MATERIALS AND METHODS: A DCN model was developed using pill images captured with mobile phones under unconstraint environments. The performance of the DCN model was compared to two baseline methods of hand-crafted features.
RESULTS: The DCN model outperforms the baseline methods. The mean accuracy rate of DCN at Top-1 return was 95.35%, whereas the mean accuracy rates of the two baseline methods were 89.00% and 70.65%, respectively. The mean accuracy rates of DCN for Top-5 and Top-10 returns, i.e., 98.75% and 99.55%, were also consistently higher than those of the baseline methods.
DISCUSSION: The images used in this study were captured at various angles and under different level of illumination. DCN model achieved high accuracy despite the suboptimal image quality.
CONCLUSION: The superior performance of DCN underscores the potential of Deep Learning model in the application of pill identification and verification.
METHODS: This cross-sectional survey was conducted among community pharmacists and pharmacy technicians in the capital of Yemen, Sana'a. A total of 289 community pharmacies were randomly selected. The validated and pilot-tested questionnaire consisted of six sections: demographic data, knowledge about pharmacovigilance, experience with ADR reporting, attitudes toward ADR reporting, and the facilitators to improve ADR reporting.
RESULTS: A total of 428 pharmacy technicians and pharmacists were contacted and 179 went on to complete a questionnaire (response rate: 41.8%). Of the 179 respondents, 21 (11.7%) were pharmacists and 158 (88.3%) were pharmacy technicians, of which, 176 (98.3%) were male and 3 (1.7%) were female. The mean age of the respondents was 25.87±2.63 years. There was a significant difference between the pharmacists and pharmacy technicians in terms of knowledge scores (P<0.05). The mean knowledge scores for pharmacists was 3.33±2.852 compared to 0.15±0.666 for pharmacy technicians. With regard to attitudes toward ADR reporting, all pharmacists (100%) showed a positive attitude, while only 43% of pharmacy technicians showed a positive attitude.
CONCLUSION: Pharmacists have a significantly better knowledge than pharmacy technicians with regard to pharmacovigilance. More than half of pharmacy technicians showed a negative attitude toward ADR reporting. Therefore, educational interventions and training is very important for community pharmacists and pharmacy technicians in Yemen to increase their awareness and participation in ADR reporting.
METHODS: This is a case report of a 62-year-old man who presented with bilateral GRTs and associated retinal detachment. The tear in the right eye was supero-temporal and silicone oil was used as an endotamponade. The tear in the left eye was infero-temporal and perfluorocarbon liquid was used as an endotamponade.
RESULTS: The outcome at 6 months after surgery was excellent with visual acuities of 6/6 in both eyes.
CONCLUSION: Improved availability of endotamponade agents allows repair of bilateral GRTs to be done at the same time, with good surgical outcomes.
DISCUSSION: Several treatment options are available for different stages of prostate cancer. Hormone therapy known as androgen deprivation therapy (ADT) is the first line treatment used to treat advanced prostate cancer. Chemical castration by gonadotropin-releasing hormone agonists suppresses lutenizing hormone production, which in turn inhibits the production of testosterone and dihydrotestosterone. This will prevent the growth of prostate cancer cells. However, ADT causes deleterious effects on bone health because the androgens are essential in preserving optimal bone health in men.
CONCLUSION: Various observational studies showed that long-term ADT for advanced or metastatic prostate cancer was associated with decreased bone mineral density, as well as altered body composition that might affect bone health. Considering the potential impact of osteoporotic fracture, interventions to mitigate these skeletal adverse effects should be considered by physicians when initiating ADT on their patients.
MATERIALS AND METHODS: One hundred thirty-five nAMD patients and 135 controls were recruited to determine the association of the -460 C/T, the -2549 I/D, and the +405 G/C polymorphisms with the VEGF gene. Genotyping was conducted using the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) approach, and association analyses were conducted using chi-square analysis and logistic regression analysis.
RESULTS: A significant association was observed between nAMD and the VEGF +405 G/C genotypes (p = 0.002) and alleles (odds ratio = 1.36, 95% confidence interval = 1.12-1.62, p = < 0.001) compared with the controls. This association was confirmed by logistic regression analyses, using two different genetic models (additive and dominant) resulting in p-values of p = 0.001 and p