“Big Data” is no longer a concept, it’s a reality. Over the past decade, the life sciences sector has been revolutionized by big data, and the revolution isn’t over yet. From the way doctors interact with patients to the way researchers utilize public information, data is the key to almost every advancement on the life sciences horizon.
The Shift from Old Data to New Data
Data has long been the backbone of medicine. Today’s data, though, is digitized. It’s wide-ranging, it’s analyzable, and in some cases, it’s even automated. Whereas just a few years ago data was seen as something proprietary, something exclusive, the new data of today offers so many possibilities because it’s open and accessible to all.
One of the biggest hurdles for big data to overcome is organization. With such sheer volume of data being collected from patients and studies every day, how can it most efficiently be stored? What’s the best way to disseminate it? What should be private, and what should be visible to everyone? There are still a lot of yet-unanswered questions in the world of big data with no clear resolutions in sight.
Insights Lead to Breakthroughs
Data is, at its core, information, and the life sciences sector is built around the idea of turning information into actionable treatments and medications. By curating and indexing relevant data from all over the globe, scientists are now able to make unprecedented strides towards breakthrough developments in everything from cancer research to mental illness.
Long-term, AIs will have to become more and more precise when it comes to extracting which data is relevant for which purpose; the volume of data that exists today has already made it all but impossible for humans (or even regular computer programs) to efficiently and effectively parse necessary information. In this way the life sciences sector will grow hand-in-hand alongside developments in high-technology.
Data as a Starting Point
Perhaps the most visible – and exciting – sector influenced by the collection of data is that of personalized medicine. Genetic data culled from thousands upon thousands of samples, for example, gives researchers the tools they need to identify specific trends or risk-factors across a population. These insights can then be used on an incredibly granular level to provide advanced care to patients as individuals.
Data is the foundation of a number of relatively new scientific disciplines such as proteomics. An offshoot of genomics, proteomics seeks to better understand how the expression of proteins affect our biological processes. It’s a field in which breakthroughs wouldn’t be possible without the tools and technologies that produce continuous, reliable samples and thus a source of mineable data.
IMCS is a leading biotechnology firm advancing the science of proteomics. Our IMCStips are based on patented, dispersive pipette extraction technology to enable rapid purification of biomolecules from complex samples. Applications range from antibody enrichment to recombinant protein purification. The platform is fully integrated with Hamilton Robotics for high-throughput and consistent performance. This provides researchers with a variety of tools that enhance downstream testing in the proteomics sector.