Building Better Databases Could Speed ​​Up Advances In Medicine

The Covid-19 pandemic has undeniably pushed the medicine to make enormous progress in record time. The proof: if it took more than 20 years for this science to find a vaccine against polio, it only neededone year about to develop a Coronavirus vaccine

You should know that if medicine has been able to progress so quickly in recent years, it is in part thanks to thedata access. As a result, experts believe that today, with improvements in this area, researchers could still do more advances.

For Bill Lynch (head of strategic alliances for life sciences at Pure Storage), in order to advance medicine even faster, scientists should thus have liquid data and a more modern data infrastructure.

Liquid data: one of the keys to accelerating medical discoveries

According to Bill Lynch, if researchers could have a even faster and easier access data (patient records, imaging, clinical trial results, etc.), they could therefore make more discoveries. Unfortunately, for now, the finding is as follows: scientists are not there yet. For good reason, the infrastructures that exist to date still do not allow them to follow the exponential growth in data life sciences. In addition, at the same time, analyzing the data already available takes them even further. too much time, for lack of sufficient computing power.

According to Bill Lynch, nowadays, it would be necessary to improve databases. The ideal would then be to have liquid data and a modern data infrastructure that would reinvent both the role of information and the way it would be used. He also underlined the fact that the new infrastructures created should be adapted to the volume of data already available in addition to being able to store more and more.

Still according to the expert, it would also be necessary that these new data platforms be stretchable. What is more, they should be easy to use, guarantee a capacity of fast data loading and ensure the delivery of consistent performance and multidimensional. They should also have a ability to grow on demand, especially since at present, machine learning algorithms constantly assimilate drug candidates, patient records and sequencing.

Better artificial intelligence could also help

To allow medicine to progress faster, Bill Lynch further explained that apart from the creation of modern data platforms, agile and scalable, the’AI also needed to be improved. Thanks to a Better performing AI, it would indeed become easier and faster to extract information from thousands of articles in scientific journals. The 3D modeling and the high throughput screening could also be done more easily, just like the genomic sequencing. If this were done, then the duration of the researchers’ analyzes could be reduced to a few minutes instead of days or weeks.

In short, Bill Lynch therefore considers that a modern data experience could speed up the deadline for scientific research. According to him, liquid data and a modern data infrastructure will be the keys to the quest andlarge-scale advancement personalized medicine aided by genomics and theartificial intelligence.

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