Basem Al-Omari

Despite the apparent heterogeneity of Gestational Diabetes Mellitus (GDM) and the inter-individual variation, the current management follows standardised protocols that do not account for patients’ needs or underlying phenotypic differences. A search of peer-reviewed literature was conducted to focus on precision medicine (PM) and shared decision-making (SDM) approaches in GDM. A narrative synthesis of evidence from clinical studies, reviews, and conceptual frameworks was conducted to explore how integrating PM with SDM may contribute to more individualised, patient-centred GDM care. The Web of Science Core Collection (WoSCC) was searched to assess trends in publications over the past decade. Women with GDM exhibit diverse clinical trajectories and consistently report a desire to be involved in decisions affecting maternal and infant outcomes. PM enables further individualisation through genetic, metabolic, environmental, and emerging markers, including the gut microbiota, to refine risk stratification and guide targeted interventions. SDM supports informed, collaborative treatment choices and is associated with improved engagement, adherence, and satisfaction. Integrating PM and SDM offers a pathway toward truly individualised GDM care by aligning biologically tailored management with women’s values and priorities. Combining SDM and PM may provide a more holistic framework for individualised GDM care. This framework could potentially enhance the effectiveness, acceptability, and sustainability of GDM management and may lead to a change in current practice. Despite their promise, both approaches remain underutilised and insufficiently integrated into current GDM care models.

Gestational Diabetes Mellitus (GDM) requires long-term management, frequent visits, and additional financial costs compared to normal pregnancies. Patients often express preferences for services that save time, reduce expenses, and simplify screening. Virtual and telehealth services are valued as they shorten travel and waiting times, lower costs, and improve satisfaction. Screening preferences emphasize accuracy, affordability, and convenience, while recent machine learning (ML) models have enhanced prediction and early detection, supporting more personalized strategies. Patients’ preferences have been explored through qualitative, quantitative, and mixed methods, which capture lived experiences, quantify trade-offs, and contextualize results. This review aims to examine GDM patients’ experiences with time, costs, and screening, highlight the role of machine learning in screening, and synthesize evidence from preference-elicitation methods to inform patient-centred care. By linking patient preferences with technological advances in ML, this review provides a broader and more integrated perspective than previous reviews, helping to guide future GDM research and service design.

Background: Genetic testing and sequencing technologies offer a comprehensive understanding of cancer genetics, providing rapid and cost‐effective solutions. In particular, these advanced technologies play an important role in assessing the complexities of the rare cancer types affecting several systems including the bone, endocrine, digestive, vascular, and soft tissue. This review will explore how genetic testing and sequencing technologies have contributed to the identification of biomarkers across several rare cancer types in diagnostic, therapeutic, and prognostic stages, thereby advancing PM.Methods: A comprehensive literature search was conducted across PubMed (MEDLINE), EMBASE, and Web of Science using keywords related to sequencing technologies, genetic testing, and cancer. There were no restrictions on language, methodology, age, or publication date. Both primary and secondary research involving humans or animals were considered.Results: In practice, fluorescence in situ hybridization, karyotype, microarrays and other genetic tests are mainly applied to identify specific genetic alterations and mutations associated with cancer progression. Sequencing technologies, such as next generation sequencing, polymerase chain reaction, whole genome or exome sequencing, enable the rapid analysis of millions of DNA fragments. These techniques assess genome structure, genetic changes, gene expression profiles, and epigenetic variations. Consequently, they help detect main intrinsic markers that are crucial for personalizing diagnosis, treatment options, and prognostic assessments, leading to better patient prognosis. This highlights why these methods are now considered as primary tools in rare cancer research. However, these methods still face multiple limitations, including false positive results, limited precision, and high costs.Conclusion: Genetic testing and sequencing technologies have significantly advanced the field of rare cancer research by enabling the identification of key biomarkers for precision diagnosis, treatment, and prognosis. Despite existing limitations, their integration into clinical and research fields continues to improve the development of personalized medicine strategies for rare and complex cancer types.

During antenatal care, gestational diabetes mellitus (GDM) screening is crucial for early diagnosis and treatment to ameliorate clinical outcomes and limit health care expenses. Dietary management and physical activity are central to GDM treatment, however, adherence is often influenced by personal preferences, socioeconomic barriers, and psychological stress. Pharmacologically, insulin and oral hypoglycemic medications, are the main GDM treatment that can be subject to patients' resistance due to fears of needles and side effects. Metformin is increasingly preferred for its ease of administration and lower cost. In the postpartum stage, regular screening for type 2 diabetes mellitus (T2DM) should always be considered despite the possible limitations that could arise, including communication gaps, lack of long‐term focus, and personal barriers. Overall, women with GDM prefer personalized, flexible management plans that consider their lifestyle, support from health care professionals (HCPs), and family involvement. Addressing psychological and socioeconomic barriers through education, counseling, and support networks is crucial for improving adherence and health outcomes. Enhancing patient‐centered care and shared decision‐making can empower women with GDM to manage their condition effectively and maintain lifestyle changes postpartum. Therefore, this review aimed to assess pregnant women's preferences in GDM management, focusing on screening, dietary recommendations, physical activity, and treatment. Additionally, this review examined GDM care in terms of these patients' quality of life and postpartum experiences.

