BRG attended a round table discussion with Shri. Jayaprakash former IT Head AIMS Kochi, on 10-05-2019. This is the second meeting organized as part of our “Engineering Oncology” theme which launched last year to spearhead collaborative work between the two institutes. The discussion focused on data mining initiatives in Electronic Medical Records (EMR) and scope of combined works in the area of health informatics systems. Dr K. A. Abdual Nazeer, Dr Jayaraj P B, Manu Madhavan and Reshma O K represented BRG in the meeting.
Mr. Sunil Kumar P V, gave Ph.D open presentation of his research work “Identification of LncRNA Characteristics and Associations Using HIN Based Techniques”, on 08-05-2019 (Wednesday). The research work is guided by Dr. Gopakumar G, Assistant Professor, CSED, NITC.
BRG visited MVR Cancer Center and Research Institute, Calicut on November 21, 2018. The group members, Sunil, Visakh, Shamna, Sankaranarayanan, Manu, Athira, and Jasila, discussed the prospective areas for future collaborations with the experts.
Mr. Nidheesh N, gave Ph.D open presentation of his research work “Deterministic Clustering Methods for Cancer Subtype Prediction and Discovery from Genomic Data”, on 15-10-2018 (Thursday). The research work is guided by Dr. K . A. Abdula Nazeer, Professor, CSED, NITC.
Mr. Visakh R, gave Ph.D open presentation of his research work “Revealing the Cancer Epigenome: Computational Identification of Epigenetic Signatures from Biological Networks”, on 26-09-2018 (Wednesday).The research work is guided by Dr. K . A. Abdula Nazeer, Professor, CSED, NITC.
With the explosion of knowledge in biomedical domain, there is a veritable exigency for efficient methodologies to process, formulate, analyze and interpret voluminous data. Biomedical literature or publications are the most comprehensive resource of the knowledge amassed in biomedical research. Contextually, biomedical text mining and automated knowledge retrieval systems draw immense research attention these days. The rapid extraction of useful knowledge from literature through text mining can impart game-changing effects in disease diagnosis and drug discovery.
This course is organized in two modules that should be taken together. Module A covers understanding computational aspects of biomedical text mining and familiarization of tools and techniques for it. Module B includes an in-depth exploration of algorithms for biomedical text mining and interpretation of knowledge acquired through proper visualization.
Course participants will learn these topics through lectures and hands-on experiments. Also case studies and assignments will be shared to stimulate research motivation of participants.
Last Date for Registration: Sep 3, 2018.
Prof. Mathew J Palakal
Professor of Informatics &Senior Executive Associate Dean
Indiana University-Purdue University
Indianapolis (IUPUI), USA
Department of Computer Science and Engineering,
National Institute of Technology Calicut
Dr. Abdul Nazeer K A and Dr. Gopakumar G