Search Results (12,395)

Advances in artificial intelligence (AI), soft robotics, and miniaturized imaging technologies have accelerated the development of endorobotic platforms that aim to enhance detection accuracy and improve patient experience. In this narrative review, we synthesize evidence on AI-assisted detection and characterization systems (CADe/CADx), robotic locomotion mechanisms, adhesion strategies, imaging modalities, and material and power constraints relating to next-generation CRC screening technologies. Reported performance metrics are interpreted within their original methodological contexts, acknowledging the heterogeneity of datasets, limited representation of diverse populations, underreporting of negative findings, and scarcity of large, real-world comparative trials. We introduce a conceptual translational framework that links engineering design principles with validation needs across in silico, in vitro, preclinical, and clinical stages, and we outline safety considerations, workflow integration challenges, and sterility requirements that influence real-world deployability. Regulatory alignment is discussed using the U.S. FDA Total Product Life Cycle (TPLC) and Good Machine Learning Practice (GMLP) frameworks to highlight expectations for data quality, model robustness, device–software interoperability, and post-market monitoring. Collectively, the evidence demonstrates promising technological innovation but also highlights substantial gaps that must be addressed before AI-enabled endorobotic systems can be safely and effectively integrated into routine CRC screening. Continued interdisciplinary work, supported by rigorous validation and transparent reporting, will be essential to advance these technologies toward meaningful clinical impact. Full article

Background: Age-related macular degeneration (AMD) is a major cause of vision loss, yet publicly available Optical Coherence Tomography (OCT) datasets lack demographic diversity, particularly from South Asian populations. Existing datasets largely represent Western cohorts, limiting AI generalizability. Moreover, raw OCT volumes contain redundant spatial information and speckle noise, hindering efficient analysis. Methods: We introduce BanglaOCT2025, a retrospective dataset collected from the National Institute of Ophthalmology and Hospital (NIOH), Bangladesh, using Nidek RS-330 Duo 2 and RS-3000 Advance systems. We propose a novel preprocessing pipeline comprising two stages: (1) A constraint-based centroid minimization algorithm automatically localizes the foveal center and extracts a fixed 33-slice macular sub-volume, robust to retinal tilt and acquisition variability; and (2) A self-supervised volumetric denoising module based on a Flip-Flop Swin Transformer (FFSwin) backbone suppresses speckle noise without requiring paired clean reference data. Results: The dataset comprises 1585 OCT volumes (202,880 B-scans), including 857 expert-annotated cases (54 DryAMD, 61 WetAMD, and 742 NonAMD). Denoising quality was evaluated using reference-free volumetric metrics, paired statistical analysis, and blinded clinical review by a retinal specialist, confirming preservation of pathological biomarkers and absence of hallucination. Under a controlled paired evaluation using the same classifier with frozen weights, downstream AMD classification accuracy improved from 69.08% to 99.88%, interpreted as an upper-bound estimate of diagnostic signal recoverability rather than independent generalization. Conclusions: BanglaOCT2025 is the first clinically validated OCT dataset representing the Bengali population and establishes a reproducible fovea-centric volumetric preprocessing and restoration framework for AMD analysis, with future validation across independent and multi-centre test cohorts. Full article

Primula beesiana is a perennial herbaceous plant predominantly distributed in the alpine wetland regions of Yunnan Province, China. This species faces dual threats from habitat fragmentation and climate change, but research into its genetic background is severely lacking. Consequently, systematic analysis of the genetic diversity and population structure of Primula beesiana is crucial in formulating scientific conservation strategies. In this study, 86 individuals from six natural populations in Lijiang City, Yunnan Province, were collected and genotyped using double-digest restriction site-associated DNA sequencing (ddRAD-seq). A total of 1537 high-quality SNP loci were identified and used for genetic diversity, principal component (PCA), population structure (STRUCTURE), and gene flow analyses. Analysis of base substitutions revealed twelve mutation types, with transversions accounting for 67.9% and a transition/transversion ratio (Ti/Tv) of 0.47, potentially indicating strong environmental selection pressure. Although high overall genetic diversity was observed, significant genetic differentiation may exist among populations (Fst = 0.0056-0.0407), with heterozygote deficiency detected across all populations. Genetic structure analyses consistently grouped the six populations into four distinct clusters. Populations MDJ, WH, and HS each formed independent clusters, exhibiting clear genetic isolation, whereas XHC2, XHC1, and NX clustered together, showing high genetic similarity and frequent gene flow. Mantel tests demonstrated a significant positive correlation between genetic and geographical distances (r = 0.854, p < 0.01), supporting an isolation-by-distance model. Gene flow estimates varied considerably among populations (5.90-44.69) and decreased with increasing geographical distance. This study provides the first genomic-level evidence of significant genetic differentiation and isolation based on distance in Primula beesiana populations, offering crucial scientific support in identifying evolutionarily significant units and developing zoned conservation management strategies for this species. Full article