Objective: This study examines the application of the adaptive choice‐based conjoint (ACBC) method to facilitate the shared decision‐making (SDM) process for osteoarthritis (OA) treatment. Methods: The study recruited adult patients with OA attending the rheumatology/orthopedics clinics in a local urban hospital in Abu Dhabi, United Arab Emirates (UAE). Participants completed a questionnaire regarding who influences their decision in selecting OA medication, followed by an ACBC questionnaire about OA medication preferences and a questionnaire about the potential contribution of ACBC to the SDM process. A univariate analysis was used to investigate the relationships between participant variables and factors that influence their decision‐making processes. The chi‐squared test, Fisher's exact test, Cramér's V coefficient test, and multivariable logistic regression analysis were used. The primary outcome investigates the contribution of the ACBC method to the SDM process for OA treatment. Secondary outcomes measure the association between patient demographics and variables related to the SDM process and ACBC questionnaire. Results: Five hundred patients participated in this study, with a response rate of 100%. Most study participants were 60 to 69 years old (34.8%), women (78.8%), and UAE nationals (90.4%). Patients’ opinions and online or paper information influencing their decision in selecting OA medication had a statistically significant association with age, gender, education, and employment ( P = 0.001, P = 0.039, P = 0.002, and P = 0.001, respectively). Employment status showed the strongest association (φc 0.170) with being independent in making the decision about OA medications, whereas education levels showed the strongest association (φc 0.24) with decisions impacted by online or paper information. The results of the multivariable logistic analysis showed that the only statistically significant variable for online or paper information that influenced the decision in selecting OA medication was education level ( P = 0.003). Most participants agreed or strongly agreed that the ACBC predicted their preferences for OA treatment (96.8%) and that the questionnaire may help doctors understand patient preferences (93%), and they recommended the use of the ACBC tool in doctors’ clinics to aid the SDM process (92.8%) between patients and their physicians. Conclusion: An ACBC approach can facilitate doctors’ understanding of patient preferences and aid the SDM process. Most patients with OA are independent or influenced by their physician when making decisions about OA medication. Higher education and employment among patients with OA are associated with a better involvement in the SDM process for available treatment.

Background: Obesity is a complex metabolic disorder that is associated with several diseases. Recently, precision nutrition (PN) has emerged as a tailored approach to provide individualised dietary recommendations. Aim: This review discusses the major intrinsic and extrinsic components considered when applying PN during the management of obesity and common associated chronic conditions. Results: The review identified three main PN components: gene–nutrient interactions, intestinal microbiota, and lifestyle factors. Genetic makeup significantly contributes to inter-individual variations in dietary behaviours, with advanced genome sequencing and population genetics aiding in detecting gene variants associated with obesity. Additionally, PN-based host-microbiota evaluation emerges as an advanced therapeutic tool, impacting disease control and prevention. The gut microbiome’s composition regulates diverse responses to nutritional recommendations. Several studies highlight PN’s effectiveness in improving diet quality and enhancing adherence to physical activity among obese patients. PN is a key strategy for addressing obesity-related risk factors, encompassing dietary patterns, body weight, fat, blood lipids, glucose levels, and insulin resistance. Conclusion: PN stands out as a feasible tool for effectively managing obesity, considering its ability to integrate genetic and lifestyle factors. The application of PN-based approaches not only improves current obesity conditions but also holds promise for preventing obesity and its associated complications in the long term.

