodies and minibodies. Finally, it looks into the great promise of machine learning in PET or SPECT and it addresses the challenges of translating preclinical successes into clinical practice for colorectal adenoma diagnosis, proposing potential solutions and directions for future research.

The power of the adult attachment interview in predicting subsequent psychopathology: a tribute to Mary Main

ABSTRACT Mary Main’s conceptualization and operationalization of attachment states of mind through the Adult Attachment Interview (AAI) represent seminal contributions to the attachment field. The AAI is a semi-structured clinical interview used to assess attachment states of mind that is widely used in research and clinical settings. Unresolved state of mind regarding loss or trauma has been linked to concurrent internalizing symptoms. The current study explored the associations between unresolved classification and later depression and anxiety, above and beyond trauma history and symptoms. Participants (n = 70) were parents (98.6% female, 67.1% Black/African-American) from a follow-up of a randomized clinical trial of a parenting program for families referred to child welfare services. Parents completed the AAI, Childhood Trauma Questionnaire, and the Psychiatric Diagnostic Screening Questionnaire at timepoint 1 (T1) and the Brief Symptom Inventory approximately 12 years later, at timepoint 2 (T2). Hierarchical regressions revealed that unresolved state of mind significantly predicted depression at T2, and marginally predicted anxiety at T2, above and beyond childhood trauma, post-traumatic stress symptoms, and early internalizing symptoms. These results suggest that unresolved states of mind are clinically significant and provide unique information about later internalizing symptoms in adults with a history of trauma or loss.

Participatory topological mapping: A novel approach for exploring and communicating situated knowledge of complex socio-ecological systems

Land use change impacts on Sámi reindeer husbandry are well-documented, but existing maps often fail to capture socio-ecological relationships between herders, reindeer and nature. Conventional Geographic Information Systems (GIS) simplify these relationships, lacking local context and excluding valuable knowledge due to their rigid structure. This paper introduces participatory topological mapping, a low-tech, knowledge co-production method that allows communities to share geospatial insights without advanced software. Combining hand-drawn maps with a standardised topological structure facilitates the visualisation of geographical relationships and dynamic land use systems from a local perspective. Developed and assessed through a Swedish case study in collaboration with Vittangi and Malå reindeer herding communities, the method aims to reduce barriers to knowledge exchange and enhance dialogue between Indigenous knowledge-holders, researchers and decision-makers. The paper discusses the authors’ experiences with participatory topological mapping, emphasising its potential and limitations for knowledge exchange. The method is advocated for broader use, recognising its value in articulating concerns about land use change beyond research settings and reindeer husbandry. Participatory topological mapping enables knowledge-holders to control the map and its narrative, deciding what is included or excluded. The maps and accompanying stories are valuable sources for documenting, sharing and analysing local perspectives on landscapes and the effects of land use change. The method treats mapping as a social process with the potential to affect how we understanding the world. When thoughtfully applied, it offers a valuable avenue for knowledge co-production, fostering deeper engagement, supporting informed decision-making and empowering communities.

Phonological skills and executive functions: their effects on reading and arithmetic abilities across varied performance levels using quantile regression

ABSTRACT We aimed to investigate the effects of phonological awareness – PA, rapid automatised naming – RAN, visuospatial and verbal working memory – WM and executive functions – EF on the reading and arithmetic skills of children with low- to medium-performance levels. Participants were 472 Brazilian children from 3rd to 5th grades. Quantile Regression Analysis was employed. The PA, RAN and EF were shared main predictors of both reading and math. Verbal WM emerged as a unique main predictor for reading, while visuospatial WM and visuospatial short-term memory were the main predictors for arithmetic. Among children with very low reading proficiency, the effects of cognitive predictors were more pronounced, a trend not observed in arithmetic. The results suggest varying magnitudes of cognitive predictors for reading when considering different levels of performance/difficulties. We also corroborate unique and shared main predictors of reading and math that have implications for research, clinical and educational settings.

High prevalence of porcine cysticercosis in slaughtered pigs in Rwanda: An abattoir survey.