Digital mental health resources have expanded rapidly in the wake of the COVID-19 pandemic, offering new opportunities to improve access to mental healthcare through technologies such as AI chatbots, mobile apps, and online platforms. Despite this growth, significant challenges persist, including low user retention, limited digital literacy, unclear privacy regulations, and insufficient evidence of clinical effectiveness and safety. AI chatbots, which act as virtual therapists or companions, provide counseling and personalized support, but raise concerns about user dependence, emotional outcomes, privacy, ethical risks, and bias. User experiences are mixed: while some report enhanced social health and reduced loneliness, others question the safety, crisis response, and overall reliability of these tools, particularly in unregulated settings. Vulnerable and underserved populations may face heightened risks, highlighting the need for engagement with individuals with lived experience to define safe and supportive interactions. This review critically examines the empirical and grey literature on AI chatbot use in mental healthcare, evaluating their benefits and limitations in terms of access, user engagement, risk management, and clinical integration. Key findings indicate that AI chatbots can complement traditional care and bridge service gaps. However, current evidence is constrained by short-term studies and a lack of diverse, long-term outcome data. The review underscores the importance of transparent operations, ethical governance, and hybrid care models combining technological and human oversight. Recommendations include stakeholder-driven deployment approaches, rigorous evaluation standards, and ongoing real-world validation to ensure equitable, safe, and effective use of AI chatbots in mental healthcare. Full article

Vitellaria paradoxa subsp. paradoxa C.F.Gaertn., is one of the most important components of sub-Saharan agroforestry systems, providing to rural communities, especially women, with socio- economic, environmental, and nutritional benefits. Despite its importance, the species is threatened and remains semi-domesticated. To better preserve and improve this resource, the genetic diversity and structure of 88 mother trees originated from Senegal and Burkina Faso were studied by analysing 17 phenotypic traits and 3196 SNP markers. The results revealed similar level of observed heterozygosity (Ho) between the Senegalese and Burkinabe populations (Ho = 0.16), whereas the average number of alleles per population (Na) and the expected heterozygosity (He) ranged from 0.33 to 0.34 and 0.38 to 0.39, respectively, indicating moderate to low genetic diversity. Furthermore, the polymorphic information content ranged from 0.15 for Senegal to 0.25 for Burkina Faso. Both ADMIXTURE and cluster analysis delineated our collection into two groups depending on the origin. The AMOVA showed that the highest fraction of variation was within individual, indicating a very low genetic differentiation (Fst = 0.0006) between population. At the phenotypic level, the G2 cluster representing the Senegalese genepool recorded the highest performance in terms of nut and kernel attributes, cariten and unsaponifiable matters contents, while higher crude fat, Diglyceride, Triglyceride, and Triacylglycerol Mono Stearoyl Olein Stearin contents were observed in the Burkina Faso collection (G1). The present findings on the species’ genetic diversity and genetic structure constitute a good start to strengthen the species tree improvement and conservation programs. Full article

When analyzing the long-term viability of small, declining populations, it is essential to recognize that inbreeding and the erosion of genetic diversity are primarily driven by the effective population size, which is often a fraction of the total census count. The globally endangered Lear’s macaw (Anodorhynchus leari) is a restricted-range species endemic to the Caatinga ecoregion in NE Brazil. This species was only known in captivity due to wildlife illegal trade, until 1978, when a small population close to extinction was discovered in the wild, estimated at ca. 60 individuals in 1983. Conservation efforts have allowed for population recovery in recent decades, reaching a population of ca. 2273 individuals in 2022. Given these drastic population changes, a genetic assessment is important to empower conservation strategies with knowledge about the level of genetic variability, population genetic structure, inbreeding levels, and demographic history. We used a set of eight species-specific microsatellites to provide the first genetic assessment of the wild population of this species by genotyping non-invasive samples (molted feathers) collected in the known breeding and roosting sites of the species. Our results revealed a low effective population size (N_e = 49–80), which represents the main conservation concern. We also observed evidence of past bottlenecks. However, moderate levels of genetic diversity, no evidence of inbreeding, and a wide connectivity across the study area confirm a single population and set the ground for the potential natural recovery of this species and the recolonization of breeding sites across its former range. Full article