In today’s competitive job market, pharmacists must have a well-crafted curriculum vitae (CV), cover letter, and personal statement. However, non-native English speakers may face challenges in crafting effective job application documents. Jordan is one such country where English is a second language for many, and little is known about the CV/job application writing skills of Jordanian pharmacists. Therefore, this study examined Jordanian pharmacists’ ability to write job applications cover letters, and personal statements in English and investigated the association between several demographics and professional variables and the readability index of cover letters and personal statements. This study aimed to investigate Jordanian pharmacists’ ability to write job applications cover letters, and personal statements in English and evaluate the readability of their personal statements and cover letters. The data were blindly and independently reviewed by two researchers. The readability of the cover letters and personal statements was assessed using an online calculator that assigns a readability index score. A readability score of 7–12 was considered “target”, while scores above 12 or below 7 were considered “complicated” or “simple”, respectively. The relationship between readability index scores and other variables was analyzed using the chi-square test with a statistical significance level of 0.05. The study recruited 592 pharmacists. Most applicants, specifically 62.3%, were female, and 60.0% of them graduated more than six months before submitting their job applications. While 78.2% of the applications included a personal statement, only 34.8% included a cover letter, and 27.2% provided both. Of the 206 cover letters written in English, 43.2% were tailored, and 80.6% were structured. The study also found that the provision of an official photo was associated with providing a cover letter (P < 0.001, Phi(φ) = 0.14) while providing a structured cover letter was associated with including a personal statement (P < 0.001, Phi (φ) = 0.24). Only 102 cover letters and 65 personal statements had readability index scores within the target range. In this study, most Jordanian pharmacists undervalue the importance of cover letters and personal statements and lack job application writing skills. The study also highlighted the need for improved pharmacists’ English proficiency to write effective job application documents in Jordan.

With cancer being a leading cause of death globally, there is an urgent need to improve therapeutic strategies and identify effective chemotherapeutics. This study aims to highlight the potential of crocetin, a natural product derived from certain plants, as an anticancer agent. It was conducted an extensive review of the existing literature to gather and analyze the most recent data on the chemical properties of crocetin and its observed effects in various in vitro and in vivo studies. The study particularly focused on studies that examined crocetin’s impact on cell cycle dynamics, apoptosis, caspases and antioxidant enzyme levels, tumor angiogenesis, inflammation, and overall tumor growth. Crocetin exhibited diverse anti-tumorigenic activities including inhibition of tumor cell proliferation, apoptosis induction, angiogenesis suppression, and potentiation of chemotherapy. Multiple cellular and molecular pathways such as the PI3K/Akt, MAPK and NF-κB were modulated by it. Crocetin demonstrates promising anti-cancer properties and offers potential as an adjunctive or alternative therapy in oncology. More large-scale, rigorously designed clinical trials are needed to establish therapeutic protocols and ascertain the comprehensive benefits and safety profile of crocetin in diverse cancer types.

Objective: To assess osteoarthritis (OA) patients’ preferences for pharmaceutical treatment via Adaptive Choice-Based Conjoint (ACBC) method. Methods: A United Arab Emirates (UAE) based Patient and Public Involvement (PPI) group designed the ACBC questionnaire with 10 attributes and 34 levels. The questionnaire was developed using Sawtooth Software and analyzed through Hierarchical Bayesian (HB). Results were standardized using Z-score via SPSS. Results: Study participants were 1030 OA patients, 83.6% aged 50 or older and 83.4% female. The avoidance of medication’s side effects accounted for 66% relative importance compared to 6% relative importance for the medication’s benefits. The “way of taking the medicine” attribute had the highest coefficient of variation (70%) and the four side effect attributes “risk of gastric ulcer, addiction, kidney and liver impairment, and heart attacks and strokes” had a coefficient of variation from 18 to 21%. Conclusions: Arab OA patients are similar to other ethnic groups in trading-off benefits and side effects and consistently prioritizing the avoidance of medications’ side effects. Although the “Way of taking medicine” was the least important attribute it was associated with the highest variation amongst patients. OA patients also prefer prescribed medications to internet-purchased and over-the-counter options.

Purpose: The purpose of this research is to examine the behavioral factors that impact fast food consumption (FFC) among college students in Pakistan by applying the theory of planned behavior (TPB). Methods: Cross-sectional survey was distributed to college students in Pakistan. The questionnaire examines the factors associated with six categories: demographics, FFC pattern, intention for FFC, attitudes toward FFC, Subjective Norms (SN), and Perceived Behavioral Control (PBC). Data analysis was conducted using SPSS and SPSS AMOS software using descriptive statistics, inferential statistics (chi-square, t-test, Pearson correlation, and multiple regression analysis), and structural equation modeling (SEM) Analysis. Results: A total of 220 questionnaires were completed (97 males and 123 females). There were significant differences in FFC association with gender. Among the constructs of TPB, behavioral intention (BI) and SN are the strongest predictors of the FFC (p < .05). TPB has significantly predicted FFC behavior with a variance of R² 0.603. The SEM analysis shows that the data collected were incompatible with the theoretical TPB model, making it unfeasible to test our five hypotheses or interpret the results due to the poor fit of the model with the data. Conclusions: To ensure a good fit of the data with the specified TPB model in SEM analysis, the number of indicators should be limited (≤ 30), or the sample size should be greater (N ≥ 500). Pakistani college students' FFC is mainly influenced by friends and the increased popularity of fast food, despite their knowledge of its negative health effects. Educational programs should target specific harmful effects of fast food, and SN and BI are the strongest predictors of FFC among TPB constructs. These findings can be useful for developing targeted interventional health strategies and future research.