Search Results (3,520)

Despite a significant population of migrants from endemic countries and of Europeans traveling to these regions, no Belgian study and few European studies have reported on strongyloidiasis. This retrospective study, conducted between January 2012 and December 2021, aimed to compare demographic data, clinical characteristics and management appropriateness of adult patients from Hôpital Universitaire de Bruxelles-Erasme and Centre Hospitalier Universitaire Saint-Pierre who had a positive serology for Strongyloides stercoralis. Serology results were classified as weakly positive (WP) or positive (P), and the two groups were compared. Qualitative and continuous data were expressed as numbers and medians, respectively, and compared using Fisher’s exact or Wilcoxon–Mann–Whitney tests, with a p-value < 0.05 considered statistically significant. A total of 358 patients (50% females) were included, with a median age of 52 (IQR: 40–63): 225 (62.8%) had WP and 133 (37.2%) had P results. Overall, 217/358 (60.6%) of the patients had at least one comorbidity, and 52/358 (14.5%) had an immunosuppressive factor. In total, 120/358 (33.5%) were symptomatic and 160/352 (45.5%) had blood eosinophilia. Only 51/358 (14.2%) benefitted from appropriate clinical management. Severe complications occurred in 17/358 (4.7%) patients, with two deaths (0.6%). This first Belgian study about strongyloidiasis shows that, despite low rates of severe complications and mortality, significant treatment delays were observed, requiring future improvement and monitoring. Full article

Background: Polycystic ovary syndrome (PCOS) is a leading cause of anovulatory infertility and a frequent indication for in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI). Multivariable regression estimates adjusted associations, whereas association rule mining (ARM) can describe frequently co-occurring attributes; however, ARM outputs are unadjusted and may be sensitive to analytic specification. Objectives: We used ARM alongside multivariable logistic regression and internal robustness analyses to describe combinations of clinical and treatment-related variables that co-occurred with clinical pregnancy failure among women with PCOS undergoing IVF/ICSI. Methods: We retrospectively analyzed 733 deidentified patients with PCOS from the Reproductive Hospital of Guangxi. The original one-hot-encoded analytic file was linked to a supplemental clinical record file containing continuous age, BMI, infertility duration, anti-Müllerian hormone, total gonadotropin dose, fertilization method, embryo-transfer day, number of embryos transferred, and embryo score. Embryo quality was derived from D3 cleavage-stage and blastocyst morphology records. Multivariable logistic regression was used to estimate adjusted associations. ARM results were assessed using Fisher’s exact test, Benjamini–Hochberg false discovery rate (FDR) correction, 1000 bootstrap resamples, fivefold cross-validation, and threshold/cutoff sensitivity analyses. Results: In the multivariable model (n = 730), age remained associated with clinical pregnancy failure (adjusted odds ratio [aOR] = 1.04 per year, 95% CI 1.00–1.08, p = 0.031), whereas BMI was not independently associated with failure (aOR = 1.00 per kg/m², 95% CI 0.96–1.05, p = 0.860). Transfer of two embryos (aOR = 0.55, 95% CI 0.35–0.85, p = 0.008), D5 blastocyst transfer (aOR = 0.49, 95% CI 0.32–0.75, p = 0.001), and transfer of at least one high-quality embryo (aOR = 0.63, 95% CI 0.43–0.93, p = 0.020) were associated with lower odds of failure. Under the primary host-factor specification, age > 35 years + BMI ≥ 24 kg/m² + pelvic adhesion defined 48 patients, 30 of whom had clinical pregnancy failure (support = 0.07; confidence = 0.63; lift = 1.38; FDR q = 0.098). In the secondary treatment-inclusive analysis, infertility duration > 5 years + no high-quality embryo transferred defined 43 patients with 30 failures (support = 0.06; confidence = 0.70; lift = 1.54; FDR q = 0.026). Lift represents the subgroup failure proportion divided by the overall failure proportion and is not an adjusted risk ratio. The rule composition and the number of FDR-supported rules changed under alternative cutoffs and confidence thresholds. Conclusions: ARM described transparent but specification-sensitive co-occurrence profiles that complement, rather than compete with, regression. Treatment-inclusive profiles combine baseline and downstream cycle characteristics and are therefore especially exploratory. These findings require prospective multicenter validation before any clinical decision-support use. Full article

