Automation boosting the Pharmaceutical Industry

24/06/2024 20mins
Phani Kumar S


Pharmaceutical companies have been striving for precision and accuracy in medicine and drug discovery at all times. Now this area is witnessing rapid advancements through laboratory automation. Let us examine some of the key drivers accelerating toward automated laboratory environments.

Companies are struggling to succeed in guaranteeing that experiments are being executed with pinpoint precision every time. To resolve this issue, they are looking for automation of repeated tasks for the assurance of increased accuracy and repeatability. By eliminating the risk of human error, lab automation provides the reproducibility that researchers strive for, and can thus speed up the time to market their products. And this will be a trend that is set to follow.

The ability to repeat tasks with precision is what companies will gain out of automation. Using automation tools, researchers can spend more time on other tasks, like research, analysis and development by automating repetitive and tedious tasks. They can spend more time in discoveries that are meant for advancing the future of medicine and science in general. Some of the automation tools are not just any fancy tool to own but are also becoming critical to drug development and research.

Automation tools for labs such as Andrew, not only aid in furthering innovation but goes a step further in aiding the study of DNA sequencing, proteomics (the large-scale study of a set of proteins produced in an organism) and cell biology. With tools giving accuracy, researchers can not only save on time but also achieve high-level accuracy.

Andrew was designed for scientists and researchers to be used as an easy to employ tool. Andrew doesn’t require any special training to operate its role. The tool is relatively simple to learn and implement with top-notch precision capabilities, Andrew provides users with incomparable benefits.

Automation will change the way people will perform. But robots can not completely replace the human brain which is essential in furthering new concepts. Automation can allow in aiding researchers to do their job better with increased accuracy and precision giving them time to concentrate on more valuable tasks.

More and more companies will begin to implement automated tools into their daily lives, providing more advanced technology and a growing competitive atmosphere in finding the next best medical cure.

In the US the Food and Drug Administration (FDA) a federal agency, has regulations put in place for pharmaceutical companies to follow before drugs can be certified for public consumption. The researchers start with the drug development after they gain new insights into the disease they are looking to focus on and the chemicals that should be targeted. Before it reaches humans for consumption they move to the preclinical research phase to test the toxicity of the drug and ensures its safety.

The preclinical data from the largest contributors to clinical test failures. The lack of reproducibility in this stage of the development process creates a lot of variability and uncertainty in the data produced, which shows it can not be trusted. When preclinical data has been unproven through reproducibility, it can be flawed.

Even if the data is flawed due to a lack of reproducibility, drugs can find a way into usability based on clinical trials. During this phase, it will eventually become clear that the preliminary test data was inaccurate, and the entire process will need to be scrapped. This can cost drug developers a great deal of money which can run into billions depending on the phase the flaws are identified. This is one area where automation tools can help.

 In spite of some prevalent misconceptions, automation tools help save on time and money. With robots performing like human hands, the process of getting a new drug into the market has significantly improved. It not only ensures accuracy and repeatability across multiple trials but also saves on additional expenditures.


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