Background and Objective: The role of the pharmacist in healthcare society is unique, since they are providers of health information and medication counseling to patients. Hence, this study aimed to evaluate Awareness, Perceptions, and Opinions towards Artificial intelligence (AI) among pharmacy undergraduate students at King Saud University (KSU), Riyadh, Saudi Arabia. Materials and Methods: A cross-sectional, questionnaire-based study was conducted between December 2022 and January 2023 using online questionnaires. The data collection was carried out using convenience sampling methods among senior pharmacy students at the College of Pharmacy, King Saud University. Statistical Package for the Social Sciences version 26 was used to analyze the data (SPSS). Results: A total of one hundred and fifty-seven pharmacy students completed the questionnaires. Of these, most of them (n = 118; 75.2%) were males. About 42%, (n = 65) were in their fourth year of study. Most of the students (n = 116; 73.9%) knew about AI. In addition, 69.4% (n = 109) of the students thought that AI is a tool that helps healthcare professionals (HCP). However, more than half 57.3% (n = 90) of the students were aware that AI would assist healthcare professionals in becoming better with the widespread use of AI. Furthermore, 75.1% of the students agreed that AI reduces errors in medical practice. The mean positive perception score was 29.8 (SD = 9.63; range-0–38). The mean score was significantly associated with age (p = 0.030), year of study (p = 0.040), and nationality (p = 0.013). The gender of the participants was found to have no significant association with the mean positive perception score (p = 0.916). Conclusions: Overall, pharmacy students showed good awareness of AI in Saudi Arabia. Moreover, the majority of the students had positive perceptions about the concepts, benefits, and implementation of AI. Moreover, most students indicated that there is a need for more education and training in the field of AI. Consequently, early exposure to content related to AI in the curriculum of pharmacy is an important step to help in the wide use of these technologies in the graduates’ future careers.

Breast cancer is one of the most prevalent cancers in the world. Traditionally, medicinal plants have been used to cure various types of diseases and disorders. Based on a literature survey, the current study was undertaken to explore the anticancer potential of Foeniculum vulgare Mill. phytoconstituents against breast cancer target protein (PDB ID: 6CHZ) by the molecular docking technique. Molecular docking was done using Autodock/vina software. Toxicity was predicted by the Protox II server and drug likeness was predicted by Molinspiration. 100 ns MD simulation of the best protein-ligand complexes were done using the Amber 18 tool. The present molecular docking investigation has revealed that among the 40 selected phytoconstituents of F. vulgare, α-pinene and D-limonene showed best binding energy (−6 and −5.9 kcal/mol respectively) with the breast cancer target. α-Pinene and D-limonene followed all the parameters of toxicity, and 100 ns MD simulations of α-pinene and D-limonene complexes with 6CHZ were found to be stable. α-Pinene and D-limonene can be used as new therapeutic agents to cure breast cancer.

(1) Background: The occurrence, intensity, and characteristics of adverse drug reactions (ADRs) caused by anti-tuberculosis (TB) drugs have consistently been a subject of worry. There is a lack of published research from Pakistan regarding the negative effects of anti-TB treatment on children, specifically about ADRs. In this study, we aimed to investigate the ADR associated with anti-DR-TB treatment in children. (2) Methods: A prospective longitudinal study was conducted in the multicenter setting of Khyber Pakhtunkhwa, Pakistan. A total of 450 TB children in multicenter hospitals under ATT were assessed for ADRs. Naranjo Causality Assessment and Hartwig’s Severity Assessment Scale were used to evaluate the causality and severity. (3) Results: A total of 300 (66.66%) ADRs were reported in 450 people with DRTB. Anemia was the most frequently observed ADR (37.6%) followed by nausea and vomiting (18.6%). On multivariate analysis, the independent variables that had a statistically significant positive association with ADRs were participants aged, 5–14 years (AOR, 0.3 (0.1–0.5), p ≤ 0.001), normal weight (1.1 (2.0–1.9), p < 0.001), and children having comorbidities (AOR, 0.5 (0.1–0.8), p ≤ 0.001). (4) Conclusions: Our findings advocate for personalized treatment approaches, incorporating nutritional support, comprehensive comorbidity management, and vigilant monitoring to mitigate ADRs and improve treatment outcomes.

Introduction: Tuberculosis and cardiovascular disease (CVD) pose significant health challenges in developing countries. Research suggests a connection between tuberculosis infections and the development of CVD. The immune response to Mycobacterium tuberculosis, driven by monocytes, macrophages, lymphocytes, and cytokines, also plays a key role in the formation of atherosclerosis in the arteries, contributing to cardiovascular complications. This study aimed to assess the mortality trend of tuberculosis patients due to the development of cardiovascular disease among TB patients, secondary to tuberculosis infection. Methodology: This retrospective study was conducted at Penang General Hospital, Malaysia, from January 2023 to August 2023. Data was collected from January 2015 to December 2022. A retrospective design that focuses on TB patients without pre-existing CVD. This study utilized a purposive sampling of 657 deceased TB patient files. Results: The present study findings revealed a significant statistic of mortality of 12.5% due to CVD among TB patients, with acute coronary syndrome being the leading cause (8.37%). Factors such as anemia (p = 0.005) and drug resistance (p = 0.004) demonstrated a significant association with mortality due to CVD. Conclusions: These findings illuminate the possible link between tuberculosis infection and cardiovascular disease (CVD) progression. Identifying risk factors contributing to the development of CVD can guide targeted interventions aimed at improving the comprehensive care of tuberculosis patients.