BIOTECH TRENDS THAT YOU NEED TO KNOW IN 2023 - 2030- PART 1

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1. IMPACT OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN BIOTECHNOLOGY



Artificial Intelligence and Machine Learning are booming in recent days, which is creating an impact in Biotechnology too. AI & ML  have revolutionized the field of biotech by enabling us to analyze and interpret large amounts of Biological data at a much faster  rate than before. This has resulted in the development of new Drugs, more accurate diagnosis and also in personalized treatment. AI & ML are being used in
  • Drug discovery & Designing in Silico Medicine
  • It is also  being used to predict Disease Outbreaks and the spread of Infectious Diseases [E.g.:- In COVID 19]
It is also being used in Medical Imaging and diagnosis to Improve Accuracy and Speed.

2. APTAMER TECHNOLOGY

Aptamers are short Nucleic Acid molecules that can bind to specific targets such as proteins or cells, with high affinity and specificity. Depending on this role, we can utilize these aptamers for diverse application such as Sensing, Therapeutics,Diagnostic,Food Technology, Drug delivery, and bioimaging etc.,
Here are the few Examples how we can use Aptamer Technology : -

  • Aptamers are being used to deliver drugs directly to the cancer cells thereby minimizing the impact on the healthy cells.
  • Aptamers are also used as a Biosensors to detect pathogens and other biological molecules.
  • Aptamers are also been Developed as Therapeutics to treat a variety of diseases, including cancer and autoimmune diseases
There are several other Aptamers which are in clinical trial and also there are several Aptamer based diagnostic product Available in the market

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