Epidemiology of Viral Infectious Diseases Reported in Saudi Arabia.

INTRODUCTION: Efficient epidemiological monitoring of virus diseases is crucial in evaluating general public health, the prevalence of specific diseases, the pattern of spread, and implementing preventative and control strategies into action. METHODS: This study analyzed data obtained from the Field Epidemiology Program (FETP) which is part of the Ministry of Health (MOH) in Saudi Arabia, which contained reported cases of infectious diseases over four years, from January 2018 to December 2021, to investigate and highlight the significant trend and incidence rate for each viral infectious disease. RESULTS: Of the reported viral infectious diseases, hepatitis B and C, dengue fever (DF), influenza, chickenpox, and measles were the highest reported viral cases over four years. For the aforementioned diseases, males were often more susceptible to viral infections than females. Except for DF, this viral infection was more common in Saudi citizens. Viral illnesses like hand, foot, and mouth disease were less prevalent, while neurological viral disorders such as acute flaccid paralysis were rarely detected. There was an overall reduction in viral cases recorded during 2020-2021, which may be attributed to the implementation of preventive measures during the Coronavirus Disease 2019 (COVID-19) pandemic or an underreporting of cases during the lockdown of that time. CONCLUSION: The prevalence of these common viral infections in the Saudi population suggests that understanding the mechanisms influencing changes in these viruses, methods of transmission, and the burden of these diseases is a priority for health policy. This understanding is necessary to develop effective intervention and preventive strategies.

A practical machine learning approach for predicting the quality of 3D (bio)printed scaffolds.

3D (Bio)printing is a highly effective method for fabricating tissue engineering scaffolds, renowned for their exceptional precision and control. Artificial intelligence (AI) has become a crucial technology in this field, capable of learning and replicating complex patterns that surpass human capabilities. However, the integration of AI in tissue engineering is often hampered by the lack of comprehensive and reliable data. This study addresses these challenges by providing one of the most extensive datasets on 3D-printed scaffolds. It provides the most comprehensive open-source dataset and employs various AI techniques, from unsupervised to supervised learning. This dataset includes detailed information on 1171 scaffolds, featuring a variety of biomaterials and concentrations-including 60 biomaterials such as natural and synthesized biomaterials, crosslinkers, enzymes, etc.-along with 49 cell lines, cell densities, and different printing conditions. We used over 40 machine learning and deep learning algorithms, tuning their hyperparameters to reveal hidden patterns and predict cell response, printability, and scaffold quality. The clustering analysis using KMeans identified five distinct ones. In classification tasks, algorithms such as XGBoost, Gradient Boosting, Extra Trees Classifier, Random Forest Classifier, and LightGBM demonstrated superior performance, achieving higher accuracy and F1 scores. A fully connected neural network with six hidden layers from scratch was developed, precisely tuning its hyperparameters for accurate predictions. The developed dataset and the associated code are publicly available onhttps://github.com/saeedrafieyan/MLATEto promote future research.

Designing the pH-sensitive indicator based on starch nanoparticle with bromocresol green for monitoring meat spoilage.

The starch nanoparticle, combined with bromocresol green (BCG), served as a pH-sensitive indicator to monitor meat quality throughout an 8-day refrigerated storage period. The meat samples were sealed in package which the pH-sensitive indicator attached to the interior part of packaging lid. The changes in meat quality were evaluated by total volatile base nitrogen (TVBN), pH, total viable count (TVC), sensory analysis, and color in interval of 0, 3, 5, 7, and 8-days storage at 4°C. Initial TVBN values were recorded at 19.6 mg/100 g, increased to 26.6 mg/100 g by the end of storage period. The pH value was significantly increased after 8 days storage at 4°C. The observed color variation in the indicator from yellow to blue was attributed to the concurrent increases in TVBN, TVC, and pH. The indicator color changes had significant correlation with analyzed chemical quality of stored meat. Therefore, the designed BCG pH-sensitive indicator could be effective in monitoring the meat spoilage during storage.

