How today's biotechnology is modifying the future

Munis Dundar, Ruslan Bayramov, Kevan Gartland

Research output: Contribution to conferenceAbstractpeer-review

Abstract


Currently we are witnessing how the future is taking form through the descriptions from sci-fi books and movies, today’s developments throughout biotechnology is a messenger of this evolution. Today we can edit genomes, use artificial intelligence (AI) to solve problems more efficiently and quickly, obtain new products via synthetic biology, prevent diseases with new reproductive technologies etc. AI has already been tested in different fields of biotechnology. There are many laboratory scale studies with positive results and it is time for experimenting with large industrial scale bioreactors, where many limitations make mechanistic models difficult to formulate and apply. The AI methods including artificial neural networks, fuzzy logic, genetic algorithms, expert systems etc. expected to be widely used in near future.
Although, there were previously genome editing tools such as ZFNs and TALENs current CRISPR/Cas9 method seems to be more precise and efficient. We already see the benefits of these tools; in scientific research, medicine and agriculture.
Next Generation Sequencing platforms evolve very rapidly in hardware and in
software. Today long reads and single DNA molecule sequencing methods with reliable results are a priority of developers. Also, the efforts regarding to lower the price of whole genome and exome sequencing is showing its favourable outcome. This issue is very important in the development of the preventive, predictive and precision medicine.
International associations such as the European Biotechnology Thematic Network
Association have huge responsibility in making available these new developments for everyone, be the voice and platform for scientists and keeping updated specialists and students in their specific fields.

Original languageEnglish
Publication statusPublished - Nov 2018

Keywords

  • biotechnology
  • genome editing
  • synthetic biology
  • NGS
  • EBTNA

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