Background and Objectives: Cigarette smoking is a recognized risk factor for periodontal disease and subgingival dysbiosis; however, the impact of electronic cigarettes on the subgingival microbiome in young adults is still not sufficiently investigated. This study aimed to characterize and compare the carriage and bacterial load of 20 subgingival species among young adult cigarette smokers, e-cigarette users, and non-smokers, and to evaluate whether e-cigarette use is linked to a periodontopathogen-enriched profile similar to that of smoking. Materials and Methods: In this exploratory cross-sectional study, fifty young adults were divided into three groups: cigarette smokers (n = 18), e-cigarette users (n = 16), and non-smokers (n = 16). Subgingival specimens were examined using real-time Polymerase Chain Reaction (PCR) (Perio panel; ADD Laboral B.V., Malden, The Netherlands) for 20 bacterial species. Carriage was analyzed across groups utilizing Fisher’s exact test with Cramér’s V as the effect size, while bacterial load was assessed using the Kruskal–Wallis test accompanied by Dwass–Steel–Critchlow–Fligner post hoc comparisons (jamovi; significance threshold established at p < 0.05). Results: Red-complex pathogens were more prevalent and present in greater quantities in smokers and e-cigarette groups compared to non-smokers. Porphyromonas gingivalis prevalence was seen in smokers (94.4%), vapers (75.0%), and non-smokers (56.2%; p = 0.028), whereas Tannerella forsythia was found in 100% of smokers, 87.5% of vape users, and 68.8% of the non-smokers (p = 0.022). Aggregatibacter actinomycetemcomitans was not present in non-smokers but was identified in 37.5% of vapers and 16.7% of smokers (p = 0.018), whereas Eubacterium nodatum was significantly elevated in tobacco users (p = 0.012; Cramér’s V = 0.449). In contrast, Prevotella nigrescens was predominant among non-smokers (87.5%; p = 0.022). Conclusions: In young adults, the red-complex bacteria—Porphyromonas gingivalis, Tannerella forsythia, and Treponema denticola—were found more frequently and in larger quantities among smokers and vapers as compared to non-smokers. Full article

Background: White brined cheese represents one of the most important traditional fermented dairy products in Bulgaria. Its microbiological quality is commonly evaluated through the detection of foodborne pathogens; however, such an approach provides limited information regarding production hygiene and the natural microbial ecosystem of the product. Methods: The present study performed an integrated microbiological assessment of 100 Bulgarian white brined cow’s milk cheese samples (50 artisanal and 50 industrial) by simultaneously evaluating hygiene indicator microorganisms (Escherichia coli and coagulase-positive staphylococci), major foodborne pathogens (Listeria monocytogenes and Salmonella spp.), and the natural yeast microbiota using standardized ISO methods. Yeast species were identified by MALDI–TOF MS, and statistical analyses were performed using Fisher’s exact test and the Mann–Whitney U test. Results: Listeria monocytogenes, Salmonella spp., and coagulase-positive staphylococci were not detected in any cheese sample. Escherichia coli was detected in only two samples (2.0%), with no significant difference between artisanal and industrial cheeses (p > 0.05). In contrast, yeasts were detected in 99% of the samples, and nine yeast taxa were identified. Significant differences in yeast species distribution were observed between production systems, with Torulaspora delbrueckii predominating in artisanal cheeses and Debaryomyces hansenii in industrial products (p < 0.001). Conclusions: The results demonstrate that artisanal white brined cheese is not inherently associated with a higher microbiological risk when good manufacturing and hygienic practices are applied. More importantly, the study shows that combining foodborne pathogens, hygiene indicators, and indigenous yeast microbiota provides a substantially more comprehensive assessment of microbiological quality than pathogen detection alone, supporting an integrated concept for the evaluation of traditional fermented dairy products. Full article