Porcine cysticercosis (PC) is an important public health problem, especially in sub-Saharan Africa, but limited information is available on the prevalence of infection in pigs entering the food chain. Existing diagnostic methods vary in accuracy and efficiency; whole carcass dissection is the most reliable method but is labour-intensive and destroys the carcass so can only be used in a research setting. Serological tests offer lower specificity, while meat inspection and lingual examination lack sensitivity, hampering accurate estimates and the removal of infected pigs from the food chain. Here, we provide the first estimates of PC prevalence in abattoirs in Rwanda. We use whole carcass dissection to determine the diagnostic accuracy of a commercial antigen-ELISA to estimate the true prevalence of infection across Rwanda and identify Taenia species affecting local pigs. We carried out a cross-sectional survey in 6 abattoirs across Rwanda (n = 744 pigs), with whole carcass dissection of a subset of 67 pigs. Cysts were detected in 20/67 (30%) of carcasses, with >1000 cysts in 9/20 (45%) of infected pigs. All cysts were identified as Taenia solium by PCR-RFLP, with no cysts of Taenia hydatigena found. The antigen-ELISA showed a sensitivity of 90% (95% CI: 68-99) and specificity of 85% (95% CI: 72-94), when compared to dissection. Using these estimates, the true prevalence was calculated as 25-43% in two abattoirs in south-west Rwanda, and 2-3% in the rest of the country. Fewer than half of infected pigs were detected by tongue palpation and post-mortem veterinary inspection. Our data indicate a high prevalence of PC in Rwandan abattoirs. Tongue palpation and veterinary inspections, as currently carried out, have little impact in removing cyst-infested pigs from the food chain. Additional interventions are needed, such as proper pig husbandry, treatment and vaccination against cysticercosis, health education, improved sanitation and hygiene, and improved processing and cooking of meat.

Cooling and physiology during parent cuddling infants with neonatal encephalopathy in usual care: CoolCuddle-2 study.

CoolCuddle, enabling parents to cuddle their babies with neonatal encephalopathy (NE) during therapeutic hypothermia and intensive care (TH), was developed in research settings. To determine the impact of implementing CoolCuddle in usual care in six diverse neonatal intensive care units on the cooling process and intensive care. This vital sign cohort study embedded within the CoolCuddle implementation study enrolled 36 infants receiving TH for NE. Nurses received training on CoolCuddle and a standard operating procedure using an instruction video. After consenting, parents experienced up to 2 h of CoolCuddle with 30 min of pre- and post-cuddle observation. We used multilevel, clustered linear modelling to assess the physiological stability in temperature, cardio-respiratory and neurophysiology across the CoolCuddle. In 60 CoolCuddles over 93.12 h, respiratory parameters, heart rate or neurological function did not vary between the epochs (p > 0.05). During cuddle, sleep-wake cycling on amplitude-integrated EEG increased (p = 0.008) and there was weak evidence of lower pain scores (p = 0.08). No adverse effects were observed. Implementing CoolCuddle with support in usual practice maintained physiological stability and did not significantly affect the cooling process or intensive care, and may improve infant comfort. Ongoing monitoring of adverse effects when implementing CoolCuddle is recommended.

Implementing the Color Wheel System in an Inclusive Middle School Setting

The Color Wheel System (CWS), a class-wide, rule-based behavioral management strategy, is a successful intervention to reduce off-task behaviors for elementary school students. However, this intervention has rarely been investigated in the middle school setting. The current study implemented the CWS within three sixth-grade general education inclusionary classrooms in a middle school in the United States. A multiple-baseline across classrooms design evaluated the effects of the CWS on class-wide inappropriate vocalizations. Partial-interval time-sampling recorded intervals when any student in the class displayed inappropriate vocalizations. Visual analysis of time-series graphs and effect size measures indicated that the CWS created large, immediate, and sustained decreases in inappropriate vocalizations across all classrooms. Implications for using the CWS as a class-wide behavioral management strategy within the middle school setting and directions for future research are discussed.

Comprehensive evaluation and prediction of editing outcomes for near-PAMless adenine and cytosine base editors

Base editors enable the direct conversion of target bases without inducing double-strand breaks, showing great potential for disease modeling and gene therapy. Yet, their applicability has been constrained by the necessity for specific protospacer adjacent motif (PAM). We generate four versions of near-PAMless base editors and systematically evaluate their editing patterns and efficiencies using an sgRNA-target library of 45,747 sequences. Near-PAMless base editors significantly expanded the targeting scope, with both PAM and target flanking sequences as determinants for editing outcomes. We develop BEguider, a deep learning model, to accurately predict editing results for near-PAMless base editors. We also provide experimentally measured editing outcomes of 20,541 ClinVar sites, demonstrating that variants previously inaccessible by NGG PAM base editors can now be precisely generated or corrected. We make our predictive tool and data available online to facilitate development and application of near-PAMless base editors in both research and clinical settings.

