Toward the European Health Data Space: The IMPaCT-Data secure infrastructure for EHR-based precision medicine research.

BACKGROUND: Art. 50 of the proposal for a Regulation on the European Health Data Space (EHDS) states that "health data access bodies shall provide access to electronic health data only through a secure processing environment, with technical and organizational measures and security and interoperability requirements". OBJECTIVE: To identify specific security measures that nodes participating in health data spaces shall implement based on the results of the IMPaCT-Data project, whose goal is to facilitate the exchange of electronic health records (EHR) between public entities based in Spain and the secondary use of this information for precision medicine research in compliance with the General Data Protection Regulation (GDPR). DATA AND METHODS: This article presents an analysis of 24 out of a list of 72 security measures identified in the Spanish National Security Scheme (ENS) and adopted by members of the federated data infrastructure developed during the IMPaCT-Data project. RESULTS: The IMPaCT-Data case helps clarify roles and responsibilities of entities willing to participate in the EHDS by reconciling technical system notions with the legal terminology. Most relevant security measures for Data Space Gatekeepers, Enablers and Prosumers are identified and explained. CONCLUSION: The EHDS can only be viable as long as the fiduciary duty of care of public health authorities is preserved; this implies that the secondary use of personal data shall contribute to the public interest and/or to protect the vital interests of the data subjects. This condition can only be met if all nodes participating in a health data space adopt the appropriate organizational and technical security measures necessary to fulfill their role.

Luminescent Ln3+-based silsesquioxanes with a ß-diketonate antenna ligand: toward the design of efficient temperature sensors.

We report the synthesis and single-crystal X-ray diffraction, magnetic, and luminescence measurements of a novel family of luminescent cage-like tetranuclear silsesquioxanes (PhSiO1.5)8(LnO1.5)4(O)(C5H8O2)6(EtOH)2(CH3CN)2⋅2CH3CN (where Ln = Tb, 1; Tb/Eu, 2; and Gd, 3), featuring seven-coordinated lanthanide ions arranged in a one-capped trigonal prism geometry. Compounds 1 and 2 exhibit characteristic Tb3+ and Tb3+/Eu3+-related emissions, respectively, sensitized by the chelating antenna acetylacetonate (acac) ligands upon excitation in the UV and visible spectral regions. Compound 3 is used to assess the energies of the triplet states of the acac ligand. For compound 1, theoretical calculations on the intramolecular energy transfer and multiphonon rates indicate a thermal balance between the 5D4 Stark components, while the mixed Tb3+/Eu3+ analog 2, with a Tb:Eu ratio of 3:1, showcases intra-cluster Tb3+-to-Eu3+ energy transfer, calculated theoretically as a function of temperature. By utilizing the intensity ratio between the 5D4→7F5 (Tb3+) and 5D0→7F2 (Eu3+) transitions in the range 11-373 K, we demonstrate the realization of a ratiometric luminescent thermometer with compound 2, operating in the range 11-373 K with a maximum relative sensitivity of 2.0% K-1 at 373 K. These findings highlight the potential of cage-like silsesquioxanes as versatile materials for optical sensing-enabled applications.

Insights into NdIII to YbIII Energy Transfer and Its Implications in Luminescence Thermometry.

This work challenges the conventional approach of using NdIII 4F3/2 lifetime changes for evaluating the experimental NdIII → YbIII energy transfer rate and efficiency. Using near-infrared (NIR) emitting Nd:Yb mixed-metal coordination polymers (CPs), synthesized via solvent-free thermal grinding, we demonstrate that the NdIII [2H11/2 → 4I15/2] → YbIII [2F7/2 → 2F5/2] pathway, previously overlooked, dominates energy transfer due to superior energy resonance and J-level selection rule compatibility. This finding upends the conventional focus on the NdIII [4F3/2 → 4I11/2] → YbIII [2F7/2 → 2F5/2] transition pathway. We characterized Nd0.890Yb0.110(BTC)(H2O)6 as a promising cryogenic NIR thermometry system and employed our novel energy transfer understanding to perform simulations, yielding theoretical thermometric parameters and sensitivities for diverse Nd:Yb ratios. Strikingly, experimental thermometric data closely matched the theoretical predictions, validating our revised model. This novel perspective on NdIII → YbIII energy transfer holds general applicability for the NdIII/YbIII pair, unveiling an important spectroscopic feature with broad implications for energy transfer-driven materials design.