In this study, the Boscovich curve of 1763 is reinterpreted as a mean-field potential for interacting particles in condensed matter. In a dense many-body system, each particle experiences an effective potential arising from the average distribution of all the others. This mean-field potential, which exhibits alternating maxima (energy barriers) and minima (coordination shells), thereby reducing the complexity of the N-body problem to an effective two-body radial problem, with the correlation distance r as the key variable. The relationship between the PMF and the radial distribution function g(r) is given by the Kirkwood equation U_B(r) = −kT ln g(r), which provides a multi-well potential in condensed matter. Furthermore, the system is described by the Fisher density functional equation for the correlation amplitudes, −2kT ∇²ψ(r) + U_B(r)ψ(r) = μψ(r) whose eigenvalues μ_i correspond to potential levels and whose eigenfunctions ψ_i are the correlation amplitudes of the coordination shell structure. Based on the multi-well potential picture, the oscillatory behavior of U_B(r) is modeled analytically by a weighted sum of Lennard-Jones potentials, modulated by sigmoid functions. The parameters—well depths, widths, and coordination distances—are assigned on the basis of known structural properties of the system, derived either from experimental data or from geometric models such as FCC or HCP lattices. The radial distribution function is then reconstructed as a linear combination of the squared eigenfunctions obtained from the Fisher equation. The resulting discrete eigenvalue spectrum provides a spectral interpretation of the shell structure of condensed matter, wherein the complexity of many-body interactions is encoded in a hierarchy of correlation modes, each associated with a specific coordination shell. Unlike classical DFT—which relies on approximate excess free-energy functionals—and Ornstein–Zernike theory—which requires closure approximations—our approach provides a direct spectral interpretation of the coordination shell structure through the eigenvalue spectrum of the Fisher equation, where the PMF acts as the effective potential and the radial distribution function is reconstructed as a combination of squared eigenfunctions. The method is validated for liquid argon and FCC lattices and establishes a historical connection with Boscovich’s curve as a statistical potential. Full article

Future low Earth orbit (LEO) communication constellations are evolving into integrated multi-mission infrastructure. Their signals of opportunity (SoP) are therefore becoming attractive for Doppler positioning. However, the conventional coverage- or rate-optimized configurations may not provide favorable Doppler geometry under realistic link-quality constraints. This paper considers this emerging requirement at the constellation-configuration design level and proposes a multi-layer Walker optimization framework for integrated communication and SoP Doppler positioning. A system-level positioning metric is developed to move beyond visibility and dilution-of-precision indicators. A link-quality-constrained multi-epoch Fisher information matrix (FIM) incorporates $C/N_0$-based link measurability and a general carrier-to-noise-density-dependent Doppler-noise formulation. In the reported simulations, $C/N_0$ controls observation admission, while all admitted Doppler observations use a fixed noise standard deviation of 0.5 m/s. An effective position-error bound is then obtained by marginalizing clock-drift and frequency-bias nuisance states. Based on a unified satellite–ground geometry, weighted service coverage, weighted best-link achievable rate, and the proposed positioning metric are jointly optimized using a constrained mixed-integer multi-objective artificial hummingbird algorithm (CMI-MOAHA). The FIM-based metric is consistent with the positioning root mean square error (RMSE) from a separately implemented nonlinear Doppler solver under matched observation and noise assumptions. With the total number of satellites fixed at 2000, the Pareto archive reveals clear trade-offs among coverage, best-link achievable rate, and positioning. When the positioning objective is included, the best obtained positioning metric decreases across all tested constellation sizes, with a maximum reduction of 77.1%. These results show that constellation-level joint optimization is warranted when LEO communication satellites also serve as SoP for Doppler positioning. Full article