Dostarlimab: A promising new PD-1 inhibitor for cancer immunotherapy.

OBJECTIVE: Dostarlimab, a humanized monoclonal PD-1 blocking antibody, is being tested as a cancer therapy in this review. Specifically, it addresses mismatch repair failure in endometrial cancer and locally progressed rectal cancer patients. DATA SOURCES: A thorough database search found Dostarlimab clinical trials and studies. Published publications and ongoing clinical trials on Dostarlimab's efficacy as a single therapy and in conjunction with other medicines across cancer types were searched. DATA SUMMARY: The review recommends Dostarlimab for endometrial cancer mismatch repair failure, as supported by GARNET studies. The analysis also highlights locally advanced rectal cancer findings. In the evolving area of cancer therapy, immune checkpoint inhibitors including pembrolizumab, avelumab, atezolizumab, nivolumab, and durvalumab were discussed. CONCLUSIONS: Locally advanced rectal cancer patients responded 100% to Dostarlimab. Many clinical trials, including ROSCAN, AMBER, IOLite, CITRINO, JASPER, OPAL, PRIME, PERLA, and others, are investigating Dostarlimab in combination treatment. This research sheds light on Dostarlimab's current and future possibilities, in improving cancer immunotherapy understanding.

Changes in the prevalence of hepatitis B and C viral infections in Sindh province, Pakistan: Findings from two sero-surveys in 2007 and 2019.

Pakistan harbours a large burden of hepatitis B virus (HBV) and hepatitis C virus (HCV) infection. We utilised repeat sero-surveys to assess progress achieved towards hepatitis elimination in Pakistan. Multilevel logistic regression evaluated the change in HBV infection (HBV surface antigen (HBsAg)-positive) prevalence and HCV exposure (HCV antibody (HCV-Ab)-positive) prevalence between two sero-surveys from 2007 and 2019 for Sindh province and associated risk factors. Adjusted odds ratios (aORs) were estimated and population-attributable fractions (PAF) for modifiable risk factors for HCV exposure. The 2007 and 2019 surveys included 8855 and 6672 individuals. HBsAg prevalence decreased from 2.6% (95% confidence intervals (95% CI): 2.2-2.9) in 2007 to 1.1% (95% CI: 0.8-1.3) in 2019, while HCV-Ab prevalence increased from 5.1% (95% CI: 4.6%-5.5%) to 6.2% (95% CI: 5.6%-6.8%). The age and gender-adjusted HBsAg prevalence decreased by 80% (aOR = 0.2, 95% CI: 0.1-0.4) among children and 60% (aOR = 0.4, 95% CI: 0.3-0.6) among adults over 2007-2019, while HCV-Ab prevalence decreased by 60% (aOR = 0.4, 95%CI:0.2-0.7) in children and increased by 40% (aOR = 1.4, 95% CI: 1.2-1.7) in adults. HCV-Ab prevalence was lower in adults with secondary (aOR = 0.6, 95% CI: 0.5-0.8) and higher (aOR = 0.5, 95%CI:0.3-0.8) education compared to illiterates and higher among adults reporting blood transfusion (aOR = 1.7, 95% CI: 1.2-2.4), family history of hepatitis (aOR = 2.5, 95% CI: 1.9-3.3), past year medical injection (aOR = 2.1, 95% CI: 1.6-2.7), being tattooed (aOR = 1.4, 95% CI: 1.0-1.9) and shaved by traditional barber (aOR = 1.2, 95% CI: 1.0-1.5). Modifiable risk factors accounted for 45% of HCV exposure, with medical injection(s) accounting for 38% (95%CI,25.7-48.4%). Overall HCV has increased over 2007-2019 in Sindh province, while HBV prevalence has decreased. Medical injections should be an important focus of prevention activities.

Safety and Efficacy of Camostat Mesylate for Covid-19: a systematic review and Meta-analysis of Randomized controlled trials.

