Objectives: The coronavirus disease 2019 (COVID-19) pandemic continues to pose significant challenges to the public health sector, including that of the United Arab Emirates (UAE). The objective of this study was to assess the efficiency and accuracy of various deep-learning models in forecasting COVID-19 cases within the UAE, thereby aiding the nation’s public health authorities in informed decision-making. Methods: This study utilized a comprehensive dataset encompassing confirmed COVID-19 cases, demographic statistics, and socioeconomic indicators. Several advanced deep learning models, including long short-term memory (LSTM), bidirectional LSTM, convolutional neural network (CNN), CNN-LSTM, multilayer perceptron, and recurrent neural network (RNN) models, were trained and evaluated. Bayesian optimization was also implemented to fine-tune these models. Results: The evaluation framework revealed that each model exhibited different levels of predictive accuracy and precision. Specifically, the RNN model outperformed the other architectures even without optimization. Comprehensive predictive and perspective analytics were conducted to scrutinize the COVID-19 dataset. Conclusion This study transcends academic boundaries by offering critical insights that enable public health authorities in the UAE to deploy targeted data-driven interventions. The RNN model, which was identified as the most reliable and accurate for this specific context, can significantly influence public health decisions. Moreover, the broader implications of this research validate the capability of deep learning techniques in handling complex datasets, thus offering the transformative potential for predictive accuracy in the public health and healthcare sectors.

Peptide-based therapeutics are increasingly pushing to the forefront of biomedicine with their promise of high specificity and low toxicity.Although noncanonical residues can always be used,employing only the natural 20 residues restricts the chemical space to a finite dimension allowing for comprehensive in silico screening.Towards this goal,the dataset comprising all possible di-,tri-,and tetra-peptide com-binations of the canonical residues has been previously reported.However,with increasing computa-tional power,the comprehensive set of pentapeptides is now also feasible for screening as the comprehensive set of cyclic peptides comprising four or five residues.Here,we provide both the com-plete and prefiltered libraries of all di-,tri-,tetra-,and penta-peptide sequences from 20 canonical amino acids and their homodetic(N-to-C-terminal)cyclic homologues.The FASTA,simplified molecular-input line-entry system(SMILES),and structure-data file(SDF)-three dimension(3D)libraries can be readily used for screening against protein targets.We also provide a simple method and tool for conducting identity-based filtering.Access to this dataset will accelerate small peptide screening workflows and encourage their use in drug discovery campaigns.As a case study,the developed library was screened against severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)main protease to identify po-tential small peptide inhibitors.

Appendiceal neuroendocrine tumors (NET) although rare, but the most common tumors of the gastrointestinal tract in children and adolescents. NET of the appendix is typically undiagnosed preoperatively, are usually not associated with specific neuroendocrine symptoms, and a high percentage are initially identified by pathologists.For well-differentiated tumors of ＜1 cm and complete (R0) resection, no follow-up is required. Unlikely, tumor size ＞2 cm or tumor with high-risk features confer a relevant risk of recurrence and further imaging and surgical procedures are warranted.No consensus, clear recommendation or management guidelines are available for the management of appendiceal NET in children. Herein, current article will provide an overview of literature and suggested guidelines for evaluation and management of childhood neuroendocrine tumors of appendix.

In the context of ARVC, a systematic review of the validation of the ARVC risk score can provide insights into the accuracy and reliability of this score in identifying patients at high risk of ARVC. Digital databases were searched to identify the relevant studies using Medical Subject Headings (MeSH). A total of 8 studies were included in this systematic review. A total of 8 studies were included in this review. The review found that the sensitivity of the ARVC risk scores ranged from 80 to 95%, and the specificity ranged from 31 to 79%. The PPV was 55%, and the NPV was 88%. The ARVC score provided a C-index for a 5-year VA risk prediction of 0.84 [95% CI (0.74–0.93)] and a Harrell C-index of 0.70 (95% CI 0.65–0.75). The calibration slope was 1.01 (95% CI 0.99–1.03). ARVC score demonstrated a significant event 5-year threshold between 15 and 20% and the classical ARVC 5-years/freedom-from-VA rate was 0.76(0.66–0.89) and the non-classical form 5-years/freedom-from-VA rate was 0.58 (0.43–0.78). In conclusion, the validation of ARVC risk scores is an essential step toward improving the accuracy of ARVC diagnosis and risk stratification. Further studies are needed to establish the accuracy and reliability of ARVC risk scores and to address the limitations of the current evidence.