Background/Objectives: Breast cancer mortality remains disproportionately high in Eastern Europe, partly due to delayed diagnosis and limited access to organized screening programs. Socioeconomic deprivation and rural residence may contribute to inequalities in breast cancer detection and disease burden at presentation. This study aimed to evaluate the association between sociodemographic disparities and mammographic tumor burden at breast cancer diagnosis within a large regional screening cohort from Eastern Romania. Methods: This retrospective study was conducted within the ONCOFEM regional breast cancer screening initiative between August 2020 and December 2023. A total of 23,886 asymptomatic women aged 50–69 years underwent screening mammography using fixed and mobile digital mammography units. Sociodemographic variables included residential environment (urban/rural) and vulnerability status. Histopathologically confirmed malignant lesions were analyzed regarding maximum mammographic tumor dimension and focality status (unifocal, multifocal, multicentric). Statistical analysis included Mann–Whitney U tests and Chi-square/Fisher exact tests, with p < 0.05 considered statistically significant. Results: The screened population included 12,652 rural women (53.0%) and 11,234 urban women (47.0%). Urban participants demonstrated significantly higher recall rates compared with rural women (7.75% vs. 4.85%, respectively; p < 0.001). Similarly, the Cancer Detection Rate (CDR) was significantly higher in the urban subgroup, reaching 7.21 cancers per 1000 screened women, compared with 4.19 cancers per 1000 screened women in the rural population (p = 0.002). The final analytic cohort included 134 patients with histopathologically confirmed breast cancer, corresponding to 138 malignant lesions. Median tumor size was 25 mm overall. Rural and vulnerable women demonstrated numerically higher proportions of tumors exceeding 20 mm; however, no statistically significant differences were observed regarding maximum tumor dimensions according to residential environment (p = 0.799) or vulnerability (p = 0.934). Multifocal and multicentric disease represented a minority of cases, without significant associations with the sociodemographic subgroup. Conclusions: Although significant urban–rural differences were identified in screening performance metrics, mammographic indicators of tumor burden demonstrated relatively similar distributions across sociodemographic subgroups. The persistently high proportion of tumors exceeding 20 mm across all groups suggests a substantial burden of relatively advanced disease at diagnosis within the Romanian population. No statistically significant disparities in mammographic tumor burden were identified across the analyzed sociodemographic subgroups; however, the present study cannot determine whether the use of mobile mammography units contributed to this observation. Full article

Background/Objectives: Microplastics (MPs) are emerging environmental contaminants with potential implications for human health. Experimental studies suggest that MPs accumulate in the liver and promote inflammatory and fibrotic changes, but evidence from human tissues remains limited. This study investigated the presence of suspected MP-like particles in post-mortem human liver tissue and their associations with clinical, biochemical, hematological and histopathological parameters. Methods: Post-mortem liver tissue samples were collected from 55 adults. Suspected MP-like particles were extracted using hydrogen peroxide digestion, filtration, Nile Red staining and image-based quantification. Histopathological evaluation assessed inflammation, fibrosis, necrosis and fatty liver degeneration. Polarized light microscopy was used as a supportive morphological assessment method. Statistical analyses included Mann–Whitney U tests, Fisher’s exact tests and Spearman correlation analysis. Results: Detectable hepatic suspected MP-like particles were identified in 9 of 55 individuals (16.4%). Individuals with detectable suspected MP-like particles had significantly lower alanine aminotransferase (ALT) levels and leukocyte counts. The hepatic suspected MP-like particle burden showed weak positive correlation with liver fibrosis and inflammation and weak inverse correlation with ALT levels and leukocyte count. Fisher’s exact test showed that liver fibrosis and liver inflammation were significantly associated with detectable hepatic suspected MP-like particles, with higher unadjusted odds observed in the corresponding 2 × 2 contingency tables. No statistically significant associations were found for liver necrosis or fatty liver degeneration. Conclusions: Detectable suspected MP-like particles were identified in post-mortem human liver tissues and were more closely associated with fibrotic and inflammatory histopathological changes than with routine biochemical abnormalities. Larger studies using standardized detection methods are needed to confirm these results. Full article

