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The most prevalent paediatric vision-threatening medical condition, retinoblastoma (RB), has been a global concern for a long time. Several conventional therapies, such as systemic chemotherapy and focal therapy, have been used for curative purposes; however, the search for tumour eradication with the least impact on surrounding tissues is still ongoing. This review focuses on the genetic origin, classification, conventional treatment modalities, and their combination with nano-scale delivery systems for active tumour targeting. In addition, the review also delves into ongoing clinical trials and patents, as well as emerging therapies such as gene therapy and immunotherapy for the treatment of RB. Understanding the role of genetics in the development of RB has refined its treatment strategy according to the genetic type. New approaches such as nanostructured drug delivery systems, galenic preparations, nutlin-3a, histone deacetylase inhibitors, N-MYC inhibitors, pentoxifylline, immunotherapy, gene therapy, etc. discussed in this review, have the potential to circumvent the limitations of conventional therapies and improve treatment outcomes for RB. In summary, this review highlights the importance and need for novel approaches as alternative therapies that would ultimately displace the shortcomings associated with conventional therapies and reduce the enucleation rate, thereby preserving global vision in the affected paediatric population.

The effect of the Covid pandemic is not restricted to sickness and death but also extends to socioeconomic concerns. The statistics-based assessment of covid data presented is the measure of the damages that happened to citizens of a country and the required actions taken towards those damages. This study aims to analyse the consequences of numerous considerations on the deaths due to the pandemic. The paper presents the statistics-based processing of COVID-19 data using logistic regression (LR) and decision tree (DT). Results are compared using the logistic regression algorithm (based on statistics) and the decision tree algorithm (based on machine learning). This study presented the predictive abilities of logistic regression and decision tree approaches and observed better results for the decision tree method. An accuracy of 94.10% for decision tree and 93.90% for logistic regression, respectively observed. It is also observed that highly populated countries are inclined to have more corona cases than those with low density. More females die than males, and a greater number of deaths are observed in cases of age greater than sixty-five years. The experimental data is gathered from the official website of the world health organization (WHO) between January 2020 and June 2020. The results presented are promising for the reported studies.

miRNAs biomarkers are emerging as an essential part of clinical oncology. Their oncogenic and tumour suppressor properties playing a role in malignancy has generated interest in their potential for use in disease prognosis. While several studies on miRNA have been carried out across the globe, evaluating the clinical implications of miRNAs in cancer diagnosis and prognosis research has currently not been attempted. A study delineating the area of miRNA research, including the topics presently being focused on, the seminal papers in this field, and the direction of research interest, does not exist. This study aims to conduct a large-scale, global data analysis and bibliometric profiling analysis of studies to evaluate the research output of clinical implications of miRNAs in cancer diagnosis and prognosis listed in the SCOPUS database. A systematic search strategy was followed to identify and extract all relevant studies, subsequently analysed to generate a bibliometric map. SPSS software (version 27) was used to calculate bibliometric indicators or parameters for analysis, such as year and country of affiliation with leading authors, journals, and institutions. It is also used to analyse annual research outputs, including total citations and the number of times it has been cited with productive nations and H-index. The number of global research articles retrieved for miRNA-Cancer research over the study period 2003 to 2019 was 18,636. Between 2012 and 2019, the growth rate of global publications is six times (n = 15,959; 90.71 percent articles) that of 2003 to 2011. (2704; 9.29 per cent articles). China published the most publications in the field of miRNA in cancer (n = 7782; 41%), while the United States had the most citations (n = 327,538; 48%) during the time span. Of these journals, Oncotarget has the highest percentage of article publications. The journal Cancer Research had the most citations (n = 41,876), with 6.20 per cent (n = 41,876). This study revealed a wide variety of journals in which miRNA-Cancer research are published; these bibliometric parameters exhibit crucial clinical information on performance assessment of research productivity and quality of research output. Therefore, this study provides a helpful reference for clinical oncologists, cancer scientists, policy decision-makers and clinical data researchers.

The COVID-19 pandemic has caused worldwide disruption to the entire educational system, including medical and health professions education. Considering the critical situation due to COVID-19, academic institutions shifted the entire pedagogical approach to the virtual learning mode. While delivering online teaching, educators experienced numerous challenges, including access to the internet, poor connectivity, and other technical issues. Some students did not have laptops and necessary devices to attend the Class. Besides, many educators were not confident enough to manage the online mode of delivery. In this perspective, we reviewed the evidence of best practices for the medical and health professions educators to deliver the curriculum through an online platform. Therefore, the current study aimed to review the best practices for effective online teaching and learning in medical and health professions education during COVID-19 and beyond. We reviewed the technical aspects of online teaching and educational strategies required for educators to provide quality training not just during the pandemic but beyond this crisis. The online literature search was performed on Medline, PubMed and google scholar databases for studies on online teaching in medical and health profession education and what are the best practices of teaching globally Online teaching and assessment must balance the requirements of technology, learning outcomes, delivery modes, learning resources, and learning resources. The study concludes that medical and health professions institutions strengthen technical infrastructure, promote continuous faculty development programs, and support indigent students to access digital technology.

In 2003, the United States saw an epidemic of monkeypox that was later traced back to rodents of West Africa infected with the monkeypox virus (MPXV). Disease in the United States seemed less severe than the smallpox-like disease in the Democratic Republic of the Congo (DRC). In this study, researchers analyzed data from Central Africa: two distinct MPXV clades were confirmed by sequencing the genomes of MPXV isolates from Western Africa, the United States, and Central Africa. By comparing open reading frames across MPXV clades, scientists can infer which virus proteins might account for the observed variation in pathogenicity in humans. Monkeypox can be prevented and controlled with a better understanding of MPXV’s molecular etiology and epidemiological and clinical features. In light of the current outbreaks worldwide, we provide updated information on monkeypox for medical professionals in this review.

The analytical quality by design (AQbD) approach is utilized for developing and validating the simple, sensitive, cost-effective reverse-phase high performance liquid chromatographic method for the estimation of xanthohumol (XH) in bulk and nanoformulations. The Box–Behnken design (BBD) is applied for method optimization. The mobile phase ratio, pH and flow rate were selected as independent variables, whereas retention time, peak area, peak height, tailing factor, and theoretical plates were selected as dependent variables. The chromatogram of XH obtained under optimized conditions has given optimum conditions such as retention time (5.392 min), peak area (1,226,737 mAU), peak height (90,121 AU), tailing factor (0.991) and theoretical plates (4446.667), which are contoured in the predicted values shown by BBD. Validation of the method has been performed according to ICH Q2(R1) recommendations, using optimized conditions for linearity, limit of detection (LOD) and limit of quantification (LOQ), accuracy, precision, robustness and system suitability. All the values of validation parameters lie within the acceptable limits prescribed by ICH. Therefore, the developed and validated method of XH by the AQbD approach can be applied for the estimation of XH in bulk and various nanoformulations.