Symyx has announced that it will begin offering its electronic laboratory notebooks in a hosted, software-as-a-service (SaaS) model. The company's press release suggests that this move is in response to economic pressures to offer cheaper, more flexible options, but the trend towards web-based IT offerings is one that will dovetail nicely with pharmaceutical companies' needs for better ways of integrating the work of their scientists worldwide.
The hosted Symyx Notebook will enable "medicinal chemists, synthetic chemists and biologists to manage, explore, share and reuse experimental information and intellectual property (IP). Using a hosted ELN service, R&D organizations can deploy and leverage the electronic notebook quickly and efficiently without added IT infrastructure and resources while collaborating more effectively with partners in today’s information-driven R&D environment."
Information security is a key concern, of course, which Symyx addresses in its announcement.
--Paul Thomas
Showing posts with label IT. Show all posts
Showing posts with label IT. Show all posts
Monday, October 19, 2009
Monday, August 24, 2009
Can Microsoft Fix What Ails QbD Efforts?
As QbD matures, so do IT offerings that bill themselves as the answer to drug manufacturers' drug development prayers. Manufacturers' challenge is clear: how do we take all our disparate, siloed R&D data from past and present and (cheaply and easily) use it to leverage our ongoing development efforts? As the ability of software to integrate and manipulate data from multiple formats improves, this massive challenge becomes more of a reality.
Of course, there is money to be made in bringing order to chaotic drug development data, as is evidenced by the companies getting into the market. Last week, I talked with Arvindh Balakrishnan about Oracle's efforts, and before that spoke with Blue Reference's Paul van Eikeren about his company's QbD IT consortium.
Microsoft looms large as well, and today we posted my interview with Jim Karkanias, Senior Director of Applied Research and Technology for Microsoft Health Solutions Group, about its Amalga Life Sciences solution.
Amalga is Microsoft’s attempt to make drug R&D data readily available, integrated, and robust, with the advantage that it leverages the Office format that is familiar to virtually everyone within a given organization. In the interview, Karkanias uses the example of a multidisciplinary team that is tasked with performing a gene expression study of a certain disease to illustrate how R&D will realize Amalga's potential. The fact that Amalga integrates relational and graphical data is what sets it apart, Karkanias says.
Merck is one of the companies helping Microsoft to develop Amalga LS. We'd love to hear more from anyone who's had experience with those solutions from the companies mentioned above, or other companies in the QbD IT space as well.
--Paul Thomas
Of course, there is money to be made in bringing order to chaotic drug development data, as is evidenced by the companies getting into the market. Last week, I talked with Arvindh Balakrishnan about Oracle's efforts, and before that spoke with Blue Reference's Paul van Eikeren about his company's QbD IT consortium.
Microsoft looms large as well, and today we posted my interview with Jim Karkanias, Senior Director of Applied Research and Technology for Microsoft Health Solutions Group, about its Amalga Life Sciences solution.
Amalga is Microsoft’s attempt to make drug R&D data readily available, integrated, and robust, with the advantage that it leverages the Office format that is familiar to virtually everyone within a given organization. In the interview, Karkanias uses the example of a multidisciplinary team that is tasked with performing a gene expression study of a certain disease to illustrate how R&D will realize Amalga's potential. The fact that Amalga integrates relational and graphical data is what sets it apart, Karkanias says.
Merck is one of the companies helping Microsoft to develop Amalga LS. We'd love to hear more from anyone who's had experience with those solutions from the companies mentioned above, or other companies in the QbD IT space as well.
--Paul Thomas
Wednesday, August 19, 2009
Oracle's Balakrishnan: Towards an Integrated QbD
Another person who has his finger on the pulse of QbD, and whom I've spoken to a few times in the past six months, is Oracle's Arvindh Balakrishnan. We spoke again last week to touch base, and the focus of our discussion was Balakrishnan's belief that QbD is at a turning point in that many manufacturers have gone beyond the "hodge podge" approach that defined earlier QbD efforts and now have coordinated, corporatewide QbD programs.
Here is the audio of the interview.
--Paul Thomas
Here is the audio of the interview.
--Paul Thomas
Labels:
Arvindh Balakrishnan,
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Oracle
What is Your QbD Pain Point?
I had a chance to catch up again with Blue Reference's Paul van Eikeren last week, to talk about the progress of QbD in pharma, and about IT solutions to meet manufacturers' QbD needs. I've been following Blue Reference closely for the past year since van Eikeren is a proven innovator and business success--as founder of electronic lab notebook pioneer Intellichem (now part of Symyx)--and it's clear that he now aims to make a big splash with Blue Reference by leveraging the synergies between its software and the Quality by Design movement.
