7 research outputs found

    Nature-Inspired Metaheuristic Algorithm with deep learning for Healthcare Data Analysis

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    Cardiovascular disease (CVD) detection using deep learning (DL) includes leveraging advanced neural network (NN) models to analyze medical data, namely imaging, electrocardiograms (ECGs), and patient records. This study introduces a new Nature Inspired Metaheuristic Algorithm with Deep Learning for Healthcare Data Analysis (NIMADL-HDA) technique. The NIMADL-HDA technique examines healthcare data for the recognition and classification of CVD. In the presented NIMADL-HDA technique, Z-score normalization was initially performed to normalize the input data. In addition, the NIMADL-HDA method made use of a barnacle mating optimizer (BMO) for the feature selection (FS) process. For healthcare data classification, a convolutional long short-term memory (CLSTM) model was employed. At last, the prairie dog optimization (PDO) algorithm was exploited for the optimal hyperparameter selection procedure. The experimentation outcome analysis of the NIMADL-HDA technique was verified on a benchmark healthcare dataset. The obtained outcomes stated that the NIMADL-HDA technique reached an effectual performance over other models. The NIMADL-HDA method provides an adaptable and sophisticated solution for healthcare data analysis, aiming to improve the interpretability and accuracy of the algorithm in terms of medical applications

    SPARC 2019 Fake news & home truths : Salford postgraduate annual research conference book of abstracts

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    Welcome to the Book of Abstracts for the 2019 SPARC conference. This year we not only celebrate the work of our PGRs but also our first ever Doctoral School Best Supervisor awards, which makes this year’s conference extra special. Once again we have received a tremendous contribution from our postgraduate research community; with over 90 presenters, the conference truly showcases a vibrant, innovative and collaborative PGR community at Salford. These abstracts provide a taster of the inspiring, relevant and impactful research in progress, and provide delegates with a reference point for networking and initiating critical debate. Find an abstract that interests you, and say “Hello” to the author. Who knows what might result from your conversation? With such wide-ranging topics being showcased, we encourage you to take up this great opportunity to engage with researchers working in different subject areas from your own. To meet global challenges, high impact research needs interdisciplinary collaboration. This is recognised and rewarded by all major research funders. Engaging with the work of others and forging collaborations across subject areas is an essential skill for the next generation of researchers. Even better, our free ice cream van means that you can have those conversations while enjoying a refreshing ice lolly

    Design, synthesis, antitumor evaluation, and molecular docking of novel pyrrolo[2,3-d]pyrimidine as multi-kinase inhibitors

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    In the last twenty years, protein kinases have been identified as important targets for cancer therapy. In order to prevent unexpected toxicity, medicinal chemists have always focused on discovering selective protein kinase inhibitors. However, cancer is a multifactorial process and its formation and progression depend on different stimuli. Therefore, it is imperative to develop anticancer therapy that targets multiple kinases associated cancer progression. In this research a series of hybrid compounds was designed and synthesized successfully with the aim of producing anticancer activity through the induction of multiple protein kinase inhibition. The designed derivatives comprise isatin and pyrrolo[2,3-d]pyrimidine scaffolds in their structures with a hydrazine linking the two pharmacophores. Antiproliferative and kinase inhibition assays revealed promising anticancer and multi-kinase inhibitory effects of compound 7 with comparable results with the reference standards. Moreover, compound 7 suppressed cell cycle progression and induced apoptosis in HepG2 cells. Finally, molecular docking simulation was performed to investigate the potential types of interactions between the protein kinase enzymes and the designed hybrid compounds. The results of this research indicated the promising anticancer effect of compound 7 through the inhibition of a number of protein kinase receptors and the suppression of cell cycle and the induction of apoptosis

    sj-docx-1-tps-10.1177_13634615241227691 - Supplemental material for Cultural adaptations of third-wave psychotherapies in Gulf Cooperation Council countries: A systematic review