Background/Objectives: Measuring dietary intake through self-reported questionnaires can be inaccurate and influenced by sex, eating behavior, and the environment. Here, we compare self-report dietary intake questionnaire responses to objectively measured ad libitum dietary intake in a large, diverse population, and assess differences by sex and food-group composition. Methods: In our inpatient study, from 1999 to 2023, (n = 279) participants completed three different questionnaires assessing different aspects of food intake. Each questionnaire contained the same 77 food items belonging to one of six groups. Groups were either high-fat (HF) or low-fat (LF), then high complex carbohydrate (HCC), high protein (HP), or high simple sugar (HSS). Intake was measured based on the average percent group (PctGrp) intake over three days of ad libitum intake. General linear models, adjusted for relevant covariates and a PctGrp by sex interaction, assessed the relationship between PctGrp intake and questionnaire scores. Results: We found a weak positive correlation between PctGrp intake and food rating (all r ≤ 0.25). There was an interaction between LF/HP and LF/HCC with sex (significant slopes in males only, p = 0.0078, p ≤ 0.0001, respectively). Conclusions: This large study demonstrated little association between self-report dietary questionnaires and intake, especially in females with regards to low-fat foods. Full article

Multimodal multiobjective optimization problems (MMOPs) are widely encountered in real-world applications. While numerous evolutionary algorithms have been developed to locate equivalent Pareto-optimal solutions, existing Multimodal Multiobjective Evolutionary Algorithms (MMOEAs) often struggle to handle large-scale decision variables and sparse Pareto sets due to the curse of dimensionality and unknown sparsity. To address these challenges, this paper proposes a novel approach named MASR-MMEA, which stands for Large-scale Sparse Multimodal Multiobjective Optimization via Multi-stage Search and Reinforcement Learning (RL)-assisted Environmental Selection. Specifically, to enhance search efficiency, a multi-stage framework is established incorporating three key innovations. First, a dual-strategy genetic operator based on improved hybrid encoding is designed, employing sparse-sensing dynamic redistribution for binary vectors and a sparse fuzzy decision framework for real vectors. Second, an affinity-based elite strategy utilizing Mahalanobis distance is introduced to pair real vectors with compatible binary vectors, increasing the probability of generating superior offspring. Finally, an adaptive sparse environmental selection strategy assisted by Multilayer Perceptron (MLP) reinforcement learning is developed. By utilizing the MLP-generated Guiding Vector (GDV) to direct the evolutionary search toward efficient regions and employing an iteration-based adaptive mechanism to regulate genetic operators, this strategy accelerates convergence. Furthermore, it dynamically quantifies population-level sparsity and adjusts selection pressure through a modified crowding distance mechanism to filter structural redundancy, thereby effectively balancing convergence and multimodal diversity. Comparative studies against six state-of-the-art methods demonstrate that MASR-MMEA significantly outperforms existing approaches in terms of both solution quality and convergence speed on large-scale sparse MMOPs. Full article

Background/Objectives: In recent years, improvements and innovative treatments in pediatric cancer have significantly increased survival rates, but challenges in both cognitive and psychosocial development in children remain significant. This review applies a comprehensive framework to evaluate psychosocial interventions in pediatric populations, offering novel insights into intervention strategies and their effectiveness across diverse contexts. Methods: A systematic search was conducted in the PubMed, Scopus, PsycINFO, and Web of Science databases for the period 2000–2024. Controlled studies, systematic reviews, and qualitative studies examining psychosocial interventions for children and adolescents with cancer or survivors were included. Quality assessment was performed using the RoB2 tool, and data were analyzed using narrative synthesis by age group and type of intervention. Results: Studies have shown that developmentally targeted interventions, such as therapeutic play, cognitive–behavioral therapy, and school reintegration programs, improve emotional regulation, cognitive functioning, and social adjustment in children with cancer. However, the heterogeneity of the samples and the variety of measurements limit the generalizability of the results. Conclusions: Integrating a developmental perspective into the design of psychosocial interventions can enhance their effectiveness and sustainability in pediatric oncology. Future research should focus on long-term, culturally sensitive programs and their implementation in clinical practice. Full article

