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MAJOR REPORT SAYS GRID TO SPUR PHARMA IT
IBM Business Consulting Services (BCS) launched a new industry report which
identifies the seven key information technologies which will drive innovation
and increase shareholder value in the pharmaceutical industry over the next
decade.
IBM forecasts that these seven technologies will help the pharmaceutical
industry reduce its pre-launch drug development costs to as little as $200
million (a quarter of the current average cost per drug); cut average lead
times from 12-14 years to between three-five years; dramatically increase
success rates from first human dose to market; raise the quality of
development and manufacturing processes; and allow companies to deliver bigger
shareholder returns than ever before.
The report, "Pharma 2010: Silicon Reality," maps the information technologies
which will enable pharmaceutical companies to move away from the traditional
"one-size-fits all" model of medicine toward more effective and more
profitable "targeted treatment solutions" that will include diagnostics,
drugs, devices and support services for patients with a specific disease
pathology.
"Information technology is at the heart of enabling the transformation of the
pharmaceutical industry," said Steve Arlington, global pharmaceutical industry
leader at IBM BCS. "Now is the time for the industry to capitalize on the huge
scientific achievements of the genomic era. To do that, companies need to
invest in new technologies which will truly drive breakthrough growth and help
them to differentiate themselves. The technologies identified in the Silicon
Reality report enable pharmaceutical companies to do things that were not
possible before. To put it simply, they will enable Pharma to fundamentally
change the way it does business. Companies that fail to respond to the market
conditions that are now emerging will see their shareholder value continue to
plummet."
The report notes that today the pharmaceutical industry spends circa $20
billion a year on information technology (IT), but rarely reaps the full
rewards of the investment. Companies devote most of their IT resources to
technologies that cut costs such as supply chain, transaction processing and
support services -- many of which are increasingly becoming outsourced to
external providers.
The industry is already undergoing major changes with the advent of the
molecular sciences. Genetics, genomics, proteomics will eventually enable
Pharma to define diseases more accurately and create health care packages for
patients with specific disease subtypes, rather than making one-size-fits-all
drugs for patients with similar symptoms but essentially different diseases.
Companies that learn how to make 'targeted treatment solutions,'as IBM calls
them, could multiply their shareholder value by 2010. Key to this
transformation will be information technology.
The IBM report shows how the following seven key technologies will be vital to
this transition and provide the most significant return on investment to
pharmaceutical companies over the next decade:
1. Petaflop and Grid computing give the industry access to unprecedented
levels of computing power. By 2006, a new generation of petaflop computers,
including IBM's Blue Gene, will enable large-scale biomolecular simulations,
such as protein-folding studies. Grid computing (which harnesses the idle
computing power locked in companies' desktops and servers), will enable
companies to undertake such tasks as screening for DNA sequence matches, and
analyzing sales and marketing data in real-time. Several research Grids have
already been set up, one such example being the Smallpox Research Grid, which
has screened 35 million drug candidates with processing power provided by two
million PCs from volunteers around the world.
Companies looking to put the immense power of Grid computing to work for them
should plan to attend Gt'04, May 24-26 in Philadelphia. Gt'04 -- a premiere
enterprise Grid computing conference targeting industrial and commercial users
-- will gather experts, and outline strategies and road maps for Grid
deployment. For more information, visit www.gt04.com.
2. Predictive biosimulation is the use of sophisticated computer-generated
models to simulate how a biological system works as a whole. Predictive
biosimulation enables pharmaceutical companies to significantly reduce the
number of wet lab experiments required to identify possible drug targets. 'In
silico' modeling (as opposed to "in vitro" -- in glass or "in vivo" -- in
life) also enables researchers to predict the effects of drugs on the human
body, including their efficacy and safety. Various academic institutions are
building computational models, including Indiana University's Center for Cell
and Virus Theory, which is exploring how cells react to chemical disturbances.
3. Pervasive computing -- miniaturized individual tracking devices, mobile
telecoms and wireless technologies will ultimately transform drug development
and health care delivery by facilitating the transmission and collection of
biological data on a real-time basis outside a clinical setting. That, in
turn, means it can be used to monitor patients and manage their health; to
test new drugs in totally different ways; and to deliver health care anywhere,
anytime. Several firms including Philips Medical are designing intelligent
biomedical clothing; and Bang & Olufsen has devised a "pill box" that reminds
patients when to take their medicine.
4. Smart tags or radio frequency identification (RFID) tags -- enable
physical objects to be identified at any point during manufacturing and
distribution. RFID will play a key role in eliminating typically slow and
inefficient manufacturing processes, helping pharmaceutical companies to
prepare for a future with greater numbers of more complex products produced in
smaller quantities. It will also help companies to satisfy the increasing
demands of regulatory compliance by enabling the monitoring of pharmaceutical
products at all points in the supply chain, and will allow more innovative
health care delivery.
5. Advanced storage solutions will provide the tools with which to manage and
maintain the vast quantities of data now being generated. Sophisticated new
storage servers, virtualized storage Grids and transparently integrated record
management and archiving systems will help the industry comply with the
increasingly tough requirements imposed by the Food and Drug Administration,
the Securities and Exchange Commission and other regulators.
6. Process analytical technology (PAT) lets companies monitor their
manufacturing processes continuously and automatically in real time, rather
than intermittently and historically via samples and post-manufacturing
quality controls. PAT improves manufacturing quality and saves money, because
it is cheaper to adjust a production line immediately than to discard goods
that have fallen outside the agreed tolerances. The FDA's new rules on good
manufacturing practice will have a significant influence on the investment in
PAT.
7. Web-scale mining and advanced text analytics use intelligent algorithms to
scan all the digital information on the Internet as soon as it becomes
available. This new generation of data and text mining tools will enable
pharmaceutical companies to quickly and efficiently draw meaning from huge
quantities of research, marketing and patient data. Web-mining will help the
industry conduct research, select potential targets for further study,
identify trends, perform more active pharmacovigilance, anticipate potential
crises and gain better patient insights.
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