BACKGROUND: Camostat mesylate, an oral serine protease inhibitor, is a powerful TMPRSS2 inhibitor and has been reported as a possible antiviral treatment against COVID-19. Therefore, we aim to assess the safety and efficacy of camostat mesylate for COVID-19 treatment. METHODS: A systematic review and meta-analysis synthesizing randomized controlled trials from PubMed, Scopus, Embase, Cochrane, Web of Science, clinical trials.gov, and medrxiv until June 2023. The outcomes were pooled using Mean difference (MD) for continuous outcomes and risk ratio (RR) for dichotomous outcomes. The protocol is registered in PROSPERO with ID CRD42023439633. RESULTS: Nine RCTs, including 1,623 patients, were included in this analysis. There was no difference between camostat mesylate and placebo in producing negative PCR test results at 1-7 days (RR: 0.76, 95% CI: [0.54, 1.06] P = 0.1), 8-14 days (RR: 1.02, 95% CI: [0.84, 1.23] P = 0.87), or 15-21 days (RR: 0.99, 95% CI: [0.82, 1.19] P = 0.90); clinical resolution of symptoms at 1-7 days (RR: 0.94 (95% CI: 0.58, 1.53) P = 0.81), 8-14 days (RR: 0.91, 95% CI: [0.74, 1.11] P = 0.33, ), or 15-21 days (RR: 0.77, 95% CI: [0.40, 1.51] P = 0.45); and time to symptom improvement (MD:-0.38 weeks (95% CI: [-1.42, 0.66] P = 0.47, I2 = 85%). CONCLUSION: Camostat mesylate did not improve clinical outcomes in patients with COVID-19, compared to placebo.

Explainable lung cancer classification with ensemble transfer learning of VGG16, Resnet50 and InceptionV3 using grad-cam.

Medical imaging stands as a critical component in diagnosing various diseases, where traditional methods often rely on manual interpretation and conventional machine learning techniques. These approaches, while effective, come with inherent limitations such as subjectivity in interpretation and constraints in handling complex image features. This research paper proposes an integrated deep learning approach utilizing pre-trained models-VGG16, ResNet50, and InceptionV3-combined within a unified framework to improve diagnostic accuracy in medical imaging. The method focuses on lung cancer detection using images resized and converted to a uniform format to optimize performance and ensure consistency across datasets. Our proposed model leverages the strengths of each pre-trained network, achieving a high degree of feature extraction and robustness by freezing the early convolutional layers and fine-tuning the deeper layers. Additionally, techniques like SMOTE and Gaussian Blur are applied to address class imbalance, enhancing model training on underrepresented classes. The model's performance was validated on the IQ-OTH/NCCD lung cancer dataset, which was collected from the Iraq-Oncology Teaching Hospital/National Center for Cancer Diseases over a period of three months in fall 2019. The proposed model achieved an accuracy of 98.18%, with precision and recall rates notably high across all classes. This improvement highlights the potential of integrated deep learning systems in medical diagnostics, providing a more accurate, reliable, and efficient means of disease detection.

Lipid-based nanosystems: the next generation of cancer immune therapy.

Immunotherapy has become an important part of the oncotherapy arsenal. Its applicability in various cancer types is impressive, as well as its use of endogenous mechanisms to achieve desired ends. However, off-target or on-target-off-tumor toxicity, limited activity, lack of control in combination treatments and, especially for solid tumors, low local accumulation, have collectively limited clinical use thereof. These limitations are partially alleviated by delivery systems. Lipid-based nanoparticles (NPs) have emerged as revolutionary carriers due to favorable physicochemical characteristics, with specific applications and strengths particularly useful in immunotherapeutic agent delivery. The aim of this review is to highlight the challenges faced by immunotherapy and how lipid-based NPs have been, and may be further utilized to address such challenges. We discuss recent fundamental and clinical applications of NPs in a range of areas and provide a detailed discussion of the main obstacles in immune checkpoint inhibition therapies, adoptive cellular therapies, and cytokine therapies. We highlight how lipid-based nanosystems could address these through either delivery, direct modulation of the immune system, or targeting of the immunosuppressive tumor microenvironment. We explore advanced and emerging liposomal and lipid nanoparticle (LNP) systems for nucleic acid delivery, intrinsic and extrinsic stimulus-responsive formulations, and biomimetic lipid-based nanosystems in immunotherapy. Finally, we discuss the key challenges relating to the clinical use of lipid-based NP immunotherapies, suggesting future research directions for the near term to realize the potential of these innovative lipid-based nanosystems, as they become the crucial steppingstone towards the necessary enhancement of the efficacy of immunotherapy.

