Precision Medicine offers breakthroughs based on the biological, environmental and behavioral influences of diseases that otherwise would have no means of prevention or effective treatments. This emerging approach takes into account the variability of genes, environment, and lifestyle for each person
For precision medicine to work, sensitive medical records need to be securely stored where appropriate medical professionals can access them. This is especially true for collaboration between institutions which requires a high level of genomic privacy while allowing users to also interact with sensitive data.
Trusted computing platforms are a necessity for precision medicine to progress even further. Studies show that 96% of genetic variants predicted to cause serious medical conditions are rare. Collaboration and the data driving advanced medical research will produce faster and more accurate results.
Genomic Sequencing Data Management
More practitioners and researchers are using this powerful tool. Next-generation sequencing makes it possible to sequence large amounts of DNA in the matter of days or a few weeks. Storage is only part of the problem. Computing requirements for acquiring, distributing, and analyzing genomics data are even more demanding.
Most medical treatments are designed for a “one-size-fits-all-approach,” leaving some patients at a loss for special situations that require customized treatment plans.
Precision medicine aims to change this by giving clinicians tools to better understand the complexities of a patient’s health and condition.
Advances in precision medicine have already led to powerful new discoveries and new treatments that are tailored to a person’s genetic makeup, or the genetic profile of a tumor.
Trusted computing platforms are a necessity for precision medicine to progress even further.
Medical mobile apps will be an essential part of the precision medicine ecosystem and must be secured against unauthroized tampering.
This is especially true for collaboration between institutions which require a high level of genomic privacy while allowing users to also interact with sensitive data.
In many cases, genomic data is subject to strict regulations which need to be followed by institutions and their security platforms.