Background: Human papillomavirus (HPV)-attributable cancers remain largely preventable but continue to generate increasing treatment costs where vaccination and screening coverage are limited. We estimated direct inpatient pharmaceutical reimbursement attributable to HPV-related cancers in Bulgaria and examined the drivers of expenditure growth. Methods: National Health Insurance Fund reimbursement data (2021–2025) were analysed for antineoplastic medicines used to treat eight HPV-associated cancer sites. Site-specific population-attributable fractions (PAFs) were applied to estimate HPV-attributable expenditure. Uncertainty in PAFs was quantified using 10,000 Monte Carlo simulations and discrete attribution scenarios. Expenditure growth was decomposed into price, volume, and net product-entry/exit effects using Fisher indices. Expenditure was additionally expressed in constant 2021 euros using the Harmonised Index of Consumer Prices. Results: Estimated HPV-attributable inpatient pharmaceutical reimbursement totalled EUR 54.2 million (probabilistic median; 95% uncertainty interval: EUR 53.3–55.0 million). Cervical cancer accounted for 81.8% of the total. Results varied by less than ±6% across attribution scenarios and remained EUR 44.6 million when head-and-neck cancers were excluded. Annual expenditure increased from EUR 3.67 million in 2021 to EUR 19.89 million in 2025, representing a 5.4-fold nominal and 4.2-fold inflation-adjusted increase. Growth was concentrated in cervical cancer and was driven primarily by the introduction of new therapies rather than higher prices or greater use of existing medicines. Net product entry explained 88.8% of total log growth, while reimbursement prices for continuing products declined by approximately 31%. Pembrolizumab, first reimbursed for cervical cancer in 2023, accounted for EUR 16.03 million of cervical cancer expenditure in 2025. Conclusions: These ecological estimates indicate a rapid increase in HPV-attributable inpatient pharmaceutical reimbursement in Bulgaria, largely driven by cervical cancer and the introduction of immunotherapy. The findings have implications for budget forecasting, procurement planning, and economic evaluation of HPV prevention strategies. Full article

Background: Identification of tumor-specific cell surface targets is a critical step in the development of precision oncology therapeutics, including radioligand- and antibody-based approaches. However, existing strategies often rely on single-layer analyses and lack systematic integration of proteomic, genomic, and clinical metadata. Methods: We developed a multi-layered proteogenomic filtering framework integrating quantitative proteomics from colorectal cancer (CRC) cohorts with curated metadata on protein localization, normal tissue expression, and druggability. Eleven complementary filtering strategies were applied, followed by manual curation for extracellular accessibility and composite scoring based on protein rank, localization, and clinical relevance. Results: Application of the pipeline to metastatic CRC (mCRC) identified multiple high-confidence candidate targets, including GPRC5A, SLC2A1, CD47, DPEP1 and IFITM1. The average pairwise overlap between filtering strategies was low (0.11), indicating limited redundancy and complementary target identification across approaches. Importantly, candidates detected by multiple strategies were significantly enriched for established biomarkers (FAP, CEACAM5, ITGAV, ITGB4), which were exclusively found among multi-strategy candidates (10.3% vs. 0%; Fisher’s exact test, p = 0.0064), supporting overlap-based prioritization as a marker of biological and translational relevance. Composite scoring further prioritized GPRC5A as a leading candidate. Additional validation layers supported tumor-enriched expression, plasma membrane localization, and relevance across multiple cancer indications. Conclusions: This study presents a scalable framework for prioritization of cell surface therapeutic targets, using mCRC as proof-of-concept indication. By integrating multiple data layers and incorporating translational criteria early in the discovery process, this approach may facilitate more efficient identification of targets for downstream development, including antibody- and radioligand-based therapies. Full article

Accurate remaining useful life (RUL) estimation underpins safe operation and cost-effective maintenance of aerospace propulsion systems. We propose a Hybrid Quantum Recurrent Neural Network (HQRNN) for jet-engine RUL forecasting on the NASA C-MAPSS FD001 benchmark. The HQRNN stacks Quantum Long Short-Term Memory (QLSTM) layers, replacing each LSTM gate’s linear transformation with a Quantum Depth-Infused (QDI) circuit; this is followed by classical dense layers. Quantum and hybrid quantum–classical methods for turbofan RUL prediction are still at an early stage. Our study is therefore among the first to evaluate a gate-based QLSTM hybrid at matched parameter counts, comparing it against classical and joint state-of-the-art models on this benchmark and complementing that comparison with a circuit-level analysis of the quantum layer. Encoding the gate signals in a quantum feature space is intended to help the network represent high-frequency degradation patterns with fewer trainable parameters than a matched classical counterpart. The HQRNN improves mean RMSE and mean MAE by about $5\%$ over matched-parameter stacked-LSTM RNNs across 10 random seeds, and attains a test RMSE of $15.46$, outperforming Random Forest, CNN, and MLP baselines. ZX calculus, Fisher information, and Fourier analyses indicate that the QDI circuit is compact, trainable, and expressive. Advanced joint deep-learning models still outperform the stand-alone HQRNN, indicating that quantum-enhanced recurrent modules are best deployed as components within composite prognostics pipelines rather than stand-alone predictors. Full article

