The recent paradigm shift to novel innovations in the fields of bioengineering and biomedical informatics inter-twins a plethora of synergistic processes leading to a new field in human health and disease prevention. Tapping of ethnomedical resources for drug discovery, both in the pharma and the biotechnology landscape play a pivotal role in identifying the lead molecules using various sources. The objective of this conference is to weave in an interface between the academic research and the various facets of bioengineering. The conference will seek synergy by providing discussion forum for the researchers scientists, educators and students about the latest ideas and realizations in the foundations, theory, models and applications for interdisciplinary and multidisciplinary research encompassing disciplines of  Biotechnology, Bioinformatics, computer science, statistics, biology, and biomedicine. 

Bioengineering and Biomedical informatics are the major two areas of focus in this conference. Special emphasis will be given to studying ethnomedical aspect to explore the possibility of many natural resource based medicine for human health. 

Aspects of Bioengineering that will be covered will be amalgamated to use of biomedical informatics such as bioinformatics and systems biology with an objective to throw light on recent concepts such as

  • New computational techniques data mining; text analysis; pattern recognition; data integration;  genomics and evolution.
  • Biomedicine and biomedical engineering - Such as tissue engineering - scaffold growth of cells for transplant.
  • Next generation sequencing data; Protein and RNA structure; Protein function and proteomics of ethno origin; Medical informatics and translational bioinformatics.
  • Computational systems biology; Modelling and simulation and their application in Bioscience domain,  Drug discovery, Structural biology based drug discovery.
  • A special focus will be given to natural resources and focus on ethno-medical aspects of maintenance and restoration of human health. 
  • Systems biology approach to disease prevention an in silico study of drug interaction and ADME aspects.