Advancements in life science technologies are going to transform many aspects of the industry.
FREMONT, CA: The life sciences industry is recognized as fast-paced and competitive while sticking to the intense regulatory environment. Digital disruption will bring positive impact as advances in technologies are empowering life sciences operations globally. Below are a few industry trends that can set the stage in this transformation and allow the ability to embrace the power of disruptive digital technologies. 2020 promises to be a year of change and growth for the life sciences industry. Here are three trends to watch for in the coming year.
• DNA Sequencing
In the past few years, the total number of DNA bases sequenced has increased by more than six orders of magnitude, and this megatrend will continue. The availability of DNA sequence data is accelerating the ability to understand biological pathways and fuelling precision medicine. As such, sequence information allows cellular reprogramming. Besides, sequence information is letting entirely new fields like the microbiome and metagenomics.
• Cellular Reprogramming
Cellular reprogramming is transforming the imagination in many different industries. One key area of cellular reprogramming is Clustered Regularly Interspaced Short Palindromic Repeats. Recently, scientists have found out how to leverage that capability to make permanent modifications in all organisms' DNA. Cellular reprogramming goes beyond mere gene editing. It also includes stem cells and is a vital component of regenerative medicine. This field is poised to change life sciences, where research is advancing rapidly using stem cell technology, hybrid systems, and bionics to allow previously impossible capabilities.
• Data Science and the Internet of Things
The benefits of data analytics and device connectivity in consumer life is increasing. And now, these technologies are starting to find their way into improving day-to-day lives in the analytical and clinical laboratories. This trend is beneficial not only to science but also to the lab's economics in terms of lab productivity and increased operational efficiency. It begins with smarter instruments – devices where real-time analysis of the sample and the instrument data based on actual usage is used to enhance performance, utilization, and speed.
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