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    Supplemental material, sj-docx-1-tps-10.1177_13634615241227691 for Cultural adaptations of third-wave psychotherapies in Gulf Cooperation Council countries: A systematic review by Duaa H. Alrashdi, Aisha H. Alyafei, Samar A. Alanazi, Carly Meyer, and Rebecca L. Gould in Transcultural Psychiatry</p

    Relationship Between Obesity and Immunological Parameters Among Students at the PSAU University-Alkharj, KSA

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    Obesity represents a major worldwide health problem, all aspects of which have not fully defined, nor fully understood.&nbsp; In the current study, we investigated a population of university students in terms of the relationship between incidence of obesity in individuals (n=171),within this larger cohort (n=500), with the comorbidities that these high BMI individuals also carried. We also report important statistical differences in blood levels each of cardiac-related protein (CRP)(p=0.002), IL-6(p=0.005), &amp;leptin(p=0.02), when we related the blood values with individual student BMIs which were used as a measure of obesity

    Hematological and Biochemical Parameters Among Obese Students at the PSAU, Alkharj, KSA

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    Management of obesity represents a global problem that challenges the provision of healthcare services in most countries. Saudi Arabia ranked number 29 on a 2007 list of countries with 6% of its population being overweight (BMI &gt; 25).In a university setting, we studied hematological parameters (including whole blood counts, haemoglobin and platelets), the presence of basophilia, iron levels and lipid profiles in obese students, and also in non-obese student controls. We found a significant increase in whole blood count in obese compared to healthy individuals, and also found a high level of basophilia compared to healthy controls.&nbsp; We also report that the obese student group suffered from low iron levels, and also a reduced total iron binding capacity, as compared to healthy controls. Levels of cholesterol and triglycerides was significantly higher in obese students compared to healthy controls. This study can be interpreted that universities across the Kingdom, and beyond, should consider targeting obesity management in their students to try to reduce the prevalence of obesity and associated disorders, and to support such healthcare programs by offering a variety of environmental, physical exercise and nutritional interventions

    Evaluation of Impact of a Pharmacist-Led Educational Campaign on Disease Knowledge, Practices and Medication Adherence for Type-2 Diabetic Patients: A Prospective Pre- and Post-Analysis

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    Type 2 Diabetes mellitus is a major public health concern with an alarming global growth rate. According to the World Health Organization (WHO), Saudi Arabia ranks seventh in the world and second in the Middle East for the largest estimated burden of diabetic cases. Evidence shows that pharmacist-led care programs can be beneficial for the effective treatment of diabetes mellitus. Current study was aimed to evaluate the impact of Pharmacist-Based Diabetic Intervention (PDIM) for Type 2 Diabetes patients on knowledge of the disease, adherence to medications and self-care practices during the first wave of COVID-19. A multi-arm pre-post study was conducted among type 2 diabetic patients from April to October 2021 in Sakaka, Saudi Arabia. Patients were randomly divided into an intervention and a control group. The intervention group received the PDIM, whereas the control group only received the usual care. The pharmacist-based diabetes intervention model consisted of a diabetic educational module and medication improvement strategies. Furthermore, the intervention group also received specific telepharmacy services (calls, messages or emails) to address their medication-related problems, inquire about medication adherence and follow-up. At the end of six months, disease knowledge, self-care practices, and medication adherence score were analyzed. Furthermore, HbA1c and lipid profile were also compared. A total of 109 patients were included in the study. A significant difference was observed in the knowledge score between the intervention and control group (16.89 &plusmn; 2.01 versus 15.24 &plusmn; 2.03, p-value &lt; 0.001). Similarly, self-care practices also improved in the intervention group as compared to the control group (4.39 &plusmn; 1.10 versus 3.16 &plusmn; 0.97, p-value &lt; 0.001). Furthermore, the medication adherence and HbA1c significantly improved during between the group analysis (p &lt; 0.05). Our study demonstrates that pharmacist-based diabetes intervention model is effective in improving patients&rsquo; knowledge of diabetes, self-care practices, medication adherence and glycemic control
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