A case report of atypical granular cell tumor of bladder.

INTRODUCTION AND IMPORTANCE: The development of granular cell tumor (GCT) in urinary bladder is a very rare disorder. CASE PRESENTATION: We reported a 50-year-old male, who was referred with vague pelvic pain. There was a hypoechoic mass with diameters of 30*25 mm in frontal wall of bladder in the sonogram. CLINICAL DISCUSSION: The patient underwent transurethral resection of the bladder tumor. Subsequent pathology and immunohistochemistry findings supported the diagnosis of atypical GCT. CONCLUSION: The patient was tumor-free at the follow up. It seems that GCT is usually benign in nature and can be treated by excisional surgery.

Nectin-4-directed antibody-drug conjugates (ADCs): Spotlight on preclinical and clinical evidence.

Nectin-4 (Nectin cell adhesion molecule 4), a type I transmembrane cell adhesion protein, was demonstrated to be overexpressed in a variety of tumors, making it an attractive antigen for targeted therapies such as antibody-drug conjugates (ADCs). Of great note, the US Food and Drug Administration (FDA)-approval of the first Nectin-4-directed ADC, enfortumab vedotin (EV), in urothelial cancer (UC) not only introduced Nectin-4 as a clinically validated and reliable target antigen but also confirmed the evolving role of Nectin-4-directed ADCs as novel and promising cancer therapeutics. In addition to EV, there have been or are currently being seven and eleven Nectin-4-directed ADCs, respectively, in various stages of clinical trials and preclinical development, offering a promising future for the treatment of Nectin-4-positive cancer patients. This study reviewed clinical- and preclinical-stage Nectin-4-directed ADCs.

Regional variability of cardiovascular magnetic resonance access and utilization in the United States.

BACKGROUND: Clinical guidelines and scientific data increasingly support the appropriate use of cardiovascular magnetic resonance (CMR) . The extent of CMR adoption across the United States (US) remains unclear. This observational analysis aims to capture CMR practice patterns in the US. METHODS: Commissioned reports from the Society for Cardiovascular Magnetic Resonance (SCMR), pre-existing survey data from CMR centers, and socioeconomic and coronary heart disease data from the Centers for Disease Control and Prevention were used. The location of imaging centers performing CMR was based on 2018 Medicare claims. Secondary analysis was performed on center-specific survey data from 2017-2019, which were collected by members of the SCMR US Advocacy Subcommittee for quality improvement purposes. The correlation between the number of imaging centers billing for CMR services per million persons, socioeconomic determinants, and coronary heart disease epidemiology was determined. RESULTS: A total of 591 imaging centers billed the Center for Medicare & Medicaid Services for CMR services in 2018 and 112 (of 155) unique CMR centers responded to the survey. In 2018, CMR services were available in almost all 50 states. Minnesota was the state with the highest number of CMR centers per million Medicare beneficiaries (52.6 centers per million), and Maine had the lowest (4.4 per million). The total density of CMR centers was 16 per million for US Medicare beneficiaries. Sixty-eight percent (83 of 112) of survey responders were cardiologists, and 28% (31/112) were radiologists. In 72% (71/112) of centers, academic health care systems performed 81%-100% of CMR exams. The number of high-volume centers (>500 scans per year) increased by seven between 2017 and 2019. In 2019, 53% (59/112) of centers were considered high-volume centers and had an average of 19 years of experience. Centers performing <50 scans had on average 3.5 years of experience. Approximate patient wait time for a CMR exam was 2 weeks to 1 month. CONCLUSION: Despite increasing volume and availability in almost all 50 states, CMR access remains geographically variable. Advocacy efforts to improve access and innovations that reduce imaging time and exam complexity have the potential to increase the adoption of CMR technology.