Stakeholder mapping of precision weeding commercialization ecosystem in California

CONTEXTPrecision weeding, a sector of agricultural technology in which drones and/or automated weeders use chemical, mechanical, or thermal means to eradicate weeds, has moved from academic research settings to commercialization. Because of labor shortage pressures, the push to gain competitive advantages, and the environmental impacts of excessive chemical inputs, many California growers have been interested in adopting precision weeding technologies in their operations. OBJECTIVEUsing semi-structured qualitative interviews, this study investigated the viewpoints of three key stakeholder groups involved in the diffusion and adoption of precision weeding technologies: California growers, precision weeding startups, and agricultural technology venture capital firms. With the supplemental viewpoints of large agricultural firms and their corporate venture capital arms and government agencies, this study seeks to understand the compatible motivations between stakeholders, current collaborative models between stakeholders and their limitations, and the user journey for growers adopting precision weeding technology. METHODSWe conducted 17 semi-structured qualitative interviews with diverse stakeholders in the precision weeding sector to gather textual data and gain high data saturation. Data collection balanced rigorous criteria for participant selection with adaptive interview questions to ensure depth and relevance. The analysis procedure involved coding and thematic framework development, complemented by grounded theory for iterative data examination and stakeholder map creation for distilling cross-organizational insights and stakeholder dynamics. RESULTS AND CONCLUSIONSThe results indicated that compatible motivations include addressing current labor issues, reducing costs, and the potential of precision weeding to transform agriculture. Less cited but still popular motivations included having more weeding options, meeting specific field needs, and environmental sustainability. The individual and stakeholder group cognitive maps demonstrated that concerns such as startup longevity, the high expenses of precision weeding machinery, and some startups lacking a direct connection to growers commonly limit the growers' adoption of precision weeding technologies. SIGNIFICANCEThe procedure and cognitive mapping presented in this study can be applied to other emerging agtech technologies and ecosystems.

Safety and adherence of early oral immunotherapy for peanut allergy in a primary care setting: a retrospective cross-sectional study

BackgroundPeanut allergy is a common food allergy with potentially life-threatening implications. Early oral immunotherapy for peanut allergy (P-EOIT) has been shown to be effective and safe in research and specialty clinic settings. Provision of P-EOIT in primary care would make it available to more patients. We sought to assess the safety of P-EOIT in a primary care setting by documenting the rates of peanut-related allergic reactions leading to emergency department (ED) visits and use of epinephrine. We also examined adherence by assessing the percentage of patients reaching maintenance phase and continuing ingestion after one year of P-EOIT.MethodsThis retrospective study included all patients aged less than 36 months who started P-EOIT at a primary care allergy clinic in New Brunswick, Canada, from 2016 to 2020. The population included patients who (1) had a history of an allergic reaction to peanuts with a positive skin prick test or positive peanut specific IgE level (ps-IgE) or (2) no history of ingestion and a baseline ps-IgE ≥5 kU/L. Patients had biweekly clinic visits with graded increases in peanut protein up to a maintenance dose of 300 mg of peanut protein daily. A blinded retrospective review of paper charts and electronic medical records was conducted along with phone interviews regarding ED visits and epinephrine use.ResultsAll 69 consented patients reached maintenance dose over a median of 29 weeks, and 66 patients (95.7%) were still regularly consuming peanut protein after 1 year of maintenance. One patient had a peanut ingestion-related ED visit requiring epinephrine during the escalation phase of peanut protein dosing (1.4%). During the first year of maintenance phase, no patients had peanut ingestion-related ED visits nor required epinephrine.ConclusionEarly oral immunotherapy for peanut allergy in a primary care setting appears to be safe and our findings suggest that it does not lead to an increased burden of emergency department visits. Our population had high adherence rates, with the majority achieving maintenance dose and staying on this dose for one year.

Robot learning on the job: Human-in-the-loop autonomy and learning during deployment

With the rapid growth of computing powers and recent advances in deep learning, we have witnessed impressive demonstrations of novel robot capabilities in research settings. Nonetheless, these learning systems exhibit brittle generalization and require excessive training data for practical tasks. To harness the capabilities of state-of-the-art robot learning models while embracing their imperfections, we present Sirius, a principled framework for humans and robots to collaborate through a division of work. In this framework, partially autonomous robots are tasked with handling a major portion of decision-making where they work reliably; meanwhile, human operators monitor the process and intervene in challenging situations. Such a human–robot team ensures safe deployments in complex tasks. Further, we introduce a new learning algorithm to improve the policy’s performance on the data collected from the task executions. The core idea is re-weighing training samples with approximated human trust and optimizing the policies with weighted behavioral cloning. We evaluate Sirius in simulation and on real hardware, showing that Sirius consistently outperforms baselines over a collection of contact-rich manipulation tasks, achieving an 8% boost in simulation and 27% on real hardware than the state-of-the-art methods in policy success rate, with twice faster convergence and 85% memory size reduction. Videos and more details are available at https://ut-austin-rpl.github.io/sirius/ .

A guide to gene-disease relationships in nephrology.

