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Cancer is a highly heterogeneous and dynamic disease whose progression, metastasis, therapeutic resistance, and immune escape are strongly regulated by the tumor microenvironment (TME). However, conventional two-dimensional (2D) cell culture systems and animal models often fail to recapitulate the structural organization, multicellular interactions, biochemical gradients, and mechanical properties of native tumors, thereby limiting the translational efficiency of preclinical cancer research and drug development. In recent years, in vitro three-dimensional (3D) biomimetic tumor models-including tumor spheroids, tumor organoids, and tumor-on-a-chip systems—have emerged as powerful platforms for reconstructing physiologically relevant tumor microenvironments and investigating complex tumor behaviors.In this review, we systematically summarize the construction principles, biological characteristics, advantages, and limitations of major 3D biomimetic tumor models. We further discuss their recent applications in drug screening, precision medicine, tumor heterogeneity research, cancer stem cell investigation, metastasis, therapeutic resistance, and immunotherapy evaluation. Particular emphasis is placed on the comparative advantages of different 3D systems in modeling dynamic tumor–microenvironment interactions and supporting translational oncology research. Additionally, we will discuss the current problems of vascularisation, extracellular matrix biomimetics, experimental reproducibility, standardisation, and large-scale clinical translation. Finally, we present some new directions for future work, including three-dimensional bioprinting, multi-omics technology, artificial intelligence, and multi-organ-on-a-chip platforms, which may further improve the physiological relevance and predictive power of next-generation tumor models.In short, this review has listed the current progress of 3D biomimetic tumour modelling and discussed some prospects for its use in mechanistic studies of cancer, drug discovery, etc.

Objective: This study investigated the utility of the second version of the Children’s Depression Inventory (CDI-2) as a screening tool to identify children and adolescents aged 8-21 years suffering from depressive symptoms. Method: Data were collected by combining questionnaire data from multiple clinical and control subsamples in which the CDI-2 child and parent version were administered to clinically depressed children (n = 111), children with other psychiatric disorders (n = 74) and control children (n = 2246) as well as their parents (respectively n = 104, n = 112, n = 2130). Results: Results showed that the CDI-2 has good psychometric properties in terms of internal consistency, factor structure, parent-child agreement, convergent and divergent validity. However, the factor structure of the parent version was insufficient. The CDI-2 total score of the child version and parent version can differentiate between clinically depressed children, children with other psychiatric disorders, and control children. Further, reliable cut-off scores were established. There were also significant gender and age effects.Conclusion: The total score of the CDI-2 child and parent version can be used as a screening tool to detect clinically significant depressive symptoms in children and adolescents. 

Radical cystectomy with urinary diversion is the standard treatment for muscle-invasive bladder cancer. The impact of the type of urinary diversion on quality of life (QoL) remains debated. This cross-sectional study assessed QoL in 57 patients who underwent radical cystectomy between 2014 and 2022 at two urology departments in Rabat, Morocco, using the Bladder Cancer Index (BCI), the SF-36, and the Body Image Scale (BIS). Multiple linear regression identified socioeconomic status, body image perception, urinary discomfort, and comorbidities as the main determinants of QoL, with the type of urinary diversion playing an indirect role mediated through these factors. These findings underscore the need for a multidimensional approach when evaluating and optimizing QoL outcomes after radical cystectomy.

Nuclear Medicine is an integral part of modern healthcare. The use of radioactive nuclides tagged biomolecules, evaluating their distribution in human bodies by SPECT or PET systems, provides longitudinal sets of volumetric and quantitative images that can be used to diagnose a wide range of disease and/or assess response to disease specific treatments [1].

Blood cell production through hematopoiesis within the bone marrow serves both to maintain blood equilibrium and to respond to tissue injury and infectious demands. Hematopoietic stem cell (HSC) therapy developments have revolutionized medical treatment approaches for anemia leukemia and bone marrow failure caused by chemotherapy or radiation exposure. The therapeutic compounds present in medicinal plants have traditionally supported blood health and researchers now understand these plants could help regenerate bone marrow tissue. The analysis investigates how phytochemicals affect HSC proliferation and differentiation while supporting HSC survival. The medicinal plants Panax ginseng, Astragalus membranaceus, and Curcuma longa receive special attention for their documented ability to enhance hematopoiesis in preclinical and clinical settings. This review examines the challenges that include standardization issues, toxicity concerns, and regulatory barriers alongside future perspectives about combining plant-based therapies with traditional treatments to improve bone marrow recovery and health results. 

This study examines the intricate interplay among poverty, unemployment, education, and rural-urban migration in Nigeria, employing both quantitative and qualitative analyses. Quantitative data were analyzed using SPSS software, computing descriptive and inferential statistics such as regression analysis. Quantitative findings reveal income inequality, with many individuals earning below average. Education emerges as a key determinant of economic opportunities, with higher education associated with better outcomes. Moreover, poverty and unemployment exhibit a strong positive correlation with adverse outcomes, emphasizing the need for targeted interventions. Qualitative insights delve into the motivations behind rural-urban migration, shedding light on the economic drivers compelling individuals to seek opportunities in urban areas. Participants’ narratives uncover the challenges faced by migrants, from housing to accessing essential services. Additionally, the role of remittances in sustaining sending communities is highlighted, underscoring their significance. This study underscores the multidimensionality of poverty, unemployment, and migration and emphasizes the need for holistic, evidence-based approaches to promote inclusive development. Recommendations include investments in education, job creation, social safety nets, income inequality reduction, and support for migrant integration. These measures can contribute to equitable economic growth and improved well-being in Nigeria.

