DISCUSSION: It is a set of various methodologies which are used to capture internal or external images of the human body and organs for clinical and diagnosis needs to examine human form for various kind of ailments. Computationally intelligent machine learning techniques and their application in medical imaging can play a significant role in expediting the diagnosis process and making it more precise.

METHOD: The Cochrane Central Register of Controlled Trials, MEDLINE, CINAHL, EMBASE, SCOPUS and conference proceedings were searched for relevant trials to June 2019. We included randomized controlled trials comparing pomegranate with placebo. The outcomes examined were effects on lipids level. Two authors screened titles for inclusion, extracted data and assessed the quality of the trials using the revised Cochrane risk of bias tool. We used a random effects model to pool data and stratified trials to examine sources of statistical heterogeneity. To assess the quality of the evidence, we used the Grades of Recommendation, Assessment, Development, and Evaluation (GRADE) approach.

RESULTS: Seventeen trials recruiting 763 subjects met the inclusion criteria. These trials varied in terms of the dosage form of pomegranate used, subjects recruited and trials duration. Meta-analyses of data did not show pomegranate produced a significant effect on the lipids level examined. The quality of evidence for all outcomes was low due to the imprecision of the pooled effect and the inconsistency within the included trials. The limited data on safety suggest only mild, transient and infrequent adverse events with the short-term use of pomegranate.

METHODS: This is a prospective randomized study for evaluation of 84 etonogestrel implant (Implanon) users with prolonged or frequent bleeding. They were assigned to either receiving a COCP containing 20 mcg ethinyl estradiol/150 mg desogestrel for two continuous cycle or NSAID; mefenamic acid 500 mg TDS for 5 days, 21 days apart for two cycles. Bleeding pattern during the treatment was recorded and analyzed.

METHODS: The participants consisted of 304 Chinese secondary school students (males = 165, females = 139) with a mean age of 13.55 years old (SD = 0.57) who volunteered to complete three measures, consisting of a demographic information form, the physical activity and leisure motivation scale for youth-Chinese version (PALMS-Y-C) and the Godin leisure-time exercise questionnaire-Chinese version (GLTEQ-C).

RESULTS: There were significant positive correlations between all the seven PA participation motives with amount of exercise (Enjoyment: r = 0.16, P = 0.010; Mastery: r = 0.23, P < 0.001; Competition: r = 0.21, P = 0.001; Affiliation: r = 0.22, P < 0.001; Psychological condition: r = 0.26, P < 0.001; Appearance: r = 0.20, P = 0.001; Physical condition: r = 0.20, P = 0.001). There were also significant mean differences among sweating exercise frequency categories in all the seven areas of PA participation motives (Enjoyment: P = 0.003, Mastery: P < 0.001, Competition: P = 0.001, Affiliation: P = 0.001, Psychological condition: P = 0.038, Appearance = 0.002, Physical condition: P = 0.004).

Patients and Methods: The data were collected from 35 experts by using a bipolar questionnaire. The study applied an analytical hierarchal process (AHP) for prioritization factors contributing to willingness to donate and then selection of a suitable organ donation system based on prioritized factors.

Results: Based on the AHP results, it is evident that donation perception (0.36) has the highest priority in influencing organ donation rates, followed by socioeconomic status (0.32), demographic factors (0.23), and financial incentives (0.09). Further, our results challenge the existing opt-in donation system in Malaysia and present a presumptive approach as a suitable system for increasing deceased donation rate in Malaysia. Presumptive approach promotes the role of health-care professionals in securing the family consent.