The use of next-generation sequencing technologies such as exome and genome sequencing in research and clinical care has transformed our understanding of the molecular architecture of genetic kidney diseases. Although the capability to identify and rigorously assess genetic variants and their relationship to disease has advanced considerably in the past decade, the curation of clinically relevant relationships between genes and specific phenotypes has received less attention, despite it underpinning accurate interpretation of genomic tests. Here, we discuss the need to accurately define gene-disease relationships in nephrology and provide a framework for appraising genetic and experimental evidence critically. We describe existing international programmes that provide expert curation of gene-disease relationships and discuss sources of discrepancy as well as efforts at harmonization. Further, we highlight the need for alignment of disease and phenotype terminology to ensure robust and reproducible curation of knowledge. These collective efforts to support evidence-based translation of genomic sequencing into practice across clinical, diagnostic and research settings are crucial for delivering the promise of precision medicine in nephrology, providing more patients with timely diagnoses, accurate prognostic information and access to targeted treatments.

Open-loop narrowband magnetic particle imaging based on mixed-frequency harmonic magnetization response

IntroductionMagnetic particle imaging (MPI), a radiation-free, dynamic, and targeted imaging technique, has gained significant traction in both research and clinical settings worldwide. Signal-to-noise ratio (SNR) is a crucial factor influencing MPI image quality and detection sensitivity, and it is affected by ambient noise, system thermal noise, and the magnetization response of superparamagnetic nanoparticles. Therefore to address the high amplitude system and inherent thermal noise present in conventional MPI systems is essential to improve detection sensitivity and imaging resolution.MethodThis study introduces a novel open-loop, narrow-band MPI signal acquisition system based on mixed-frequency harmonic magnetization response. Allowing superparamagnetic nanoparticles to be excited by low frequency, high amplitude magnetic fields and high frequency, low amplitude magnetic fields, the excitation coil generates a mixed excitation magnetic field at a mixed frequency of 8.664 kHz (fH + 2fL), and the tracer of superparamagnetic nanoparticles can generate a locatable superparamagnetic magnetization signal with rich harmonic components in the mixed excitation magnetic field and positioning magnetic field. The third harmonic signal is detected by a Gradiometer coil with high signal-to-noise ratio, and the voltage cloud image is formed.ResultThe experimental results show that the external noise caused by the excitation coil can be effectively reduced from 12 to about 1.5 μV in the imaging area of 30 mm × 30 mm, which improves the stability of the detection signal of the Gradiometer coil, realizes the detection of high SNR, and makes the detection sensitivity reach 10 μg Fe. By mixing excitation, the total intensity of the excitation field is reduced, resulting in a slight improvement of the resolution under the same gradient field, and the spatial resolution of the image reconstruction is increased from 2 mm under the single frequency excitation (20.7 kHz) in the previous experiment to 1.5 mm under the mixed excitation (8.664 kHz).ConclusionsThese experimental results highlight the effectiveness of the proposed open-loop narrowband MPI technique in improving signal detection sensitivity, achieving high signal-to-noise ratio detection and improving the quality of reconstructed images by changing the excitation magnetic field frequency of the excitation coil, providing novel design ideas and technical pathways for future MPI systems.

A community-centric model for conference co-creation: the world conference on CDG for patients, families and professionals

BackgroundPatient and public co-creation and involvement in health initiatives have been witnessing great expansion in recent years. From healthcare to research settings, collaborative approaches are becoming increasingly prevalent and diverse, especially in the field of rare diseases which faces complex challenges. Conference development and implementation, however, have been primarily guided by passive, information-sharing models. There is a need for conferences to evolve towards more inclusive, interactive, collaborative, and problem-solving platforms. Here, we aimed to report on a pioneer model, emphasizing a community partnership approach to conference co-creation that takes the World Conference on Congenital Glycosylation Disorders (CDG) as an exemplary case.MethodsTo answer the need to overcome the lack of access to high-quality information which limits CDG diagnosis, research and treatment options, the World CDG Organization has been refining a community-centric model for conference co-creation. Focusing on the 5th edition of the conference, data on stakeholders’ preferences was collected using an online survey and a poll to define the conference agenda, guide its development and select optimal dates for an all-stakeholder inclusive, relevant and participatory event.ResultsWe describe the complexities of the community-centric conference co-creation model, detailing its refined methodology and the outcomes achieved. The model is grounded on a participative approach to promote people-centered research and care for CDG patients. The involvement of the public in the conference co-creation and in participatory methods allowed the generation of knowledge on community needs and preferences.ConclusionThis paper describes a reliable, highly adaptable conference co-creation model that fosters community-building, disseminates understandable information, and serves as a borderless platform to incentivize multiple stakeholder collaborations towards CDG research and drug development. We argue this is a reproducible model that can be endorsed and more widely adopted by other disease communities and events.