Modern biological sciences are becoming more and more multidisciplinary. At the same time, theoretical and computational approaches gain in reliability and their field of application widens. The molecular methods are widely used in the diagnosis, prevention, and control of infectious diseases with regard to the innovation of molecular techniques.

Recent advances made in the development of genetic and genomic high-throughput platforms for the use in gene expression and regulation analysis have paved the way for the discovery of promising potential therapies. Next-generation DNA and RNA sequencing, micro-droplet digital PCR and microarray-based CGH are amongst other useful tools which have arrived on the front line of recent genomic research. In addition, bioinformatic analysis tools of genome annotation and comparison, including genome-wide association studies (GWAS), have aided in data analysis for interpreting genetic variants at the individual level. This has unlocked new possibilities for real advances towards personalized medicine for the highly-targeted treatment of disease. Each of these high-throughput genomic and bioinformatic tools has its own limitations and hence further efforts are required to overcome these limitations.

Interestingly, despite continuous progress in developing advanced genomic research and diagnostic tools, conventional options are still widely used and continue to contribute to the knowledge of the field. These include, but are not limited to, real- and quantitative PCR, Sanger sequencing, immunohistochemistry, and Fluorescent in situ hybridization (FISH).

This Life science track (Advances in Molecular medicine ) of IEEE R10 HTC-2023 aims at building synergy between Bioinformatics and Bioengineering, two complementary disciplines that hold great promise for the advancement of multidisciplinary research and development in complex medical and biological systems, public health, drug design etc. Research and development in these two areas which is also named as Computational biology are impacting the science and technology in fields of medicine by advancing fundamental concepts in molecular biology, by helping us understand living organisms at multiple levels, by improving tools and techniques for the detection, prevention and treatment of diseases. The Advances in Molecular Medicine is one of such special session of R10 IEEE HTC-2023 which aims to provide a common platform for the cross fertilization of ideas, and for shaping knowledge and scientific achievements by bridging these two very important and complementary disciplines of Engineering and Life Sciences into an interactive and attractive forum.

Host: Marwadi University

From its inception in 2008, Marwadi Education Foundation Group of Institutions has been dedicated to expanding and sharing knowledge, inspiring innovation, and preserving cultural and scientific information for future generations. The Marwadi Education Foundation’s Group of Institutions is accredited with NAAC A+ Grade. Marwadi University was established under the Gujarat Universities Act (Act 9 of 2016) on 9th May 2016. Marwadi University is promoted by Marwadi Shares and Finance Limited (MSFL) – a major stock broking company in India, & Chandarana Intermediaries Brokers Pvt Ltd (CIBPL) – a leading firm dealing in technical and arbitrage trading in Indian Stock Markets.

Vision of Marwadi University is To foster an environment that empowers people, organisations and societies through education, ideas, research and training. The campus boasts of world-class facilities such as Wi-Fi, Networked, ICT enabled, high speed Internet, Hostels with all the modern facilities, Theater Type, Interactive, ICT enable world-class teaching-learning Infrastructure, lab Equipment from leading multinational companies like Bosch, IBM, and many more.

Marwadi University offers programmes at UG, PG, and doctoral levels in various disciplines. Furthermore, the University also offers certificate courses.

About Bioinformatics Department

The Department offers an undergraduate program in Bioinformatics Engineering. From this course students can learn about modern and advanced biological data using computer science and information technology, as well as artificial intelligence and machine learning. Through this course, the students can get detailed knowledge on different advanced genomic, transcriptomic, proteomic, and metabolomic data using different biological sources for the betterment of society with the aid of computer science. The course is perfect for those students who have an interest in bioinformatics, biotechnology, medical devices, artificial intelligence, machine learning, cancer biology, recombinant DNA technology, etc. Students will have the chance to learn the algorithms used for genomic data analysis. The department also has a remarkable computer facility.

Who can attend?

• Students, Researchers and Professors in Biotechnology, Biochemistry, Microbiology and other areas of life sciences.
• Clinicians working closely with Human Molecular Diagnostics and Precision Medicine.
• Manufacturers of Molecular diagnostics and Precision Medicine products and service providers
• Lab technicians, Microbiologist, Molecular Biologists, Researchers from Diagnostic laboratories.

Conference inclusions

• Invited plenary lectures
• Oral presentations
• Poster presentations
• Networking meetings
• Exhibition kiosk
• Conference gala dinner

Conference Tracks

Microbiome is the aggregate genomes of the microbes in a given environment. The gut microbiota is a diverse and dynamic collection of several microorganisms that are found in the human gastrointestinal (GI) tract. These microbes play a significant role in the host`s body during homeostasis and disease. Many aspects of human metabolism and health including immunological, metabolic, and neurobehavioral features, are influenced by gut microorganisms. Several approaches based on Systems biology involving next-generation ‘omics’ technologies can now describe the gut microbiome at a detailed genetic and functional (transcriptomic, proteomic, and metabolic) level. This in turn paves the way for new insights into the importance of the gut microbiome to human health. This has shown the significant correlation of the gut microbiome in the pathogenesis of a variety of systemic diseases namely obesity, cardiovascular disease and intestinal disorders. Owing to all these reasons, understanding microbiome activity becomes vital for developing personalised healthcare strategies and providing new drug development targets.

Clinical Genomics and Bioinformatics

• Genomics and Proteomics
• Simulation and Modelling
• Immunoinformatics
• Cardioinformatics
• Chemoinformatics
• Structural Bioinformatics
• Computational Intelligence
• Transcriptomics
• Metabolomics
• Next generation sequencing
• Computational molecular system
• System biology
• Molecular docking

Gut Microbiome using Bioinformatics and AI

• Nutrition and its effects on the human microbiome
• Microbiota and Cancer prevention and therapy
• Biomarker discovery for microbiome-related diseases
• Type 1 diabetes, obesity, and the gut microbiome
• Regulatory guidelines for microbiome-based therapeutics.
• The infant gut microbiome
• Bioinformatics tools and AI in the gut microbiome

Track Chair