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Robotic devices can now conduct processes like High-Throughput Screening (HTS), Nuclear Magnetic Resonance (NMR), mass spectrometry, cell culture, and High-Performance Liquid Chromatography (HPLC).
FREMONT, CA: Robots and robotics have gained more popularity after the arrival of the COVID-19 crisis. The adoption of robotics in pharmaceuticals and drug development is projected to rise from 2.05 billion dollars in 2019 to 4.87 billion dollars in 2023, increasing at CAGR by 18.9 percent.
One biotechnology firm building an end-to-end drug development pipeline leveraging next-generation artificial intelligence has announced a collaboration with one of the world's first fully automated drug discovery platform. This collaboration aimed to identify, synthesize, and profile a range of COVID-19 inhibitors. The pharmaceutical industry is rapidly using robots to simplify complex procedures in the production of drugs. That includes drug monitoring, anti-counterfeiting, and manufacturing activities. Along with machine learning, and artificial intelligence, robotics will serve to speed up the discovery of drugs.
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Besides, most experiments conducted in drug testing and development laboratories usually involve rotary activities such as moving fluids and shifting them to test tubes. One pharmaceutical corporation states that its earlier hand-picked samples had a possible output of about 30-40 per day, where, after upgrading to automated robotic systems, the output rose to hundreds of thousands per day. Robotic devices can now conduct processes like High-Throughput Screening (HTS), Nuclear Magnetic Resonance (NMR), mass spectrometry, cell culture, and High-Performance Liquid Chromatography (HPLC). In this manner, robots make the best choice for such functions since they are easy to automate and have a high degree of precision and continuity.
The most significant advantage of using this technology is that robotics minimizes the chance of human infection. Thanks to their ability to handle various items needing continuous changes, robots are used as integrators and tool changers for configured reactions. Moreover, they are used (for example, barcode scanning bots) to detect counterfeit narcotics and medicines. In comparison, the laboratory automation system scale will be minimized with the advent of robotics as guarding is avoided.