An Integrated Approach to Iron Deficiency Anemia

Iron deficiency is a common nutritional disorder in developing countries and contributes significantly to reduced work productivity and economic output as well as to increased morbidity and mortality. There are well-established biochemical tests for assessing iron status in developed countries. However, cost and interference from infectious conditions make it difficult to assess iron status in many developing country settings. Examination of the hemoglobin distribution in the population and assessment of the hemoglobin response to supplementation are alternative approaches to define iron status and the nature of anemia. Prevention and control of iron deficiency requires the combined approach of dietary improvement, fortification of a common staple food when feasible, and appropriate iron supplementation for infants and pregnant women. In all these intervention activities, operational research is needed to improve effectiveness. In addition, controlling iron deficiency requires coordination with other nutrition and primary health care programs as part of an integrated approach to improved health and nutrition of the population. A randomized, controlled double-blind clinical trial was conducted to compare the efficacy and safety of herbal medicinal treatment syrup Sharbat-a-Folad versus syrup Ferplex for the treatment of iron deficiency anemia (IDA)

Food rainbow to boost immunity in different age groups –review on nature’s perspective

Food is a blessing in simple terms it not only nourishes and gives vitality but also provide reservoir to keep the body functioning in pace. Food act as a diet and medicine depends on how one uses it sensibly and accurately. The food rainbow is rich in variety with respect to appearance, taste, chemical composition, nutritional value and medicinal properties. As immunity is the integral part of body and it can be well maintained if one is having a good portion utilized daily from the food rainbow. In natural medicine the kitchen spices has played a pivotal role in health and making food palatable. Natural sources like vegetables, fruits, meat, nuts, dairy, grains and etc., are enriched with this blessing to heal and boost immunity. Every cell functions when it has the proper nutrition and every single body is different from other then comes the age and gender differentiation. This difference of age and gender demands variety of meals incorporated in daily diet thus food rainbow utilization is the key to maintain proper functioning of body cells and also boosting immunity. Energy packed food rainbow has not only the physiological benefits it vitalizes the emotional and psychological health as well. Co-ordination in all processes is achieved while mantaininghealthy life style and nutrition. As we all are well aware about the significance of maintaining a proper diet regimen to obtain sound health and active lifestyle. This article will elaborate about the food rainbow which must be included in daily routine in different age groups and genders. The daily recommendation for certain nutrients is different with growing age and also at the time of advancement in age. From research perspective the recommendations can be followed and results can be recorded for further enhancement on immunity booster food. This could be done at level of educational institute with students and teachers to extend the analysis and educate people from early age to understand and alter their diet according to their age and gender and get most out of it.

Alternative treatment for iron deficiency anemia: Irocbin versus sherbat Faulad

Abstract: The widespread reason of anemia is Iron deficiency in Pakistan and even worldwide. A clinical trial wasundertaken to assess the efficacy of Irocbin formulation for the treatment of iron deficiency anemia as compared toSherbat Faulad. The curative evaluations of these medicines were recorded in clinically and biochemically identifiedcases of iron deficiency anemia. The therapeutic evaluation of the different drugs both test and control drug wereconducted on the bases of improvement in the subjective signs and symptoms, clinical observations and biochemicalinvestigations at periodic intervals during the course of therapy. This data was collected in the period November 2010 toNovember 2012 and completed the clinical trials. According to the statistical analysis comparison of data recorded bypatients concerning to different variables, showed significant results between test and control groups (

Prediction of ROP Zones Using Deep Learning Algorithms and Voting Classifier Technique

Abstract Retinopathy of prematurity (ROP) can cause blindness in premature neonates. It is diagnosed when new blood vessels form abnormally in the retina. However, people at high risk of ROP might benefit significantly from early detection and treatment. Therefore, early diagnosis of ROP is vital in averting visual impairment. However, due to a lack of medical experience in detecting this condition, many people refuse treatment; this is especially troublesome given the rising cases of ROP. To deal with this problem, we trained three transfer learning models (VGG-19, ResNet-50, and EfficientNetB5) and a convolutional neural network (CNN) to identify the zones of ROP in preterm newborns. The dataset to train the model contains 1365 fundus images from the ROP screening. This dataset was gathered from the Private Clinic Al-Amal Eye center in Baghdad, Iraq. The models above are ensemble through voting classifier techniques to increase the performance. The proposed method had an overall accuracy of 88.82 percent when employing the voting classifier. On the other hand, EfficientNetB5 has outperformed other models in terms of accuracy with 87.27%