Characterization of an engineered ACE2 protein for its improved biological features and its transduction into MSCs: A novel approach to combat COVID-19 infection.

Transduced MSCs that express engineered ACE2 could be highly beneficial to combat COVID-19. Engineered ACE2 can act as decoy targets for the virus, preventing its entry into healthy lung cells. To this end, genetic engineering techniques were used to integrate the ACE2 gene into the MSCs genome. The MSCs were evaluated for proper expression and functionality. The mutated form of ACE2 was characterized using various techniques such as protein expression analysis, binding affinity against spike protein, thermal stability assessment, and enzymatic activity assays. The functionality of the mACE2 was assessed on SARS-CoV-2 using the virus-neutralizing test. The obtained results indicated that by introducing specific mutations in the ACE2 gene, the resulting mutant ACE2 had enhanced interaction with viral spike protein, its thermal stability was increased, and its enzymatic function was inhibited as a decoy receptor. Moreover, the mACE2 protein showed higher efficacy in the neutralization of the SARS-CoV-2. In conclusion, this study proposes a novel approach with potential benefits such as targeted drug delivery and reduced side effects on healthy tissues. These transduced MSCs can also be used in combination with other anti-COVID-19 treatments. Design of similar engineered biomolecules with desired properties could also be used to target other diseases.

Detection and consistency of mucosal fluid T lymphocyte phenotypes and their relationship with blood, age and gender.

Innate and adaptive immune responses at mucosal surfaces play a role in protection against most infectious diseases. However, the relative importance either of mucosal versus systemic, or of cellular versus humoral immunity in protection against such infections remains unclear. We aimed to determine the relative percentages and reproducibility of detection of five major T lymphocyte phenotypes in stimulated whole mouth fluid (SWMF); to compare matched mucosal and blood phenotypes; to evaluate the consistency of phenotypes in SWMF over time; and to determine any associations with age or gender. Peripheral blood and SWMF samples were collected from 194 participants and sequential concomitant samples were collected from 27 of those and from 12 subjects living with HIV. CD3, CD4, CD8, Th1 and Th2 T lymphocyte phenotypes were determined by FACS. All the five T lymphocyte phenotypes were detected consistently by FACS in PBMC and SWMF with experimental replicates (N = 10; PBMC CV: 3-30%; SWMF CV: 12-36%). In longitudinal samples detection rates were reproducible in both fluids but variations were higher in SWMF (CV: 23-79.6%) than PBMC (CV: 9.7-75%). Statistically significant correlations of the percentages of all the T lymphocyte phenotypes except CD8 was seen between the two fluids. In PBMCs a negative correlation with age was found with CD3, CD4 and CD8 phenotypes, whilst a positive correlation was found in both SWMF and PBMC with the Th2 phenotype. CD3, CD4 and CD8 phenotypes in SWMF and PBMCs from an HIV-positive cohort were not significantly correlated in contrast with the HIV-negative controls. Our study provides a robust FACS protocol for the detection of the five major T lymphocyte phenotypes in SWMF which should prove useful for research with other mucosal fluids.

High-Field MRI Advantages and Applications in Rheumatology.

Imaging of rheumatologic diseases has historically been performed using conventional radiography. MRI offers an opportunity for detection of altered marrow signal in early disease that is not visible on other imaging modalities such as radiography, computed tomography, or sonography. This review describes the advantages of current MRI techniques in the diagnosis and treatment monitoring of rheumatologic diseases. In addition, this review discusses novel MRI techniques at high-field magnetic strength which may be deployed in the future to allow for improved imaging resolution and quantitative assessment of both axial and peripheral joints.