BACKGROUND: A student enrolled in Allied Health Sciences has a curriculum and academic standards that are different compared to a student enrolled in a medical programme. Nevertheless, little is known about the psychological distress of this population. Our objective was to determine whether psychological distress is prevalent in students enrolled in an Allied Health Sciences programme, as well as factors that contribute to it. METHODS: Three hundred and thirty-three (333) undergraduates studying Allied Health Sciences, ages 18-30, were included in this cross-sectional study. A representative sample of students from nursing, physiotherapy, medical laboratory science, medical radiography, and optometry programmes were selected through a stratified sampling technique. A 21-item Depression Anxiety and Stress Scale (DASS-21  10) was used to collect data on psychological distress indicated by depression, anxiety, and stress. We fitted a multivariate logistic regression to identify factors associated with psychological distress among the participants. RESULTS: As a result of the study, 58.9% reported depression, 66.1% reported anxiety, and 45.1% reported stress. Depression (AOR= 3.23; 95% CI: 1.33- 7.81), anxiety (AOR= 3.33;95% CI:1.34- 8.26) and stress (AOR= 2.58;95% CI: 1.14- 5.85) were associated with family history of mental illness. Poor academic performance was associated with anxiety (OR=2.75; 95% CI: 1.35- 5.61) and stress (OR=2.00; 95% CI: 1.05-3.81). CONCLUSIONS The prevalence of psychological distress among allied health sciences students is high, especially among students with poor academic performance and those with a family history of mental illness. Psychological distress can be prevented with early detection and awareness programmes.
Depression ; Anxiety

A 35-year-old female presented with episodes of frequent dizziness, ear fullness, and right ear tinnitus for 12 months. Head imaging revealed a right glomus tympanicum tumor. She underwent pre-operative endovascular embolization of the glomus tympanicum tumor with surgical, cyanoacrylate-based glue. Immediately after the procedure, she developed drowsiness and severe pain in the right temporal region. Further investigations revealed a right cerebellar stroke in the posterior inferior cerebellar artery territory. She was treated with intravenous heparin, followed by one year of oral anticoagulation. With rehabilitation, she significantly recovered from her post embolization stroke. However, the tumor was resected at another institution. Ten years later, follow-up imaging indicated a gradual increase in the size of the glomus jugulare tumor compressing the nearby critical vascular structures. She subsequently received radiation therapy to treat the residual tumor. Currently, she has no neurological deficit, but her mild dizziness, right ear tinnitus, and hearing impairment persist.

Giant internal carotid artery (ICA) aneurysms are complex vascular lesions which are difficult to treat with open as well as endovascular surgery. Parent vessel occlusion is a well-established treatment option for such aneurysms. However, there have been a few reported cases of ruptured aneurysms related to the persistent retrograde filling after parent vessel occlusion. We report a case which highlights the usage of the flow diverter stent as a potential treatment strategy for the management of retrograde filling of aneurysms. A 54-year-old female was found to have a giant left ICA aneurysm on a brain magnetic resonance imaging during workup for headaches. She underwent occlusion of the left ICA proximal to the aneurysm using multiple coils. However, follow up angiograms after 6 months and 2 years demonstrated persistent retrograde filling of the left ICA aneurysm through the posterior communicating (PCOM) artery. Eventually, she was successfully treated with a flow diverter stent across the PCOM artery into the distal ICA. Follow up angiogram after 6 months showed patent flow in the PCOM artery and the distal ICA. with complete occlusion of the aneurysm. Using a flow diverter stent after insufficient parent vessel occlusion for giant intracranial aneurysms may be a feasible treatment option and an addition to the neurovascular treatment armamentarium.

