Journal of Bioengineering & Biomedical Science

In the current era of post genomics, there exist a varity of computational methodologies to understand the nature of disease pathology like RegNetworks, DisgiNet, pharmGkb, pharmacomiR and etc. In most of these computational methodologies either a seed pairing approach or a base pair complement is being followed. Hence there exists a gap in understanding the nature of disease pathology in a holistic view point. In this manuscript we combine the approach of seed pairing and graph theory to illustrate the impact of Pharmacogenomics in Regulatory Networks to understand disease Pathology.

The left atrium (LA) is very essential in the overall performance of the cardiovascular process. Common cardiovascular diseases (CVD) of the atria are atrial fibrillation (AF) which is the most common cardiac arrhythmia in the world that affects over 9 million people in Europe per year and atrial stunning (AS) and can be resolved by minimal invasive cardiac interventions that accesses the LA. Trasseptal puncture technique (TSP) is the most used approach and the success rate depends on the experience of the surgeon. There are associated complications such as the possibility of multiple puncturing and procedural failures. To resolve these complications, the exact spot at which the septum requires to be traversed needs to be simulated and this project is aimed at developing technologies to assist physicians when performing this procedure. Finite element method (FEM) software called Abacus was employed to develop FEM model after effective analysis of the mechanical behavior of the atria specifically the atrial septal wall to enhance the effective optimization of the TSP technique.

Diabetes is one of the leading non communicable diseases affecting public health. Though it is termed as a deficiency rather than a disease, uncontrolled diabetes will lead to complications resulting in renal failure/liver failure/ heart-attack/loss of sight or foot problems leading to amputation if not diagnosed, monitored and treated on time. In order to avoid these complications blood glucose level should be periodically monitored. Conventional methods used for this purpose uses sharp needle which leads to loss of blood and has a risk of infections to the patients. In order to overcome such problems, a non-invasive glucose monitoring system is necessary. In this study, we propose a design, a cost effective and non-invasive glucose monitoring device using near infrared spectroscopy techniques. In addition, GSM module attached to this device will enable wireless data sharing facility. The results can therefore also be transmitted easily to the doctor for examination. The results obtained can also be stored for future records and also to analyse variations in blood glucose level and adjustment of dosage of medicine. The current study shows that our device has accuracy level equivalent to that of conventionally available devices and also provides convenient, hassle free usage to the patients.