Ethical Considerations in the Use of Artificial Intelligence in Pain Medicine.

Although the integration of artificial intelligence (AI) into medicine and healthcare holds transformative potential, significant challenges must be necessarily addressed. This technological innovation requires a commitment to ethical principles. Key issues concern autonomy, reliability, and bias.

Fluid-structure-growth modeling in ascending aortic aneurysm: capability to reproduce a patient case.

Predicting the evolution of ascending aortic aneurysm (AscAA) growth is a challenge, complicated by the intricate interplay of aortic geometry, tissue behavior, and blood flow dynamics. We investigate a flow-structural growth and remodeling (FSG) model based on the homogenized constrained mixture theory to simulate realistic AscAA growth evolution. Our approach involves initiating a finite element model with an initial elastin insult, driven by the distribution of Time-Averaged Wall Shear Stress (TAWSS) derived from computational fluid dynamics simulations.

IFN-α neutralizing antibodies distinguish LADA from early-onset type 1 diabetes.

Context: Autoantibodies against IFN-α (AAb-IFN-α) might be associated with the less aggressive autoimmunity in latent autoimmune diabetes in adults (LADA) compared to early-onset type 1 diabetes (T1D).

Objective: To investigate the presence and clinical relevance of the positivity to AAb-IFN-α in people with LADA compared to T1D.

Research Design And Methods: Serum levels of AAb against IFN-α isoforms were measured using a cell-based approach in 41 subjects with LADA and in 90 subjects with T1D.

Obesity and Chronic Inflammation: Implications for Rheumatoid Arthritis, Spondyloarthritis, and Ulcerative Colitis.

Background: Immune-mediated inflammatory diseases (IMIDs) are a group of chronic conditions characterized by dysregulated immune responses and persistent inflammation. Rheumatoid arthritis (RA), spondyloarthritis (SpA), and ulcerative colitis (UC) exemplify prominent IMIDs, each presenting unique challenges for their management, that impact patient's quality of life (QoL). Obesity, marked by persistent low-grade inflammation, influences the progression, response to treatment, and clinical management of patients with RA, SpA, and UC.

Isolated Temporomandibular Arthritis as Presentation of Juvenile Idiopathic Arthritis.

Involvement of the temporomandibular joint (TMJ) in patients with juvenile idiopathic arthritis (JIA) has been increasingly reported, affecting up to 87% of cases. This involvement generally occurs after the diagnosis of JIA has been established; however, in the authors' cases, as in a few others documented in the literature, patients presented with isolated TMJ arthritis as the sole joint involvement. The authors performed a narrative literature review on TMJ involvement in JIA and reported 2 cases that presented with isolated TMJ arthritis as the initial manifestation of JIA.

Analytical characteristics and performance of a new hs-cTnI method: a multicenter-study.

Objectives: The present multicenter study was designed to evaluate the analytical performance and the 99th percentile value of the reference healthy population i.e., 99th percentile upper reference limit of the MAGLUMI CLIA high-sensitivity cardiac troponin I (hs-cTnI) method.

Global Burden of Gallbladder Cancer Attributable to Modifiable Risk Factors.

Gallbladder cancer (GBC) is a highly lethal and often overlooked malignancy increasingly affecting young adults. This study quantified the global proportion of GBC cases attributable to 10 key modifiable risk factors, employing Monte Carlo simulations and estimates from field-wide systematic review and meta-analysis. Approximately three-quarters of global GBC cases are attributable to key modifiable factors (74.

Photocatalytic Semiconductor-Metal Hybrid Nanoparticles: Single-Atom Catalyst Regime Surpasses Metal Tips.

Semiconductor-metal hybrid nanoparticles (HNPs) are promising materials for photocatalytic applications, such as water splitting for green hydrogen generation. While most studies have focused on Cd containing HNPs, the realization of actual applications will require environmentally compatible systems. Using heavy-metal free ZnSe-Au HNPs as a model, we investigate the dependence of their functionality and efficiency on the cocatalyst metal domain characteristics ranging from the single-atom catalyst (SAC) regime to metal-tipped systems.

Creation of an FeP Schreibersite Density Functional Tight Binding Model for Astrobiological Simulations.

The mineral schreibersite, e.g., FeP, is commonly found in iron-rich meteorites and could have served as an abiotic phosphorus source for prebiotic chemistry.

Solvent Engineering-Enabled Surface Defect Passivation in Cu2ZnSn(S,Se)4 Solar Cells with Low Open-Circuit Voltage Losses and Improved Carrier Lifetime.

The efficiency of earth-abundant kesterite Cu2ZnSn(S,Se)4 (CZTSSe) solar cells has been lagging behind the Shockley-Queisser limit primarily due to the presence of deep-level defects. These deep-level defects cause critical issues such as short carrier diffusion length, significant band tailing, and a large open-circuit voltage (VOC) deficit, ultimately leading to low device efficiency. To address these issues, we propose a post-fabrication defect healing strategy by dip-coating the CZTSSe film in dimethylformamide (DMF) solvent.

Structures and Rotational Constants of Monocyclic Monoterpenes at DFT Cost by Pisa Composite Schemes and Vibrational Perturbation Theory.

The structures and rotational constants of prototypical monocyclic terpenes and terpenoids have been analyzed by a general computational strategy based on recent Pisa composite schemes (PCS) and vibrational perturbation theory at second order (VPT2). Concerning equilibrium geometries, a one-parameter empirical correction is added to bond lengths obtained by the revDSD-PBEP86 double hybrid functional in conjunction with a slightly modified cc-pVTZ-F12 basis set. The same functional and basis set give accurate harmonic frequencies, whereas the cheaper B3LYP hybrid functional in conjunction with a double-ζ basis set is employed to compute the semidiagonal cubic force constants needed to obtain vibrational corrections to the rotational constants in the framework of the VPT2 model.