Marital Quality-A Neglected Player in the Prevention of Cardiovascular Diseases: A Systematic Review of Longitudinal Studies.

PURPOSE OF REVIEW: Marital quality (MQ) is a psychosocial factor that has been neglected in cardiovascular prevention guidelines, although its association with cardiovascular diseases has been identified in several studies. Therefore, we aim to investigate how MQ either in positive or negative dimensions affect different cardiovascular risk factors and diseases. RECENT FINDINGS: We systematically searched different databases in September 2023 for longitudinal studies conducted to assess the contribution of MQ to well-established cardiovascular risk factors and diseases. Two independent researchers screened studies and carried out data extraction and quality assessment of included ones. From 12,175 potential studies screened, 40 were included. The presence of significant heterogeneity in methodology, follow-up, and subsequent effect estimates made it unfeasible to do a meta-analysis. Despite the variation, most studies found a significant association of negative MQ measures with physical inactivity (2/2), high levels of smoking (4/5) and alcohol (3/3) use, increased metabolic syndrome risk (3/3), elevated type 2 diabetes mellitus (T2DM) risk and poor T2DM management (3/6), elevated cardiovascular disease risk and progression (9/11), increased body weight and obesity risk (2/3), elevated blood pressure and hypertension risk (7/8). Positive MQ measures were mainly associated with improvement in blood pressure control (2/2), reduced T2DM risk and its good management (1/1), reduced body weight and obesity risk (2/2), and increased survival in cardiovascular diseases (4/4). Based on current evidence, MQ seems to play a crucial role in developing established cardiovascular risk factors and diseases and is worth considering in preventive strategies.

Factors Associated with Postpartum Depression among Women in Eastern Sudan: A Cross-Sectional Study.

Background and Objectives: Postpartum depression is one of the most common complications of childbirth. While the epidemiology of postpartum depression has been extensively studied in African countries, there is little published data on the topic in Sudan. In addition, no studies have been conducted in Eastern Sudan. This study aims to evaluate the factors associated with postpartum depression among Sudanese women in Gadarif in Eastern Sudan. Materials and Methods: A cross-sectional study (using the systematic random sampling technique) of women presenting to Gadarif Maternity Hospital for postnatal follow-up within six weeks of childbirth was conducted. A questionnaire was used to collect sociodemographic information, and the Edinburgh Postnatal Depression Scale was used to assess postpartum depression. Results: Three hundred women were enrolled in the study. The median (interquartile) age and parity were 30.0 (25.0-34.0) years and 2 (1-4). Thirty-one (10.3%) of the women had postpartum depression. A univariate analysis showed that a past history of depression was the only factor associated with postpartum depression (OR = 3.04, 95% CI = 1.03-8.97). Other investigated factors (age, parity, educational level, occupation, history of previous miscarriage or intrauterine fetal death, a family history of depression, financial support, medical insurance, whether the pregnancy was planned or not, and if the gender of the newborn was known before delivery) were not associated with postpartum depression. Conclusions: The current study showed that 1 out of 10 women had postpartum depression that was associated with a past history of depression. Factors that have been reported to be associated with postpartum depression in African countries (age, parity, education, and occupation) were not found to be associated in this study. Mental health assessment needs to be employed for women in their antenatal and postpartum periods.

Putative new combination vaccine candidates identified by reverse vaccinology and genomic approaches to control enteric pathogens.

