MarkLogic Launches Pharma Research
May 20, 2019
MarkLogic Pharma Research Hub aims to enable pharmaceutical companies to
lower drug trial costs and accelerate research. This is achieved by
helping researchers quickly and easily find, synthesize and share
high-quality data – including, genetic, proteomic, drug, textual, binary
and clinical trial data – within a single cloud service.
The MarkLogic Pharma Research Hub uses machine learning and other
advanced technologies including semantics, fuzzy matching, relevance
ranking and rich metadata to manage, organize and retrieve information.
As a fully managed cloud service, the Pharma Research Hub can be set up
in minutes and ingests data 10x faster than custom-developed solutions –
with zero IT management burden.
“Researchers using legacy technology only access slivers of the data
around them, increasing the likelihood of errors and costing valuable
time that can equate to hundreds of millions of lost dollars and, more
importantly, lost opportunities to change lives because drugs take so
long to develop,” said Bill Fox, Vice President of Vertical Strategy
Group and Chief Strategy Officer of Healthcare and Life Sciences at
MarkLogic. “We offer researchers a cloud-based service to easily bring
together massive amounts of data, in its original form, and understand
the relationships between all that data, so they can use that data to
discover life-changing drugs faster.”
By working with five of the largest global pharmaceutical companies
and other leaders in the healthcare ecosystem, MarkLogic has long used
its Data Hub technology to help solve pharmaceutical companies’ business
and data challenges by:
Enabling search and visualization of relationships: View, navigate,
and search the graph of connections in data by leveraging all inherent
relationships. Visualizing these relationships in data, such as how a
researcher is connected to institutions and peers, or how a gene, drug
target and metabolic pathway are related, can lead to faster
Leveraging machine learning: Users
get better search results on higher quality data. MarkLogic’s Smart
Mastering feature uses machine learning to find and consolidate related
and duplicate items and to construct a knowledge graph of all data. Data
quality rules are applied as data is loaded. This high-quality, mastered
data dramatically improves search results and enables better downstream
bioinformatics and AI analysis.
Loading any pharma data set: The
Pharma Research Hub allows loading of any pharmaceutical information –
publications, authors, drugs, genes and more – so companies can quickly
access consolidated information to perform research.
to advances in technology that solve many data analytics challenges
while also meeting the stringent regulatory requirements of the health
industry, we expect substantial data management solution adoption in
life science research R&D,” said Alan Louie, Life Sciences Research
Director at IDC. “This new breed of industry-centric technology promises
significant near-term value while also creating new best practices that
will drive the industry forward for decades to come.”
The Pharma Research Hub standardizes and extends the best practices from
multiple customers. The underlying MarkLogic Data Hub Platform has been
used to run some of the most complex businesses for nearly two decades.
The platform is built for Petabytes but can also be cost-effectively
scoped to small data sets. It is governed and secure from the beginning
unlike data stored in a Hadoop® data lake, which can take years to build
while the business waits for results.