The polymorphism of the bovine β-casein gene (CSN2) is of increasing interest due to its relevance for A2 milk production. This study genotyped 2773 Holstein-Friesian cows for five CSN2 alleles (A1, A2, A3, B, I) using both conventional DNA-based PCR and a newly evaluated direct PCR protocol. Eleven genotypes were detected, with A2/A2 (33.9%) and A1/A2 (30.3%) being the most common, resulting in an A2 allele frequency of 59.0%. Genetic diversity indices indicated moderate polymorphism and a significant deviation from Hardy–Weinberg equilibrium, consistent with ongoing selection for the A2 allele. Associations between CSN2 genotype and milk traits (305-day milk, fat, and protein yield; fat% and protein%) were evaluated using linear mixed-effects models including lactation number, age at calving, and calving year as covariates, and cow ID as a random intercept. Several genotype effects reached statistical significance (p < 0.05); however, all effect sizes were very small (partial η² < 0.01), indicating that any influence of CSN2 on production traits is negligible within this population and management context. These findings suggest that A2-oriented selection is unlikely to compromise productivity. The direct PCR genotyping method achieved 96–100% success and enabled substantially faster and more cost-efficient processing (approximately 80–90% reduction in reagent costs), providing a rapid and scalable approach for large herds. Full article

Background/Objectives: There are multiple decision nodes, during and after subtotal colectomy for ulcerative colitis (UC), regarding the management of the rectal stump. Intra-operatively, the surgeon must decide on the closure technique and positioning of the retained stump, while post-operatively, clinicians often face the challenge of managing diversion proctitis, as well as determining an appropriate endoscopic surveillance strategy, given the increased risk of cancer. This narrative review aims to summarise the evidence relating to these key decision points in rectal stump management. Methods: A narrative review of the literature was performed. Relevant studies were identified through a search of Ovid Medline and Embase. Inclusion criteria were adult population and diagnosis of UC. Cohort studies, review articles, and guidelines were eligible for inclusion. The references were grouped according to the subject of interest and reported accordingly. Results: Intra-peritoneal closure has been shown to have higher pelvic sepsis rates (5–25%), whereas subcutaneous placement results in higher rates of wound infections (up to 15%). A mucous fistula has been shown to have the lowest overall complication rate. Microscopic findings compatible with diversion proctitis develop in most patients, with incidence ranging from 71.4% to 100%. However, only a minority of these patients (30–40%) develop symptoms. Suggested treatments for diversion proctitis include topical mesalamine, corticosteroids, or short-chain fatty acids. The overall risk of rectal stump neoplasia in patients with UC after subtotal colectomy is as low as 0.7%, with prior colorectal neoplasia being a major risk factor. No universal standardised guidance exists regarding endoscopic surveillance in this patient population. Conclusions: This narrative review has appraised the latest evidence on three crucial stages of rectal stump management in UC. There is still uncertainty about the optimal surgical management of the stump, with different complication profiles. Medical management of diversion proctitis remains a major unmet need, and there are no randomised trials addressing this issue. There are no universally accepted guidelines on endoscopic surveillance of the rectal stump. Full article

Pesticide use in agriculture can have negative collateral effects on the environment. In this study, two groups of treatments (G1 and G2) based on active substances (ASs) with different mobility were evaluated in order to determine pesticide residues in the soil and their impact on soil microbial populations in two vineyards located in two Denominations of Origin (D.O.). Soil samples were collected in July, October, and the following March over two consecutive years. Pesticide residues were analyzed by liquid chromatography–tandem mass spectrometry (LC-MS/MS) after QuEChERS extraction. Microbial genera were identified by the amplification of the fungal ITS regions with the universal primers ITS86F and ITS4R, and the bacterial 16S rRNA gene (V4 region) with primers 515F and 806R. Although G1 consistently showed higher residues, primarily attributable to azoxystrobin, no significant differences were observed between the two pesticide groups in the total pesticide residues or diversity of microbial communities. The factors D.O., campaign, and sampling month influenced the concentration of residues. Several ASs exhibited different dissipation dynamics depending on the D.O. Azoxystrobin and metrafenone were the most persistent in soil. The LEfSe analysis associated four beneficial fungal genera with the G2 group. The judicious selection of ASs can help to minimize the pesticide residues in soil and their harmful effects on beneficial genera. Full article