The integration of deep learning and genetic analysis has transformed the assessment of elite sports performance, particularly in competitive swimming. This study examines the fusion of deep learning techniques with DNA markers, physiological biometrics, and performance analytics to enhance the prediction and optimization of swimmer performance. A structured dataset comprising genetic sequences, physiological parameters, and biomechanical attributes was utilized to train a neural network model capable of categorizing swimmers based on genetic predisposition and athletic potential. The model achieved high classification accuracy, demonstrating a strong link between genetic markers, physiological traits, and competitive swimming outcomes. The findings emphasize the potential of AI-driven analytics in talent identification, customized training adaptations, and injury prevention. Furthermore, the study highlights the effectiveness of deep learning in analyzing complex genomic and physiological data to generate meaningful insights for performance enhancement. While the results validate the feasibility of using genetic and AI-based models for performance prediction, further studies are needed to broaden dataset diversity, integrate epigenetic influences, and test the model across varied athlete populations. This research contributes to the expanding field of AI-driven sports science and provides a solid foundation for incorporating genomics with deep learning to enhance elite athletic performance.

Pure Erythroid Leukemia (PEL) is an aggressive and exceedingly rare form of acute leukemia. In the 2008 WHO classification PEL was one of the subtypes of acute erythroid leukemia the other subtype being erythroleukemia (erythroid/ myeloid). In the 2016 WHO classification update, erythroleukemia was merged into myelodysplastic syndrome and PEL now is the only type of acute erythroid leukemia.106 cases of acute myeloid leukemia were diagnosed in 28 months in children’s hospital Lahore and PEL constituted 0.94%. Diagnosis of PEL is made by the bone marrow morphology showing predominant Immature erythroid precursors (proerythroblastic or undifferentiated), Periodic Acid- Schiff staining and immunophenotyping. In PEL no specific genetic mutations have been described but complex karyotypes and TP53 mutations are frequently noted. Future collaborative studies to identify the molecular defects will contribute to the development of targeted therapies that might improve the prognosis.

Poxviruses are big, double-stranded DNA viruses that can infect a variety of animal hosts, including humans. Other clinically significant poxvirus infections, such as monkeypox (mpox), cowpox, and molluscum contagiosum, continue to present new and re-emerging public health issues even after smallpox was eradicated. The epidemiology, transmission dynamics, clinical manifestations, diagnostic methods, and treatment approaches of the four main human poxvirus infections are all covered in this study’s methodical narrative synthesis.Relevant studies published between 2000 and 2025 were found by a systematic search of PubMed, Scopus, and Google Scholar; 34 of them were included in the final analysis. Results show that poxviruses differ significantly in host range, transmission patterns, and disease severity, despite sharing common biological traits including cytoplasmic replication and distinctive cutaneous lesion progression. While mpox has resurfaced worldwide, exhibiting persistent human-to-human transmission during the 2022–2023 outbreak, smallpox is still historically relevant because of its high fatality and successful eradication. Cowpox is still an uncommon zoonotic disease associated with animal reservoirs, while Molluscum contagiosum is still very common, especially in children and immunocompromised people. Antiviral medications like tecovirimat offer treatment options for severe cases, and advances in molecular diagnostics, especially polymerase chain reaction, have improved detection.The impact of dwindling population immunity and growing human-animal interaction is demonstrated by the resurgence and persistence of poxvirus diseases. To reduce future epidemics, more surveillance, better diagnostic capabilities, and integrated One Health policies are crucial.

While canine pets offer significant psychological and physical benefits to their owners, especially children, there are well-documented health risks associated with pathogens that can be transmitted to humans.To determine the prevalence of intestinal parasites, with an emphasis on zoonotic ones, in children and their dogs, and to identify risk factors associated with infection, a cross-sectional descriptive study was conducted in children from primary schools in the Cerro municipality, province of Havana. One hundred and three children (36 with dogs and 67 without pets) from fifth and sixth grades were selected. Three stool samples were collected on alternate days, and one stool sample was collected from their pets using conventional coproparasitological techniques between September and December 2023. The results showed a prevalence of 38.8% of intestinal parasites in the children studied. Blastocystis spp. (30.1%) and Giardia duodenalis (17.5%) were the most prevalent zoonotic species. Ancylostoma caninum (8.3%) was the most frequent zoonotic parasite in dogs. Male sex was the only variable that showed statistical significance, associated with a higher risk of infection. There were no significant differences in the prevalence of intestinal parasites in the group of children with dogs compared to those without pets, and no statistical association in the analyzed epidemiological variablesIt is important to develop a One Health approach for the control of these zoonoses, as dogs can act as important sentinels of public health.