Machine Learning-Based Prediction of Changes in the Clinical Condition of Patients With Complex Chronic Diseases: 2-Phase Pilot Prospective Single-Center Observational Study.

BACKGROUND: Functional impairment is one of the most decisive prognostic factors in patients with complex chronic diseases. A more significant functional impairment indicates that the disease is progressing, which requires implementing diagnostic and therapeutic actions that stop the exacerbation of the disease. OBJECTIVE: This study aimed to predict alterations in the clinical condition of patients with complex chronic diseases by predicting the Barthel Index (BI), to assess their clinical and functional status using an artificial intelligence model and data collected through an internet of things mobility device. METHODS: A 2-phase pilot prospective single-center observational study was designed. During both phases, patients were recruited, and a wearable activity tracker was allocated to gather physical activity data. Patients were categorized into class A (BI≤20; total dependence), class B (2060; moderate or mild dependence, or independent). Data preprocessing and machine learning techniques were used to analyze mobility data. A decision tree was used to achieve a robust and interpretable model. To assess the quality of the predictions, several metrics including the mean absolute error, median absolute error, and root mean squared error were considered. Statistical analysis was performed using SPSS and Python for the machine learning modeling. RESULTS: Overall, 90 patients with complex chronic diseases were included: 50 during phase 1 (class A: n=10; class B: n=20; and class C: n=20) and 40 during phase 2 (class B: n=20 and class C: n=20). Most patients (n=85, 94%) had a caregiver. The mean value of the BI was 58.31 (SD 24.5). Concerning mobility aids, 60% (n=52) of patients required no aids, whereas the others required walkers (n=18, 20%), wheelchairs (n=15, 17%), canes (n=4, 7%), and crutches (n=1, 1%). Regarding clinical complexity, 85% (n=76) met patient with polypathology criteria with a mean of 2.7 (SD 1.25) categories, 69% (n=61) met the frailty criteria, and 21% (n=19) met the patients with complex chronic diseases criteria. The most characteristic symptoms were dyspnea (n=73, 82%), chronic pain (n=63, 70%), asthenia (n=62, 68%), and anxiety (n=41, 46%). Polypharmacy was presented in 87% (n=78) of patients. The most important variables for predicting the BI were identified as the maximum step count during evening and morning periods and the absence of a mobility device. The model exhibited consistency in the median prediction error with a median absolute error close to 5 in the training, validation, and production-like test sets. The model accuracy for identifying the BI class was 91%, 88%, and 90% in the training, validation, and test sets, respectively. CONCLUSIONS: Using commercially available mobility recording devices makes it possible to identify different mobility patterns and relate them to functional capacity in patients with polypathology according to the BI without using clinical parameters.

Privacy-preserving federated machine learning on FAIR health data: A real-world application.

Objective: This paper introduces a privacy-preserving federated machine learning (ML) architecture built upon Findable, Accessible, Interoperable, and Reusable (FAIR) health data. It aims to devise an architecture for executing classification algorithms in a federated manner, enabling collaborative model-building among health data owners without sharing their datasets. Materials and methods: Utilizing an agent-based architecture, a privacy-preserving federated ML algorithm was developed to create a global predictive model from various local models. This involved formally defining the algorithm in two steps: data preparation and federated model training on FAIR health data and constructing the architecture with multiple components facilitating algorithm execution. The solution was validated by five healthcare organizations using their specific health datasets. Results: Five organizations transformed their datasets into Health Level 7 Fast Healthcare Interoperability Resources via a common FAIRification workflow and software set, thereby generating FAIR datasets. Each organization deployed a Federated ML Agent within its secure network, connected to a cloud-based Federated ML Manager. System testing was conducted on a use case aiming to predict 30-day readmission risk for chronic obstructive pulmonary disease patients and the federated model achieved an accuracy rate of 87%. Discussion: The paper demonstrated a practical application of privacy-preserving federated ML among five distinct healthcare entities, highlighting the value of FAIR health data in machine learning when utilized in a federated manner that ensures privacy protection without sharing data. Conclusion: This solution effectively leverages FAIR datasets from multiple healthcare organizations for federated ML while safeguarding sensitive health datasets, meeting legislative privacy and security requirements.