Background: The term immigrant health paradox describes how immigrants often have better health outcomes than their American-born counterparts. While existing literature treats this phenomenon as broadly generalizable, emerging research indicates that its expression varies across cultural and migration contexts. Understanding how the immigrant health paradox may appear across specific ethnic groups requires research that maps variation rather than assumes uniformity. Objectives: This study seeks to describe patterns, explore variation by nativity, and identify factors associated with well-being among the Vietnamese population in the United States (US). By focusing on descriptive trends and contextual influences, the study aims to generate new insights into how the paradox may manifest—or diverge—in the Vietnamese context. Methods: We conducted an online survey asking participants about their depressive disorders, physical and mental health status, demographics, socioeconomic status, social networks, and experiences with daily discrimination. Descriptive statistics were used to describe the study sample. Linear regression and ordinal logistic regression were performed to explore the relationships. Results: In this exploratory analysis, we did not observe indications of the Vietnamese immigrant health paradox. Material factors, especially perceptions of financial needs, as well as psychological factors, were somewhat associated with how Vietnamese people living in the US assess their health. Conclusions: The absence of the Vietnamese immigrant health paradox in the US underscores the need for nuanced health models that reflect diversity within immigrant groups. Their experiences reveal how migration histories, structural barriers, and racialization shape health outcomes in ways that differ from expectations. Full article

Rhizoctonia solani anastomosis group (AG)-2-2IIIB and AG-4HGI are the main pathogens causing sugar beet seedling damping-off and crown and root rot disease. In this study, 1232 loci of simple sequence repeats (SSRs) were obtained via transcriptome sequencing, with 592 from AG-2-2IIIB and 640 from AG-4HGI. Fourteen and twenty loci of SSRs were selected for studying the genetic structure of the AG-2-2IIIB and AG-4HGI populations, respectively. A population of 134 strains of AG-2-2IIIB and 145 strains of AG-4HGI, sampled from three geographic regions in China, indicated that both AG-2-2IIIB and AG-4HGI had a high level of genetic diversity, and that the selected SSR markers could reliably capture the genetic variation. Genetic analysis indicated that the individual strains of AG-2-2IIIB and AG-4HGI randomly mated within their respective population, and that a considerable degree of inbreeding was present among the populations. High to moderate gene flow and low to moderate population subdivision were detected among the populations of AG-2-2IIIB and AG-4HGI, which indicated that weak differentiation existed in these two subgroups. In addition, a founder effect (genetic drift) or a bottleneck effect was inferred to have occurred in the AG-4HGI population. This study provides the first analysis of the population genetic structure of AG-2-2IIIB and AG-4HGI associated with sugar beet seedling damping-off and crown and root rot disease, and the present results offer useful guidance for developing effective integrated disease management. Full article

Objective: Mental health (MH) comorbidity is elevated in individuals who identify as gender-diverse (GD) and in individuals with an eating disorder (ED). GD individuals with an ED may have significantly higher MH comorbidity than individuals with just one of these conditions. Gender Minority Stress Theory suggests that experience of stressful events associated with gender minority status may increase risk of developing MH difficulties and may explain the elevated risk of ED diagnosis in GD populations. Method: This is a cross-sectional analysis of survey data. Using data from a sample of 334,957 American university and college students, we compared MH comorbidities of 1885 GD individuals with an ED to demographically matched samples of non-GD individuals with an ED and GD individuals with no ED diagnosis. Results: Even following stringent demographic matching, GD participants with an ED had significantly more comorbid MH diagnoses (M = 4.23, SD = 2.23) than non-GD individuals with an ED (M = 2.86, SD = 1.98). Similarly, GD participants with an ED had significantly higher MH comorbidity than demographically matched GD individuals without an ED (M = 1.96, SD = 1.84). In GD individuals, ED diagnosis was associated with increased odds of experiencing minority stress events (OR: 2.19 95% CI [1.91–2.51]) and associated distress (OR: 2.17 95% CI [1.89–2.50]). Conclusions: We find that GD individuals with an ED report significantly elevated MH comorbidity, including serious MH disorders. Prompt intervention and proactive screening have an important role to play in supporting young adults in this vulnerable population. Full article