Modernizing Clinical Trials: Digital Technologies and the Cloud
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Published by FiercePharma
thereby making data collec tion more reliable and
less reliant on manual inter vention.
Similarly, AstraZeneca
11
uses machine learning on
AWS to help automate some of the most tedious
por tions of tissue data labeling, which helped them
reduce the time their researchers spent cataloguing
samples by 50%, thereby allowing scientists to focus
more of their time on valuable research ac tivities.
WHAT DOES THE FUTURE HOLD?
Cloud-based technology can provide streamlined ways
to access, standardize, and share instrumentation data,
while offering cost-effective and powerful computation
and analytics capabilities. And as artificial intelligence
and machine learning are fur ther incorporated into
modern research labs, additional monotonous tasks
can be offloaded from scientists to let them focus on
11 Wired Insider. "Machine Learning Is Transforming Drug
Discover y at AstraZeneca." Wired, July 2, 2019, w w w.wired.
com/brandlab/2019/07/machine -learning-is-transforming- drug-
development /.
value-added research ac tivities. Future innovations
may include:
• Use of machine learning to accelerate cataloguing,
analyze or prioritize experimental results, and
suggest a future course of ac tion.
• Expanded use of robotics and automation to allow
for batch-of-one precision medicine manufacturing.
• Digitization and data integration across entire
o r g a n i z a t i o n s t o c o n n e c t t y p i c a l l y s i l o e d
depar tments, from research to manufac turing
and commercialization.
S e a m l e s s l y i n t e g r a t i n g r e s e a r c h, f a c i l i t a t i n g
collaborations, and incorporating machine learning as
part of a 'lab of the future' will enable pharmaceutical
researcher s to advance the pace of science and
medicine daily. Changing the way data is collec ted,
stored, and shared is the clear way to move for ward
in an industr y that demands global collaboration
to power the research that can one day address
impor tant human health issues.
For over 13 years, Amazon Web Services has been the world's most comprehensive and broadly adopted
cloud platform. AWS offers a wide set of services including compute, storage, databases, analytics,
networking, machine learning, management tools, IoT, security and enterprise applications, from 69
Availability Zones within 22 geographic regions. AWS is trusted by millions of active customers around the
world—including the fastest-growing Life Science startups, largest enterprises, and leading government
agencies—to power their infrastructure, make them more agile, and lower costs.
To learn more about AWS, visit https://aws.amazon.com/health/biotech-pharma/