OBJECTIVES: The pathogenic microorganisms that cause intestinal diseases can significantly jeopardize people's health. Currently, there are no authorized treatments or vaccinations available to combat the germs responsible for intestinal disease. METHODS: Using immunoinformatics, we developed a potent multi-epitope Combination (combo) vaccine versus Salmonella and enterohemorrhagic E. coli. The B and T cell epitopes were identified by performing a conservancy assessment, population coverage analysis, physicochemical attributes assessment, and secondary and tertiary structure assessment of the chosen antigenic polypeptide. The selection process for vaccine development included using several bioinformatics tools and approaches to finally choose two linear B-cell epitopes, five CTL epitopes, and two HTL epitopes. RESULTS: The vaccine had strong immunogenicity, cytokine production, immunological properties, non-toxicity, non-allergenicity, stability, and potential efficacy against infections. Disulfide bonding, codon modification, and computational cloning were also used to enhance the stability and efficacy of expression in the host E. coli. The vaccine's structure has a strong affinity for the TLR4 ligand and is very durable, as shown by molecular docking and molecular modeling. The results of the immunological simulation demonstrated that both B and T cells had a heightened response to the vaccination component. CONCLUSIONS: The comprehensive in silico analysis reveals that the proposed vaccine will likely elicit a robust immune response against pathogenic bacteria that cause intestinal diseases. Therefore, it is a promising option for further experimental testing.

Quantifying the Dosimetric Impact of Proton Range Uncertainties on RBE-Weighted Dose Distributions in Intensity-Modulated Proton Therapy for Bilateral Head and Neck Cancer.

BACKGROUND: In current clinical practice, intensity-modulated proton therapy (IMPT) head and neck cancer (HNC) plans are generated using a constant relative biological effectiveness (cRBE) of 1.1. The primary goal of this study was to explore the dosimetric impact of proton range uncertainties on RBE-weighted dose (RWD) distributions using a variable RBE (vRBE) model in the context of bilateral HNC IMPT plans. METHODS: The current study included the computed tomography (CT) datasets of ten bilateral HNC patients who had undergone photon therapy. Each patient's plan was generated using three IMPT beams to deliver doses to the CTV_High and CTV_Low for doses of 70 Gy(RBE) and 54 Gy(RBE), respectively, in 35 fractions through a simultaneous integrated boost (SIB) technique. Each nominal plan calculated with a cRBE of 1.1 was subjected to the range uncertainties of ±3%. The McNamara vRBE model was used for RWD calculations. For each patient, the differences in dosimetric metrices between the RWD and nominal dose distributions were compared. RESULTS: The constrictor muscles, oral cavity, parotids, larynx, thyroid, and esophagus showed average differences in mean dose (Dmean) values up to 6.91 Gy(RBE), indicating the impact of proton range uncertainties on RWD distributions. Similarly, the brachial plexus, brain, brainstem, spinal cord, and mandible showed varying degrees of the average differences in maximum dose (Dmax) values (2.78-10.75 Gy(RBE)). The Dmean and Dmax to the CTV from RWD distributions were within ±2% of the dosimetric results in nominal plans. CONCLUSION: The consistent trend of higher mean and maximum doses to the OARs with the McNamara vRBE model compared to cRBE model highlighted the need for consideration of proton range uncertainties while evaluating OAR doses in bilateral HNC IMPT plans.

Assessing Women's Knowledge and Awareness of Sexually Transmitted Infections in Saudi Arabia: A Comprehensive Study.

This study aimed to comprehensively assess the knowledge, awareness, and misconceptions regarding sexually transmitted infections (STIs) among women in Saudi Arabia. A cross-sectional survey was conducted with 600 women aged 18-55 from various regions across the country. The findings revealed moderate overall STI knowledge, with gaps in understanding transmission routes (31.7%), recognizing symptoms (40.8%), and awareness of prevention methods (35.2%). Prevalent misconceptions included the belief that STIs can spread through casual contact (38%), only individuals with multiple partners are at risk (30%), and STIs are always symptomatic (32%). Demographic factors such as age, education level, and marital status significantly influenced STI knowledge, while residential area did not. Higher education, particularly bachelor's degrees and above, was strongly associated with better awareness. Digital platforms like the internet and social media emerged as significant sources of STI information. Undergoing STI testing, discussing STIs with partners, using protection, and receiving the HPV vaccine were linked to higher knowledge levels. This study highlights the need for targeted educational interventions, integration of sexual health education into curricula, training healthcare providers, community engagement, and leveraging digital platforms to enhance STI awareness and prevention efforts among Saudi women.