ANALYTICAL METHOD DEVELOPMENT & VALIDATION OF ARTEMETHER IN BULK DRUG BY RP- HPLC METHOD AS PER ICH GUIDELINES

Objective: An accurate, precise, rapid & economical RP-HPLC method was developed for the estimation of Artemether as per International Conference on Harmonization (ICH) guideline in pharmaceutical dosage form using ultraviolet (UV) detector. Methods: Elution was carried out using a mobile phase consisting of Acetonitrile & Methanol (50:50 v/v) and the flow rate was set to 1.6 ml/min at 216 nm, retention time for Artemether was found to be 1.330 min. Results: The method was found to be linear in the concentration range of 100-600 µg/ml, in the linearity study regression equation was found to be y = 0.199x – 1.133 & correlation coefficient was found to be 0.999. This method was Rugged and Robust in different testing criteria, LOD and LOQ were found to be 23.037µg/ml, 69.809µg/ml respectively. Accuracy study was done in 3 different concentration level i. e 50, 100, 150% & % recovery of the method was found to be 99.4%, 100.4%, 99.7% respectively in 3 different levels & mean recovery was 99.8%, so method was accurate. Conclusion: Results of all validation parameters were within the limits as per ICH guidelines. Â

Structured teaching programme on knowledge about polycystic ovarian syndrome among adolescent girls

Background: Polycystic ovarian syndrome is a common female endocrine disorder affecting 4 – 18% of women in their reproductive age. It is common in adolescent girls. Polycystic Ovarian Syndrome affects throughout the life and produce gynaecological and metabolic health problems. The aim of this study to create the awareness about the polycystic ovarian syndrome to the adolescent girls.Methods: A Quantitative approach with pre- experimental design was used to study the effectiveness of STP on Poly Cystic Ovarian Syndrome. Ninety-four adolescent girls aged between 15 – 18 years were conveniently selected. Data was collected by using Structured Knowledge questionnaire.Results: The mean post-test knowledge score (22.55± 3.57) was higher than that of mean pre-test mean knowledge score (11.13± 3.32) and the mean difference was11.42. The ‘t’ calculated value was 23.45 which is higher than the tabulated value of 1.98 (df 93 at p< 0.05). Therefore, research hypothesis was accepted. So, it can be interpreting that structured teaching programme is effective in improving the knowledge of adolescent girls.Conclusions: The findings of the study revealed that STP was effective in enhancing the knowledge of adolescent girls on PCOS. Hence the study concluded that structured teaching programme had a great potentiality to increase the awareness on PCOS

Rakshak - A Rescue Bot

Robotics is the field of designing and innovation that assumes a vital part in making our lives simpler to perform different undertakings. The primary point of the venture is to outline and build up, a sensor based mechanical arm which is controlled by human hand. The venture manages controlling a servo mechanical arm with the assistance of movement detecting innovation by Flex sensor and 3-hub accelerometer. The pick and place operation of the mechanical arm can be controlled utilizing Arduino. This framework can be utilized as a part of enterprises, dangerous conditions, biomedical surgeries and different applications

Digital Library of IIITM-K – Experiences of Next Generation resource centre

Digital Library has many features that make it distinct from traditional libraries. These features make it an excellent medium to address information and interaction services related to quality of education, and management of learning environments. While the paper libraries have become very expensive and are the prerogative of only a few well endowed institutions, Digital Libraries make these services and more at affordable costs. This will remove the digital divide between developed and developing nations in long run. Transversal E-Networks [TEN] a company under incubation at IIITM-K has developed an academic aggregation server concept in which several academic functions such as Course Management, Authoring, and collaborative group-work are built around their unique metadata standards compliant Digital Library implementation. This server called “ACADO” is being field-tested as central information server for Indian Institute of Information Technology – Kerala. The server has more than proven its effectiveness in increasing the productivity and quality of academic collaboration, management of learning environment and research in the institution. The same server can network itself with similar servers in other institutions and form as Information, Knowledge or Educational Grids across the different Digital Library spaces

Pan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas

Although theMYConcogene has been implicated incancer, a systematic assessment of alterations ofMYC, related transcription factors, and co-regulatoryproteins, forming the proximal MYC network (PMN),across human cancers is lacking. Using computa-tional approaches, we define genomic and proteo-mic features associated with MYC and the PMNacross the 33 cancers of The Cancer Genome Atlas.Pan-cancer, 28% of all samples had at least one ofthe MYC paralogs amplified. In contrast, the MYCantagonists MGA and MNT were the most frequentlymutated or deleted members, proposing a roleas tumor suppressors.MYCalterations were mutu-ally exclusive withPIK3CA,PTEN,APC,orBRAFalterations, suggesting that MYC is a distinct onco-genic driver. Expression analysis revealed MYC-associated pathways in tumor subtypes, such asimmune response and growth factor signaling; chro-matin, translation, and DNA replication/repair wereconserved pan-cancer. This analysis reveals insightsinto MYC biology and is a reference for biomarkersand therapeutics for cancers with alterations ofMYC or the PMN

Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context

Long noncoding RNAs (lncRNAs) are commonly dys-regulated in tumors, but only a handful are known toplay pathophysiological roles in cancer. We inferredlncRNAs that dysregulate cancer pathways, onco-genes, and tumor suppressors (cancer genes) bymodeling their effects on the activity of transcriptionfactors, RNA-binding proteins, and microRNAs in5,185 TCGA tumors and 1,019 ENCODE assays.Our predictions included hundreds of candidateonco- and tumor-suppressor lncRNAs (cancerlncRNAs) whose somatic alterations account for thedysregulation of dozens of cancer genes and path-ways in each of 14 tumor contexts. To demonstrateproof of concept, we showed that perturbations tar-geting OIP5-AS1 (an inferred tumor suppressor) andTUG1 and WT1-AS (inferred onco-lncRNAs) dysre-gulated cancer genes and altered proliferation ofbreast and gynecologic cancer cells. Our analysis in-dicates that, although most lncRNAs are dysregu-lated in a tumor-specific manner, some, includingOIP5-AS1, TUG1, NEAT1, MEG3, and TSIX, synergis-tically dysregulate cancer pathways in multiple tumorcontexts

Genomic, Pathway Network, and Immunologic Features Distinguishing Squamous Carcinomas

This integrated, multiplatform PanCancer Atlas study co-mapped and identified distinguishing molecular features of squamous cell carcinomas (SCCs) from five sites associated with smokin

Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images

Beyond sample curation and basic pathologic characterization, the digitized H&E-stained images of TCGA samples remain underutilized. To highlight this resource, we present mappings of tumorinfiltrating lymphocytes (TILs) based on H&E images from 13 TCGA tumor types. These TIL maps are derived through computational staining using a convolutional neural network trained to classify patches of images. Affinity propagation revealed local spatial structure in TIL patterns and correlation with overall survival. TIL map structural patterns were grouped using standard histopathological parameters. These patterns are enriched in particular T cell subpopulations derived from molecular measures. TIL densities and spatial structure were differentially enriched among tumor types, immune subtypes, and tumor molecular subtypes, implying that spatial infiltrate state could reflect particular tumor cell aberration states. Obtaining spatial lymphocytic patterns linked to the rich genomic characterization of TCGA samples demonstrates one use for the TCGA image archives with insights into the tumor-immune microenvironment