Skin Tape Stripping Reveals Distinct Biomarker Profiles in Chronic Hand Eczema of Patients With and Without Comorbid Atopic Dermatitis.

Introduction: Chronic hand eczema (CHE) is a highly prevalent inflammatory skin condition which is often resistant to conventional treatments. Molecular insights of CHE remain limited. Tape stripping combined with high-throughput RNA sequencing can now provide a better insight into CHE pathogenesis in a minimally invasive fashion.

Human Growth Hormone (GH) use by Athletes with Short Stature without GH Deficiency: Therapeutic Use Exemptions.

Organized sports are governed by specific rules which aim to create or preserve fair play. An unfair advantage can be obtained by the use of specific substances or methods, also referred to as doping. The World Anti-Doping Agency (WADA) leads the international doping-free sport movement and annually publishes the List of Prohibited Substances and Methods (List), that is used by most sport federations and organizations around the world.

Comparative Study of OLP and OLL: Demographic and Clinical Profile in a Reference Center in Brazil.

Objective: To compare the demographic and clinical profiles of oral lichen planus (OLP) and oral lichenoid lesions (OLL) diagnosed at a reference center in Southern Brazil from 2010 to 2019.

Methods: This retrospective study included 117 cases of suspected OLP submitted for biopsy. Investigated variables comprised sociodemographic profiles, medical history, harmful habits, clinical characteristics, and histopathological features.

European multicentre analysis of the implementation of robotic complete mesocolic excision for right-sided colon tumours.

Aim: Complete mesocolic excision (CME) is an oncologically driven technique for treating right colon cancer. While laparoscopic CME is technically demanding and has been associated with more complications, the robotic approach might reduce morbidity. The aim of this study was to assess the safety of stepwise implementation of robotic CME.

Connecting lattice and molecular vibrations to organic crystal properties.

Understanding dynamic processes in molecular crystals is becoming crucial for the development of next-generation smart crystalline materials. In this context, Zwolenik & Makal [(2025). IUCrJ, 12, https://doi.

Intraoperative rescue of a dislodged renal stent during fenestrated endovascular aortic repair for treatment of type 1A endoleak.

In the past 15 years, fenestrated-branched endovascular aortic repair (F-BEVAR) has progressively become the first-line option for management of most complex abdominal aortic aneurysms (AAAs); with increasing experience, as well as persistent technological refinements, F-BEVAR indications have been expanded to include rescue of failures after prior EVAR. Despite the feasibility and effectiveness, F-BEVAR procedures in the presence of prior infrarenal endografts may come with higher technical complexity that should be properly anticipated, and several anatomical challenges can be expected. Among these, presence of suprarenal bare stents from prior EVAR device are certainly a frequent scenario and may sometimes make target vessel cannulation more difficult because of encroachment on the target vessel origins.

Use of compound specific isotope analysis approach to monitor the aging process of Italian balsamic vinegars.

Stable isotope analysis has become a valuable tool for studying food chain processes and verifying the authenticity and geographical origin of typical products. The analysis is particularly important for those foods with geographical indications, such as Aceto Balsamico Tradizionale di Modena labelled with the protected designation of origin mark (ABTM PDO) and Aceto Balsamico di Modena with the protected geographical indication (ABM PGI). Understanding how the aging process affects the isotopic composition of specific compounds in ABTM is important for distinguishing between traditional and non-traditional products, as well as for verifying their authenticity.

Achievements, priorities and strategies in pediatric nephrology in Europe: need for unifying approaches or acceptance of differences?

Background: There is a lack of information on the current healthcare systems for children with kidney diseases across Europe. The aim of this study was to explore the different national approaches to the organization and delivery of pediatric nephrology services within Europe.

Methods: In 2020, the European society for Paediatric Nephrology (ESPN) conducted a cross-sectional survey to identify the existing pediatric nephrology healthcare systems in 48 European countries covering a population of more than 200 million children.

Retraction notice to "A deep learning approach based on graphs to detect plantation lines" [Heliyon Volume 10, Issue 11, 15 June 2024, e31730].

[This corrects the article DOI: 10.1016/j.heliyon.

Innovative payloads for ADCs in cancer treatment: moving beyond the selective delivery of chemotherapy.

Antibody-drug conjugates (ADCs) have emerged as a transformative approach in cancer therapy by enhancing tumor targeting and minimizing systemic toxicity compared to traditional chemotherapy. Initially developed with chemotherapy agents as payloads, ADCs have now incorporated alternative payloads, such as immune-stimulating agents, natural toxins, and radionuclides, to improve therapeutic efficacy and specificity. A significant advancement in ADC technology is the integration of Proteolysis Targeting Chimeras (PROTACs), which enable the precise degradation of cellular targets involved in tumorigenesis.

hvEEGNet: a novel deep learning model for high-fidelity EEG reconstruction.

Introduction: Modeling multi-channel electroencephalographic (EEG) time-series is a challenging tasks, even for the most recent deep learning approaches. Particularly, in this work, we targeted our efforts to the high-fidelity reconstruction of this type of data, as this is of key relevance for several applications such as classification, anomaly detection, automatic labeling, and brain-computer interfaces.

Methods: We analyzed the most recent works finding that high-fidelity reconstruction is seriously challenged by the complex dynamics of the EEG signals and the large inter-subject variability.