Designing and Developing New Drugs and Therapies
Finding the
next drug requires access to extensive data to understand how disease and
infection are controlled at the molecular and physiological level and to target
specific entities based on this knowledge.
Measuring human
genetic variations and individual responses to drugs is an extraordinarily
delicate task that requires the use of complex information management systems.
Efficient
integration and management of data from a wide range of sources – such as
electronic data capture systems, in-house clinical data management systems,
labs and contract research organizations, while leveraging investments in
existing systems and resources is critical.
Some approaches
involving the use of a large central data warehouse slow analysis, are
cumbersome for researchers, and are expensive to build and maintain. Data marts
containing extracted, transformed, and consolidated information from the
various databases may exclude valuable data. This could impede innovation.
Finally, researchers are often unable to gain insight from ad-hoc queries from
standard data marts.
Pattern
discovery and large-scale data mining applications facilitate statistical
analyses across large patient populations, and researchers have begun to create
desktop tools to translate standard SQL queries into the language underlying
each data source, and to combine the results into a merged answer. Such
federated approaches are, however, expensive to deploy, often requiring
significant customization to build “wrappers”.
The QRD Solution: Cross-Database Queries on a Desktop or
Laptop
QD Technology takes advantage of the increased power available on a researcher’s desktop with QRD. QRD compresses the genotype, phenotype, and clinical databases and securely delivers them to a researcher’s desktop or laptop. Because QRD balances compression with query performance, researchers can then quickly and conveniently discover scientific insights by getting answers to ad-hoc questions as these occur to them through standard SQL queries. They are able to do this up to 10 times faster and to do it when and where they wish without decompressing the data. Since QRD enables this process without disrupting the company’s IT operation, it allows researchers to gain insights and to innovate without the burden of cumbersome IT challenges.
In a regulated
environment, full compliance with the 21 CFR Part 11 regulation is a
requirement. QD Technology produces a
read-only data repository that allows ready compliance. It also affords the researcher with
information on the laptop allowing direct access too data for analysis without
cumbersome network restrictions.
Breakthrough therapies resulting from a researcher’s innovation in information-based medicine could be priceless for patients, hospitals, doctors and, in fact, for all of humanity.
Complex Drug Research
Before and After QRD
QRD
provides the ability to
·
Speed query response
up to 10 times faster.
·
Compress and deliver
multiple databases to PCs for use when the PCs are offline and disconnected
from the server
·
Allow researchers to
get answers to ad-hoc questions without the burden of cumbersome IT challenges
and without disrupting the company’s IT operations.
Before - Complex Drug Research before QRD
Outcome Ad-hoc queries are: ·
Slow
because they access large central data warehouses ·
Impeded
by summaries that exclude valuable data ·
Frequently
not available because of IT restrictions.
After – Complex Drug Research after QRD
Outcome Researchers are able to get responses to ad-hoc questions through
standard SQL queries: ·
Up to
10 times faster ·
When
and where they wish ·
Without
disrupting the company’s IT operations.