Correction: Carbon dots on LAPONITE® hybrid nanocomposites: solid-state emission and inter-aggregate energy transfer.

Correction for 'Carbon dots on LAPONITE® hybrid nanocomposites: solid-state emission and inter-aggregate energy transfer' by Bruno S. D. Onishi et al., Nanoscale, 2024, https://doi.org/10.1039/d3nr06336d.

Carbon dots on LAPONITE® hybrid nanocomposites: solid-state emission and inter-aggregate energy transfer.

This study delves into the photoluminescent characteristics of solid-state hybrid carbon dots/LAPONITE® (CDLP). These hybrid materials were synthesized using the hydrothermal method with a precise pH control set at 8.5. The LAPONITE® structure remains intact without structural collapse, and we detected the possible deposition of carbon dots (CDs) aggregates on the clay mineral's edges. The use of different concentrations of citric acid (10-, 6-, 2- and 1-times weight/weight of LAPONITE® mass, maintaining the 1 : 1 molar ratio with ethylenediamine) during synthesis results in different CDs concentrations in CDLP-A (low precursors concentration) and CDLP-D (high concentration) with an amorphous structure and average size around 2.8-3.0 nm. The CDLP displayed visible photoluminescence emission in aqueous and powder, which the last underwent quenching according to lifetimes and quantum yield measurements. Low-temperature measurements revealed an enhancement of the non-radiative pathways induced by aggregation. Energy transfer modelling based on Förster-Dexter suggests an approximate mean distance of 9.5 nm between clusters of CDs.

Deciphering Density Fluctuations in the Hydration Water of Brownian Nanoparticles via Upconversion Thermometry.

We investigate the intricate relationship among temperature, pH, and Brownian velocity in a range of differently sized upconversion nanoparticles (UCNPs) dispersed in water. These UCNPs, acting as nanorulers, offer insights into assessing the relative proportion of high-density and low-density liquid in the surrounding hydration water. The study reveals a size-dependent reduction in the onset temperature of liquid-water fluctuations, indicating an augmented presence of high-density liquid domains at the nanoparticle surfaces. The observed upper-temperature threshold is consistent with a hypothetical phase diagram of water, validating the two-state model. Moreover, an increase in pH disrupts the organization of water molecules, similar to external pressure effects, allowing simulation of the effects of temperature and pressure on hydrogen bonding networks. The findings underscore the significance of the surface of suspended nanoparticles for understanding high- to low-density liquid fluctuations and water behavior at charged interfaces.

Sindrome de burnout, estado nutricional y conducta alimentaria en trabajadores de la salud / Burnout syndrome, nutritional status and eating behavior in health workers

Introducción: El síndrome de Burnout o agotamiento profesional aparece como una respuesta al estrés crónico en eltrabajo, con secuelas negativas a nivel individual y general. Objetivo: Determinar la presencia del síndrome de bur-nout, estado nutricional y conducta alimentaria en los traba-jadores de la salud. Materiales y Métodos: Estudio transversal, descriptivo y observacional. Para identificar la presencia del síndrome de Burnout se aplicó el cuestionario Maslach Burnout Inventory.La evaluación del estado nutricional se realizó por medio dela toma de datos antropométricos y la conducta alimentaria se identificó con el cuestionario semi-cuantitativo de frecuen-cia de consumo de alimentos. Resultados: La muestra de investigación estuvo constituida por 142 mujeres y 91 varones que representaron el60,9% y 39,1% respectivamente. La conducta alimentaria secaracterizó por un consumo insuficiente de lácteos, hortalizas,frutas, carnes, panes y cereales. Con respecto a las caracte-rísticas antropométricas relacionadas al estado nutricional seencontró que el mayor porcentaje de investigados presentanuna prevalencia de exceso de peso del 78% y un riesgo car-diovascular del 91%. En las 3 subescalas que valora la pre-sencia del síndrome de burnout se pudo observar que tantoen los componentes de cansancio emocional y despersonali-zación son bajos, reflejando un 60,9% y 53,6% respectiva-mente. Mientras que la dimensión de realización personal esalta, evidenciando un 63,1%.Conclusiones: En la población de estudio no existen indicios de presencia de síndrome de burnout, sin embargo, un menor porcentaje de trabajadores de la salud presentan can-sancio emocional (19,3%), despersonalización (25,8%) ybaja realización personal (19,7%). Por lo cual se recomienda, buscar estrategias para reducir la carga administrativa y disminuir el nivel de agotamiento laboral en quienes lo padeceny prevenirlo en aquellos que presenten factores de riesgo (AU)