Through its QbD product development consortium, Blue Reference is working closely with manufacturers to codevelop novel QbD-focused solutions, and van Eikeren now feels that he has hit upon something that will make a difference: what he calls Paradigm Discovery, software that aims to mine manufacturers' R&D data from the past, find useful information, and put it in a format that can assist current QbD efforts. Manufacturers' major QbD pain point, van Eikeren says, is not being able to draw upon years of data from the past, and get return on investment for drug development studies that may never have led to a marketed product. Since the product is still in early development and hasn't been demo'ed for clients yet, van Eikeren isn't saying too much about how it works. Here is the summary of what he was willing to share with me.
Stay tuned . . . I aim to follow up with van Eikeren every so often, since Blue Reference is one of those bellwether companies by which to gauge the progress of QbD itself.
--Paul Thomas
Through its QbD product development consortium, Blue Reference is working closely with manufacturers to codevelop novel QbD-focused solutions, and van Eikeren now feels that he has hit upon something that will make a difference: what he calls Paradigm Discovery, software that aims to mine manufacturers' R&D data from the past, find useful information, and put it in a format that can assist current QbD efforts. Manufacturers' major QbD pain point, van Eikeren says, is not being able to draw upon years of data from the past, and get return on investment for drug development studies that may never have led to a marketed product. Since the product is still in early development and hasn't been demo'ed for clients yet, van Eikeren isn't saying too much about how it works. Here is the summary of what he was willing to share with me.
Stay tuned . . . I aim to follow up with van Eikeren every so often, since Blue Reference is one of those bellwether companies by which to gauge the progress of QbD itself.
--Paul Thomas
Monday, August 3, 2009
Does Bing Have More Bang for the (Life Sciences) Buck?
If you're a researcher or pharma professional, should you prefer Bing to Google? Microsoft's Life Sciences IT expert Les Jordan (not surprisingly) thinks so. His latest blog entry details what Microsoft is up to in life sciences, but also takes a closer look at how Bing might have advantages over the "G" search engine for the industry's professionals:
Sponsored Targeted search by Therapeutics. Try this side by side with the “other” large search engine. Type “Diabetes” into Bing (http://www.bing.com) and into the “G”. I won’t give you the link ;-). Notice the difference:
“G” – gives you News on Diabetes as the first link. News! Who wants news on their disease? I need treatments, symptoms, diet, prevention, etc.
Bing – The first link is a definition (from content provided by Bing Health from Mayo Clinic), but notice on the left: Articles, Symptoms, Diet, Complications, Prevention, and Test – that’s what people are looking for! Also notice the related searches right under that - “pre-diabetes”, “Diabetes care”. Helps you sub-set your search instead of pouring through the “blue links”. Powerful.
Sponsored Targeted search by drug name. Again try this side by side between Bing and “G”. Let’s stay on the theme of diabetes. Type in Insulin into the search. Notice the differences:
“G” – A “Wikipedia” entry. Better than news, I’ll give you that…but still, it isn’t an authoritative source, and I’ll need to dig more to get the info I need, like “what are the side effects”, etc.
Bing – The first link is an authoritative article on insulin on “Bing Health” from Mayo Clinic. But notice the left side: Articles, Side Effects, Ingredients, Drug Interactions – that’s the kind of information people are usually looking for.
My first few experiences with Bing have been good ones. Would be interested in hearing your thoughts.
--Paul Thomas
Sponsored Targeted search by Therapeutics. Try this side by side with the “other” large search engine. Type “Diabetes” into Bing (http://www.bing.com) and into the “G”. I won’t give you the link ;-). Notice the difference:
“G” – gives you News on Diabetes as the first link. News! Who wants news on their disease? I need treatments, symptoms, diet, prevention, etc.
Bing – The first link is a definition (from content provided by Bing Health from Mayo Clinic), but notice on the left: Articles, Symptoms, Diet, Complications, Prevention, and Test – that’s what people are looking for! Also notice the related searches right under that - “pre-diabetes”, “Diabetes care”. Helps you sub-set your search instead of pouring through the “blue links”. Powerful.
Sponsored Targeted search by drug name. Again try this side by side between Bing and “G”. Let’s stay on the theme of diabetes. Type in Insulin into the search. Notice the differences:
“G” – A “Wikipedia” entry. Better than news, I’ll give you that…but still, it isn’t an authoritative source, and I’ll need to dig more to get the info I need, like “what are the side effects”, etc.
Bing – The first link is an authoritative article on insulin on “Bing Health” from Mayo Clinic. But notice the left side: Articles, Side Effects, Ingredients, Drug Interactions – that’s the kind of information people are usually looking for.
My first few experiences with Bing have been good ones. Would be interested in hearing your thoughts.
--Paul Thomas
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