Stronger Together: A Qualitative Exploration of Social Connectedness in Parkinson's Disease in the Digital Era.

Purpose: Social isolation is a common consequence of Parkinson's disease (PD), and social prescribing has become a crucial aspect for fostering well-being in this population. In fact, group work has been shown to improve levels of social connectedness in older adults across different domains. Increased technology use in older adults may also contribute to increased social connections, especially since the COVID-19 pandemic.

ALT CHANGES AND ADVERSE EVENTS OF TELBIVUDINE IN HEPATITIS-B PATIENTS-AN EXPERIENCE OF 11 PATIENTS.

Hepatitis-B virus (HBV) infection is a major global health problem. Of the two billion people who have been infected, more than 350 million have chronic hepatitis. It is estimated that 235,000-328,000 people die annually due to liver cirrhosis and hepatocellular carcinoma, we assessed the short term outcomes of treatment with telbivudine in 11 adults aged 14-41 years with HBeAg-positive or HBeAg-negative chronic hepatitis-B (CHB).

A new approach for modelling gene regulatory networks using fuzzy petri nets.

Gene Regulatory Networks are models of genes and gene interactions at the expression level. The advent of microarray technology has challenged computer scientists to develop better algorithms for modeling the underlying regulatory relationship in between the genes. Fuzzy system has an ability to search microarray datasets for activator/repressor regulatory relationship.

Visualization of microarray gene expression data.

Microarray gene expression data is used in various biological and medical investigations. Processing of gene expression data requires algorithms in data mining, process automation and knowledge discovery. Available data mining algorithms exploits various visualization techniques.

GEDAS - Gene Expression Data Analysis Suite.

Unlabelled: Currently available micro-array gene expression data analysis tools lack standardization at various levels. We developed GEDAS (gene expression data analysis suite) to bring various tools and techniques in one system. It also provides a number of other features such as a large collection of distance measures and pre-processing techniques.