Background/Objectives: Closed reduction and percutaneous pinning is the standard surgical treatment for displaced pediatric supracondylar humerus fractures. Although crossed-pin fixation provides excellent biomechanical stability, medial pin insertion remains associated with the risk of iatrogenic ulnar nerve injury. The modified medial para-olecranon technique has been introduced as an alternative medial wire insertion strategy while preserving the principles of crossed-pin fixation. This study compared its clinical performance with conventional crossed pinning. Methods: A retrospective comparative cohort study was conducted at a tertiary referral trauma center between January 2017 and December 2024. Seventy children younger than 14 years with Gartland type II–IV supracondylar humerus fractures met the inclusion criteria. All patients treated with the modified medial para-olecranon technique (n = 35) were included. A comparison cohort of 35 patients treated with conventional crossed pinning was selected from 68 eligible conventionally treated patients by computer-generated random sampling stratified by Gartland type (frequency matching), after application of identical eligibility criteria. The primary outcome was functional outcome assessed using the Flynn criteria. Secondary outcomes included operative time, radiographic alignment, fracture union, and postoperative complications. Results: Baseline demographic and fracture characteristics were comparable between groups. Mean age was 6.7 ± 2.8 years in the modified medial para-olecranon group and 6.9 ± 2.6 years in the conventional crossed-pin group. The modified medial para-olecranon group had a lower mean Flynn score (6.80 ± 3.31 vs. 10.74 ± 3.70; mean difference, −3.94; 95% CI, −5.61 to −2.27; p < 0.001) and a higher proportion of excellent Flynn outcomes (77.1% vs. 28.6%). Operative time was shorter in the modified medial para-olecranon group (47.49 ± 7.50 vs. 66.00 ± 8.19 min; mean difference, −18.51 min; 95% CI, −22.26 to −14.76; p < 0.001). Fracture union occurred at a comparable time in both groups (27.71 ± 3.94 vs. 28.34 ± 4.12 days; mean difference, −0.63 days; 95% CI, −2.55 to 1.29), and postoperative Baumann angles were similar. No postoperative iatrogenic ulnar nerve injuries occurred in the modified medial para-olecranon group, whereas two occurred in the conventional crossed-pin group; both were transient sensory paraesthesia that resolved without exploration within six months. Overall complications occurred in 1 patient (2.9%) and 7 patients (20.0%), respectively (odds ratio, 0.17; 95% CI, 0.03 to 1.02; Fisher exact p = 0.055). Conclusions: In this retrospective comparative cohort, the modified medial para-olecranon technique was associated with favorable functional outcomes, shorter operative time, and fewer observed postoperative ulnar nerve injuries, although the difference in complications did not reach statistical significance, while maintaining comparable radiographic alignment and fracture healing. Because treatment was not randomized and potential confounders could not be adjusted for, these between-group differences should be interpreted as associations rather than as evidence of a causal treatment effect. Further prospective multicenter studies and dedicated anatomical investigations are required before broader recommendations can be made. Full article

Identifying parameters of dynamical systems from sparse measurements is a core task in structural health monitoring and vibration engineering. For second-order oscillators, standard physics-informed neural networks (PINNs) struggle because different parameter values can produce nearly identical displacement records, making the inverse problem ill-posed. We propose the derivative-observation-augmented PINN (D-PINN), which incorporates velocity measurements into the training loss to resolve this degeneracy. Three theoretical results support the method: a Sobolev-type inequality proves that constraining the velocity error automatically bounds the displacement error; a Fisher information analysis shows that velocity observations increase the information available for parameter estimation; and a residual-based estimate bounds the parameter error in terms of the solution accuracy and its derivatives. Experiments on linear, forced near-resonance, and Duffing oscillators (10 random seeds, 20,000 epochs) show that D-PINN reduces the damping coefficient relative error from 40% to 11.7% without any parameter prior. With a weak prior (${\mu }_0=3.2$, a 20% deviation from the true value 4.0), the error drops further to 2.1%, a 19-fold improvement over standard PINN. We also analyze sensitivity to prior quality, derivative observation source, and measurement noise, and identify scenarios where derivative observations do not improve displacement fitting. Full article