Introduction: Burnout syndrome or professional exhaustion appears as a response to chronic stress at work, withnegative consequences at an individual and general level. Objective: Determine the presence of burnout syndrome, nutritional status and eating behavior in health workers. Materials and methods: Cross-sectional, descriptive and observational study. To identify the presence of Burnout syndrome, the Maslach Burnout Inventory questionnaire was applied. To assess the nutritional status, anthropometric datawere taken and eating behavior was identified with the semi-quantitative questionnaire on frequency of food consumption. Results: The research sample consisted of 142 womenand 91 men who represented 60.9% and 39.1% respectively. The eating behavior was characterized by an insufficient con-sumption of dairy products, vegetables, fruits, meats, breadsand cereals. Regarding the anthropometric characteristics re-lated to nutritional status, it was found that the highest per-centage of those investigated had a prevalence of excessweight of 78% and a cardiovascular risk of 91%. In the 3 sub-scales that assess the presence of burnout syndrome, it wasobserved that both the emotional exhaustion and deperson-alization components are low, reflecting 60.9% and 53.6%respectively. While the dimension of personal fulfillment ishigh, evidencing 63.1%.Conclusions: In the study population there are no indica-tions of the presence of burnout syndrome, however, a lowerpercentage of health workers present emotional exhaustion(19.3%), depersonalization (25.8%) and low personal fulfillment (19.7%). Therefore, it is recommended to seek strategies to reduce the administrative burden and reduce the levelof job burnout in those who suffer from it and prevent it inthose who present risk factors (AU)

Graft-Host Interaction and Its Effect on Wound Repair Using Mouse Models.

Autologous skin grafting has been commonly used in clinics for decades to close large wounds, yet the cellular and molecular interactions between the wound bed and the graft that mediates the wound repair are not fully understood. The aim of this study was to better understand the molecular changes in the wound triggered by autologous and synthetic grafting. Defining the wound changes at the molecular level during grafting sets the basis to test other engineered skin grafts by design. In this study, a full-thickness skin graft (SKH-1 hairless) mouse model was established. An autologous full-thickness skin graft (FTSG) or an acellular fully synthetic Biodegradable Temporising Matrix (BTM) was grafted. The wound bed/grafts were analysed at histological, RNA, and protein levels during the inflammation (day 1), proliferation (day 5), and remodelling (day 21) phases of wound repair. The results showed that in this mouse model, similar to others, inflammatory marker levels, including Il-6, Cxcl-1, and Cxcl-5/6, were raised within a day post-wounding. Autologous grafting reduced the expression of these inflammatory markers. This was different from the wounds grafted with synthetic dermal grafts, in which Cxcl-1 and Cxcl-5/6 remained significantly high up to 21 days post-grafting. Autologous skin grafting reduced wound contraction compared to wounds that were left to spontaneously repair. Synthetic grafts contracted significantly more than FTSG by day 21. The observed wound contraction in synthetic grafts was most likely mediated at least partly by myofibroblasts. It is possible that high TGF-ß1 levels in days 1-21 were the driving force behind myofibroblast abundance in synthetic grafts, although no evidence of TGF-ß1-mediated Connective Tissue Growth Factor (CTGF) upregulation was observed.

