10 Innovative Science Gateway Technologies to Watch in 2018
Gateway technologies are poised to reshape the way we think
about and access scientific data. They are a key enabler of the ‘digital
transformation’ of science, enabling researchers, clinicians and patients to
have unprecedented levels of insights from their data and clinical records.
Gateway technologies are designed to integrate with legacy
systems and work seamlessly with them. They are not designed to replace
existing technologies but to be complementary. This will help researchers
achieve a much richer level of insight from their data and clinical records,
making it possible to better understand, tailor and manage patient care. Here
is an overview of the most innovative gateway technologies to watch in 2018.
New ways to unlock data
There are many new ways to unlock data and make it available
for research. One of the most innovative gateway technologies is the artificial
intelligence (AI) in machine learning (ML). The AI technology can help
researchers discover patterns in data that they might not have otherwise
noticed. It can also help analyze data to make better observations about
patients.
The other innovative science gateway technology that's worth
watching is blockchain. Blockchain creates a distributed ledger that
strengthens cybersecurity, which is important when storing sensitive patient
information. It also allows researchers to conduct clinical trials and share
data with partners with more confidence, since it provides a secure way for
companies to collaborate and share information without compromising security or
confidentiality.
Machine learning
Machine learning is a subset of Artificial Intelligence that
gives machines the ability to learn independently, and provides computers with
the ability to react to new information. Machine learning algorithms allow for
predictive analytics, pattern recognition and data analysis.
Data integration
Data integration is the ability to extract data from
disparate sources and use it in a new way. Being able to consolidate data from
different sources can help organizations make better decisions, more
efficiently manage operations, and take advantage of opportunities.
Blockchain
Blockchain can be used to store and share data, without
relying on a central database. This technology is probably most famous for its
use in cryptocurrency, but it has many other applications. Blockchain is a
digital ledger which records transactions across all devices, rather than being
stored on one device. This means that information is distributed and can't be
hacked or changed by any single entity.
Internet of things (IoT)
The IoT is a network of devices that are connected to the
internet.
It’s estimated that by 2020, 20 billion devices will be
connected to the internet.
The IoT allows objects like your car, refrigerator and
coffee machine to have a 'digital brain'.
IoT devices can send data directly to cloud servers, which
makes it possible for anyone with access to the internet to track these
objects.
This information could help you understand how much
electricity your fridge uses, or how long your car has been idling.
One of the most innovative gateway technologies on this list
is IoT because it has the potential to become one of the biggest things in
2018.
Mobile health (mHealth)
One of the major innovations in mHealth is the ability to
measure and diagnose a person's health with a smartphone. This type of
technology is already widely used in clinical settings, but it is only now
beginning to be used more widely by patients and consumers.
Medical applications for smartphones are growing rapidly in
popularity because they allow for a more seamless experience between doctor and
patient. For example, doctors can prescribe medications and treatments over the
phone, which eliminates the need for patients to visit a clinic or pharmacy to
pick up their prescription. Plus, these medical apps allow people to track
their progress so they can stay updated on their recovery and how likely they
are to make a full recovery.
Biomedical data analysis
Biomedical data analysis is a gateway technology that will
allow clinicians to analyze larger and more diverse sets of data. This includes
both biomedical data, such as medical images and genomic sequences, as well as
clinical data. Biomedical data analysis tools are designed to help researchers
make sense of large volumes of complex unstructured data. They will enable
clinicians to gain insights into the fundamental mechanisms of diseases and
better manage clinical care.
0 Comments