2nd to 3rd February, 2023 at NIMHANS Convention Center, Bengaluru

Genomics India Conference (GIC) is a 2 day mega event that celebrates genomics and its applications across multiple disciplines, including diagnostics, agriculture, pharma, disease surveillance, and many more.
Why should you attend this extravaganza ?
• Learn about the newest trends
• It’s all about networking
• Boost your learning, knowledge, and skills
• Upgrade your CV
GIC 2023 will feature 14 sessions which will be graced by global industry experts to acquaint you with the latest trends in the genomics industry.
Scheduled sessions :
• Applied genomics – The majority of biological disciplines are utilizing genomics; applications include personalized medicine, individual disease risk assessment, investigation of drug interactions prior to clinical trials, and field rather than laboratory study of microorganisms.
• Better crops – The ability to sequence diverse genomes will likely increase with advances in genome sequencing technology, which will help us better understand the diversity of genome sizes. Plant breeding and plant selection are made easy, thanks to the accessibility of plant genomes, which is crucial for sustaining long-term food security.
• Biopharma – The use of living organisms or their byproducts, extracts, or other components in bio pharmaceutical products is used to treat, cure, or prevent disease.
• Genomics in clinical research – With diverse genomics technologies being used to comprehend how both common and rare genetic factors contribute to the emergence of common diseases like cancer.
• Genomics in research -The structure and function of genomes are sequenced, assembled, and examined using bio-informatics, recombinant DNA, and DNA sequencing techniques.
• Infectious diseases – Genomics technologies are crucial for reducing the threat of infectious diseases. Rapid and precise microbial DNA analysis allows for the quick identification of emerging threats and outbreaks as well as insights into how and where infections spread.
• Inherited diseases – Rare diseases (RDs) are clinical conditions that, in comparison to other diseases, only affect a small percentage of the general population. They require prompt diagnosis and therapeutic management due to a lack of adequate clinical information and trustworthy epidemiological data.
• Microbiomes – It is fascinating to consider how human genetic factors affect the composition of the microbiome because of the microbiome’s role in health and disease as well as the complexity of its composition and function.
• Precision medicine and diagnostics – Using tumour marker testing to assist in the diagnosis of cancer or using targeted therapies to treat particular cancer cell types. In order to diagnose a patient, plan a course of treatment, evaluate the effectiveness of the course of treatment, or determine a prognosis, precision medicine uses specific information about the patient’s tumour.
• Predictive health and AI – artificial intelligence techniques are used to predict diseases. While doctors and testing facilities are needed for medical diagnosis, artificial intelligence-based predictive systems are used to identify diseases before they manifest.
• Surveillance and pandemics – Monitoring disease burden over time, detecting changes in disease occurrence (such as outbreaks), identifying risk factors for the disease and populations most at risk, and directing immediate public health actions for specific patients or the community can all be done with the help of surveillance systems.
• Understanding cells to ecosystems – Cell biologists in the fields of animal, plant, and medical science will be able to create new vaccines, more potent medications, plants with improved qualities, and through increased knowledge, a better understanding of how all living things live by understanding how cells function in both healthy and diseased states.
Don’t pass up this chance to learn, develop, and connect with others in your field.
Team GIC looks forward to hosting you at the Genomics India Conference!

Gubba Group

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