Estrategia metodológica para la prevención de los problemas de salud bucal en la educación primaria

Introducción: Las transformaciones que se evidencian en la sociedad, hace que surjan, en las instituciones educativas, exigencias referidas a la preparación de los profesionales para enfrentar los nuevos desafíos y lograr ciudadanos con una formación integral y responsables con el cuidado de su salud. Ahí es donde ocupan un lugar privilegiado los aspectos relacionados con la prevención de los problemas de salud bucal en la educación primaria. Objetivo: Diseñar una estrategia metodológica para la prevención de los problemas de salud bucal en la educación primaria. Materiales y métodos: La estrategia fue diseñada en cuatro etapas: diagnóstico, planeación, instrumentación, y control y evaluación. Para su elaboración se consideró el diagnóstico realizado en el curso escolar 2021-2022 a tres escuelas primarias pertenecientes al municipio Matanzas. Se definió la variable fundamental de la investigación y, a partir de su operacionalización, se establecieron las dimensiones e indicadores. Se aplicaron métodos del nivel teórico y empírico del conocimiento, así como métodos estadísticos. Resultados: Se evidencian limitadas acciones de preparación metodológica que inciden en el tratamiento a la prevención de los problemas de salud bucal desde el contexto escolar. Para transformar los resultados obtenidos se diseñó la estrategia metodológica. Conclusiones: El diseño de la estrategia metodológica revela una manera novedosa de organizar y realizar actividades en el sistema de trabajo metodológico de la escuela primaria, para contribuir a la preparación metodológica del maestro primario en la temática.

Introduction: The transformations that are evident in society cause to arise, in educational institutions, demands regarding to the training of professionals to face the new challenges and achieve citizens with comprehensive training and responsible with the care of their health. That is where aspects related to the prevention of oral health problems in primary education occupy a privileged place. Objective: To design a methodological strategy for the prevention of oral health problems in primary education. Materials and methods: The strategy was designed in four stages: diagnosis, planning, implementation; and evaluation and control. For its elaboration, the diagnosis carried out during the 2021-2022 school year in three primary schools belonging to the municipality of Matanzas was considered. The fundamental variable of the research was defined and the dimensions and indicators were established, on the basis of its operationalization. Methods of the theoretical and empirical level of knowledge were applied, as well as statistical methods. Results: It is evidenced that methodological preparation actions that have repercussion on the prevention of oral health problems from the school context are not enough. To transform the results obtained, the methodological strategy was designed. Conclusions: The design of the methodological strategy reveals a new way of organizing and carrying out activities in the methodological work system of the primary school, to contribute to the methodological preparation of primary teacher on the topic.

Extending the Palette of Luminescent Primary Thermometers: Yb3+/Pr3+ Co-Doped Fluoride Phosphate Glasses.

The unique tunable properties of glasses make them versatile materials for developing numerous state-of-the-art optical technologies. To design new optical glasses with tailored properties, an extensive understanding of the intricate correlation between their chemical composition and physical properties is mandatory. By harnessing this knowledge, the full potential of vitreous matrices can be unlocked, driving advancements in the field of optical sensors. We herein demonstrate the feasibility of using fluoride phosphate glasses co-doped with trivalent praseodymium (Pr3+) and ytterbium (Yb3+) ions for temperature sensing over a broad range of temperatures. These glasses possess high chemical and thermal stability, working as luminescent primary thermometers that rely on the thermally coupled levels of Pr3+ that eliminate the need for recurring calibration procedures. The prepared glasses exhibit a relative thermal sensitivity and uncertainty at a temperature of 1.0% K-1 and 0.5 K, respectively, making them highly competitive with the existing luminescent thermometers. Our findings highlight that Pr3+-containing materials are promising for developing cost-effective and accurate temperature probes, taking advantage of the unique versatility of these vitreous matrices to design the next generation of photonic technologies.

A prospective observational concordance study to evaluate computational model-driven clinical practice guidelines for Type 2 diabetes mellitus.