Background/Objectives: Early identification of breast cancer patients unlikely to benefit from neoadjuvant chemotherapy (NAC) remains a pressing clinical problem because ineffective therapy delays definitive surgery and exposes patients to unnecessary toxicity. Quantitative ultrasound (QUS) and shear wave elastography (SWE) probe complementary tissue properties—scatterer microstructure and mechanical stiffness—that may change before macroscopic tumor shrinkage. This study aimed to evaluate whether multi-parametric ultrasound (mpUS) radiomic kinetics, analyzed with a machine learning ensemble and interpreted with SHAP, could predict pathologic response to NAC. Methods: A prospective observational cohort enrolled 135 women with biopsy-proven stage II–III breast cancer treated with NAC within the multidisciplinary breast pathway shared between Vasile Goldis Western University of Arad and Victor Babes University of Medicine and Pharmacy Timisoara (Pius Brinzeu County Emergency Hospital). All patients underwent standardized QUS and SWE acquisitions at baseline, week 1, and week 3. Response was defined pathologically at surgery as residual cancer burden (RCB) class 0/I versus II/III. Group comparisons used Welch’s t-test, Mann–Whitney U, chi-square, and Fisher’s exact tests; correlations used Spearman’s rho. A stacked machine learning ensemble (four base learners—XGBoost, random forest, support vector machine, and L2-penalized logistic regression—combined by a separate second-stage logistic meta-learner) was trained with nested 10-fold cross-validation, bootstrap stability assessment, SHAP-based interpretability, and decision curve analysis. Results: Sixty patients (44.4%) were responders and 75 (55.6%) were non-responders. Responders showed greater week 3 increases in mid-band fit (3.4 ± 0.9 vs. 1.2 ± 0.8 dB, p < 0.001), entropy (0.7 ± 0.2 vs. 0.2 ± 0.2, p < 0.001), and more pronounced SWE mean stiffness reduction (−44.1 ± 9.7 vs. −12.1 ± 8.6 kPa, p < 0.001). The stacked ensemble integrating clinical, QUS, and SWE kinetic features reached an AUC of 0.93 (95% CI 0.88–0.97) versus 0.71 for the clinical-only model (all reported performance figures represent internal cross-validation only). SHAP analysis identified Δ MBF and Δ entropy at week 3 as the dominant features, with high bootstrap stability. Conclusions: Multi-parametric ultrasound radiomic kinetics integrated through a machine learning ensemble may provide an interpretable early-response biomarker for NAC in breast cancer, pending external validation. Full article

Background/Objectives: Resveratrol (RSV) is a phenolic compound that possesses antioxidant properties and whose biological application has been limited by its physicochemical properties, including its low solubility and stability. Methods: In this study, polymeric nanoparticles (NPs) were developed using polylactic acid (PLA) to encapsulate resveratrol and improve its bioavailability, using a factorial design to optimize the formulation and evaluate its cytotoxicity against breast cancer cells. Results: The optimized system presented an average size of 389.2 nm, a PDI of 0.127, a negative z-potential, and an encapsulation efficiency of 76.02%. The statistical analysis indicated that the PLA: RSV ratio was the main determinant of encapsulation percentage and particle size (p < 0.05). On the other hand, with the hemolysis test, blood compatibility was evidenced at all concentrations evaluated, while in the cell assays, the PLA-RSV nanoparticles significantly decreased the cellular viability of MCF-7 and MDA-MB 231 cells compared to untreated cells, and in combination with NP PLA-RSV and doxorubicin, greater cytotoxicity was produced in MCF-7 cells compared to nanoparticle-only treatments (p < 0.05, ANOVA, via followed by a Fisher test). Conclusions: In addition, distinct cytotoxic effects are observed, associated with their tumor phenotype. Taken together, these results suggest that PLA-RSV NPs are a useful system for future studies on redox status and other biological processes important in cancer. Full article