Materials and methods: Twenty-one studies out of 2,215 available articles were eligible and included for this systematic review. Relevant articles were searched, screened and included in this study according to the Preferred Reporting Items for Systematic reviews and MetaAnalyses (PRISMA) criteria. The risk of bias in primary studies was assessed by Cochrane's method. Heterogeneity of pooled prevalence was calculated using the chi-square test on Cochrane's Q statistic, which was quantified by I-square values. The random-effects analyses of proportions were used to determine the pooled prevalence of DENV antibodies, antigen and RNA from eligible studies. Results: Of these, 3 studies reported co-circulation of all the 4 serotypes, while 2 separately reported co-circulation of DENV-1 &2 and DENV-1 to -3. All the antibody-based studies had significantly high heterogeneity (I2 >90%, P <0.05), while the NS1 and PCR-based studies had low heterogeneity (I2 <25%, P >0.05). The pooled prevalence of DENV IgM, IgG, RNA, NS1 and neutralizing antibodies were 16.8%, 34.7%, 7.7%, 7.7% and 0.7%, respectively. Southeast Nigeria had the highest pooled DENV-IgG seropositivity, 77.1%. Marital status, gender, educational level and occupation status, the proximity of residence to refuse dumpsite, frequent use of trousers and long sleeve shirts were significantly associated with DENV IgG seropositivity (P <0.05). Conclusion Based on these findings, it can be inferred that Nigeria is hyperendemic for Dengue fever and needs concerted efforts to control its spread within and outside the country.

Giant internal carotid artery (ICA) aneurysms are complex vascular lesions which are difficult to treat with open as well as endovascular surgery. Parent vessel occlusion is a well-established treatment option for such aneurysms. However, there have been a few reported cases of ruptured aneurysms related to the persistent retrograde filling after parent vessel occlusion. We report a case which highlights the usage of the flow diverter stent as a potential treatment strategy for the management of retrograde filling of aneurysms. A 54-year-old female was found to have a giant left ICA aneurysm on a brain magnetic resonance imaging during workup for headaches. She underwent occlusion of the left ICA proximal to the aneurysm using multiple coils. However, follow up angiograms after 6 months and 2 years demonstrated persistent retrograde filling of the left ICA aneurysm through the posterior communicating (PCOM) artery. Eventually, she was successfully treated with a flow diverter stent across the PCOM artery into the distal ICA. Follow up angiogram after 6 months showed patent flow in the PCOM artery and the distal ICA. with complete occlusion of the aneurysm. Using a flow diverter stent after insufficient parent vessel occlusion for giant intracranial aneurysms may be a feasible treatment option and an addition to the neurovascular treatment armamentarium.

Materials and methods: Twenty-one studies out of 2,215 available articles were eligible and included for this systematic review. Relevant articles were searched, screened and included in this study according to the Preferred Reporting Items for Systematic reviews and MetaAnalyses (PRISMA) criteria. The risk of bias in primary studies was assessed by Cochrane's method. Heterogeneity of pooled prevalence was calculated using the chi-square test on Cochrane's Q statistic, which was quantified by I-square values. The random-effects analyses of proportions were used to determine the pooled prevalence of DENV antibodies, antigen and RNA from eligible studies. Results: Of these, 3 studies reported co-circulation of all the 4 serotypes, while 2 separately reported co-circulation of DENV-1 &2 and DENV-1 to -3. All the antibody-based studies had significantly high heterogeneity (I2 >90%, P <0.05), while the NS1 and PCR-based studies had low heterogeneity (I2 <25%, P >0.05). The pooled prevalence of DENV IgM, IgG, RNA, NS1 and neutralizing antibodies were 16.8%, 34.7%, 7.7%, 7.7% and 0.7%, respectively. Southeast Nigeria had the highest pooled DENV-IgG seropositivity, 77.1%. Marital status, gender, educational level and occupation status, the proximity of residence to refuse dumpsite, frequent use of trousers and long sleeve shirts were significantly associated with DENV IgG seropositivity (P <0.05). Conclusion Based on these findings, it can be inferred that Nigeria is hyperendemic for Dengue fever and needs concerted efforts to control its spread within and outside the country.