BACKGROUND: Clinical Practice Guidelines (CPGs) provide healthcare professionals with performance and decision-making support during the treatment of patients. Sometimes, however, they are poorly implemented. The IDE4ICDS platform was developed and validated with CPGs for type 2 diabetes mellitus (T2DM). OBJECTIVE: The main objective of this paper is to present the results of the clinical validation of the IDE4ICDS platform in a real clinical environment at two health clinics in the Andalusian Public Health System (SSPA) in the southern Spanish region of Andalusia. METHODS: National and international knowledge sources on T2DM were selected and reviewed and used to define a diabetes CPG model on the IDE4ICDS platform. Once the diabetes CPG was configured and deployed, it was validated. A total of 506 patients were identified as meeting the inclusion criteria, of whom 130 could be recruited and 89 attended the appointment. RESULTS: A concordance analysis was performed with the kappa value. Overall agreement between the recommendations provided by the system and those recorded in each patient's EHR was good (0.61 - 0.80) with a total kappa index of 0.701, leading to the conclusion that the system provided appropriate recommendations for each patient and was therefore well-functioning. CONCLUSIONS: A series of possible improvements were identified based on the limitations for the recovery of variables related to the quality of these recolected variables, the detection of duplicate recommendations based on different input variables for the same patient, and clinical usability, such as the capacity to generate reports based on the recommendations generated. Nevertheless, the project resulted in the IDE4ICDS platform: a Clinical Decision Support System (CDSS) capable of providing appropriate recommendations for improving the management and quality of patient care and optimizing health outcomes. The result of this validation is a safe and effective pathway for developing and adopting digital transformation at the regional scale of the use of biomedical knowledge in real healthcare.

Desmopressin as a Treatment in Patients With Von Willebrand Disease: A Systematic Review.

Von Willebrand disease (VWD) and hemophilia A are the most common inherited bleeding disorders. Quantitative or qualitative von Willebrand factor (VWF) anomalies cause this disorder in men and women. VWF, a plasma glycoprotein, relies on platelets for primary hemostasis. It also carries and stabilizes factor VIII in the blood. VWD has several categories. Types 1 and 3 have partial or total VWF quantitative deficiencies. However, type 2 and its subtypes have VWF quality issues. The major treatment is desmopressin (DDAVP), which replaces endogenous VWF and factor VIII (FVIII). Plasma-derived VWF/FVIII products may also be substituted exogenously. Treatment with plasma-derived or recombinant VWF concentrates without FVIII is also possible. The purpose of this retrospective, single-center research was to evaluate DDAVP's efficacy in treating VWD based on many criteria established in the current literature. We looked at the results on Google Scholar, the Cochrane Library, and PubMed/Medline. There were a total of 10 papers found, evaluated, and accepted for inclusion in this study. A comprehensive analysis of DDVAP's role in VWD was compiled from the aforementioned papers. Various aspects of DDVAP were captured by including an analysis of complementary treatments used in surgical and clinical settings. We also describe the treatment's intended impact on the different variations of the disease. Given these results, further investigation is required to determine the most effective method for managing VWD so that it may be included in standard clinical practice.

Hybrid multifunctionalized mesostructured stellate silica nanoparticles loaded with ß-diketonate Tb3+/Eu3+ complexes as efficient ratiometric emissive thermometers working in water.

Despite the great effort made in recent years on lanthanide-based ratiometric luminescent nanothermometers able to provide temperature measurements in water, their design remains challenging. We report on the synthesis and properties of efficient ratiometric nanothermometers that are based on mesoporous stellate nanoparticles (MSN) of ca. 90 nm functionalized with an acetylacetonate (acac) derivative inside the pores and loaded with ß-diketonate-Tb3+/Eu3+ complexes able to work in water, in PBS or in cells. Encapsulating a [(Tb/Eu)9(acac)16(µ3-OH)8(µ4-O)(µ4-OH)] complex (Tb/Eu ratio = 19/1 and 9/1) led to hybrid multifunctionalized nanoparticles exhibiting a Tb3+ and Eu3+ characteristic temperature-dependent luminescence with a high rate Tb3+-to-Eu3+ energy transfer. According to theoretical calculations, the modifications of photoluminescence properties and the increase in the pairwise Tb3+-to-Eu3+ energy transfer rate by about 10 times can be rationalized as a change of the coordination number of the Ln3+ sites of the complex from 7 to 8 accompanied by a symmetry evolution from Cs to C4v and a slight shortening of intramolecular Ln3+-Ln3+ distances upon the effect of encapsulation. These nanothermometers operate in the 20-70 °C range with excellent photothermal stability, cyclability and repeatability (>95%), displaying a maximum relative thermal sensitivity of 1.4% °C-1 (at 42.7 °C) in water. Furthermore, they can operate in cells with a thermal sensitivity of 8.6% °C-1 (at 40 °C), keeping in mind that adjusting the calibration for each system is necessary to ensure accurate measurements.

Spotlight on Luminescence Thermometry: Basics, Challenges, and Cutting-Edge Applications.

Luminescence (nano)thermometry is a remote sensing technique that relies on the temperature dependency of the luminescence features (e.g., bandshape, peak energy or intensity, and excited state lifetimes and risetimes) of a phosphor to measure temperature. This technique provides precise thermal readouts with superior spatial resolution in short acquisition times. Although luminescence thermometry is just starting to become a more mature subject, it exhibits enormous potential in several areas, e.g., optoelectronics, photonics, micro- and nanofluidics, and nanomedicine. This work reviews the latest trends in the field, including the establishment of a comprehensive theoretical background and standardized practices. The reliability, repeatability, and reproducibility of the technique are also discussed, along with the use of multiparametric analysis and artificial-intelligence algorithms to enhance thermal readouts. In addition, examples are provided to underscore the challenges that luminescence thermometry faces, alongside the need for a continuous search and design of new materials, experimental techniques, and analysis procedures to improve the competitiveness, accessibility, and popularity of the technology.

Luminescent Single-Molecule Magnets as Dual Magneto-Optical Molecular Thermometers.

Luminescent thermometry allows the remote detection of the temperature and holds great potential in future technological applications in which conventional systems could not operate. Complementary approaches to measuring the temperature aiming to enhance the thermal sensitivity would however represent a decisive step forward. For the first time, we demonstrate the proof-of-concept that luminescence thermometry could be associated with a complementary temperature readout related to a different property. Namely, we propose to take advantage of the temperature dependence of both magnetic (canonical susceptibility and relaxation time) and luminescence features (emission intensity) found in Single-Molecule Magnets (SMM) to develop original dual magneto-optical molecular thermometers to conciliate high-performance SMM and Boltzmann-type luminescence thermometry. We highlight this integrative approach to concurrent luminescent and magnetic thermometry using an air-stable benchmark SMM [Dy(bbpen)Cl] (H2 bbpen=N,N'-bis(2-hydroxybenzyl)-N,N'-bis(2-methylpyridyl)ethyl-enediamine)) exhibiting Dy3+ luminescence. The synergy between multiparametric magneto-optical readouts and multiple linear regression makes possible a 10-fold improvement in the relative thermal sensitivity of the thermometer over the whole temperature range, compared with the values obtained with the single optical or magnetic devices.

Health data hubs: an analysis of existing data governance features for research.

BACKGROUND: Digital transformation in healthcare and the growth of health data generation and collection are important challenges for the secondary use of healthcare records in the health research field. Likewise, due to the ethical and legal constraints for using sensitive data, understanding how health data are managed by dedicated infrastructures called data hubs is essential to facilitating data sharing and reuse. METHODS: To capture the different data governance behind health data hubs across Europe, a survey focused on analysing the feasibility of linking individual-level data between data collections and the generation of health data governance patterns was carried out. The target audience of this study was national, European, and global data hubs. In total, the designed survey was sent to a representative list of 99 health data hubs in January 2022. RESULTS: In total, 41 survey responses received until June 2022 were analysed. Stratification methods were performed to cover the different levels of granularity identified in some data hubs' characteristics. Firstly, a general pattern of data governance for data hubs was defined. Afterward, specific profiles were defined, generating specific data governance patterns through the stratifications in terms of the kind of organization (centralized versus decentralized) and role (data controller or data processor) of the health data hub respondents. CONCLUSIONS: The analysis of the responses from health data hub respondents across Europe provided a list of the most frequent aspects, which concluded with a set of specific best practices on data management and governance, taking into account the constraints of sensitive data. In summary, a data hub should work in a centralized way, providing a Data Processing Agreement and a formal procedure to identify data providers, as well as data quality control, data integrity and anonymization methods.

Desiderata for the Data Governance and FAIR Principles Adoption in Health Data Hubs.

The objective of this study, as part of the European HealthyCloud project, has been to analyse the data management mechanisms of representative data hubs in Europe and identify whether they comply with an adequate adoption of FAIR principles that will enable data discovery. A dedicated consultation survey was performed, and the analysis of the results allowed to generate a set of comprehensive recommendations and best practices so that these data hubs can be integrated into a data sharing ecosystem such as the future European Health Research and Innovation Cloud.