World Innovation Forum

I’m planning a trip to California to do some business development and go to the World Innovation Forum amongst other things. The conference is from April 17-18, so if you want to join me, fire me an email because I would love a wingman on this mission! Seriously. (Oh, and there’s an unwritten student rate if you ask nicely …)

I ripped off a bit of content here from the HSM website for the World Innovation Forum, but I want to show you some of the people that are going to be speaking at this event:

CLAYTON CHRISTENSEN Disruptive Innovation

Author of The Innovator’s Dilemma, the business bestseller that outlines Christensen’s revolutionary theory of disruptive innovation

RENÉE MAUBORGNE Blue Ocean Strategy

“Blue Ocean Strategy challenges everything you thought you knew about strategy” (Business Strategy Review)

RAY KURZWEIL A Look into the Future

“The restless genius” (Wall Street Journal), “the ultimate thinking machine” (Forbes), “the rightful heir to Thomas Edison” (Inc. Magazine), and one of 16 “revolutionaries who made America” (PBS)

LYN HEWARD Creativity & Innovation at Cirque du Soleil

Lyn Heward is the creative fire behind Cirque du Soleil–one of the most innovative and creative companies in the world today–helping it grow to distinct 13 troupes that perform on a global stage

VINTON G. CERF Internet: An Engine of Innovation

Google’s Chief Internet Evangelist and widely considered to be the “Father of the Internet”

MICHAEL THIENEMAN A Model of Innovation: Whirlpool

Thieneman’s global position ensures innovative products and features across all of Whirlpool’s brands, reflected in an annual sales total of more than $19 billion

RICK RASHID Microsoft: Research, Product Development, and Future Technologies

As Senior Vice President, Research, Rick Rashid oversees Microsoft Research’s worldwide operations.

In November 2006 I attended the World Science Forum, which is another conference put on by HSM in New York. It was a great conference, where I had the opportunity to meet Francis Collins, Marvin Minsky, and listen to presentations made by some of the worlds greatest minds. I highly suggest getting the chance to get out to at least one of there.

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Genotyping Becomes More Affordable

A new machine called OpenArray(TM) from BioTrove, Inc. now allows genomic research to conduct genotyping (SNP) analysis across much larger patient groups.

As described on Traditional Medicine:

Unlike other technologies, which can genotype hundreds of thousands of SNPs in a few patient samples, OpenArray allows researchers to analyze SNPs across tens of thousands of patient samples – dramatically expanding study size and data significance. OpenArray SNP genotyping is also more efficient than previous technology because of its flexible design. A single OpenArray plate holds as few as 16 or as many as 3072 separate assays, which can be run against 48-144 samples per plate. Since the OpenArray NT Imager can process three OpenArray plates at once, it can generate more than 9000 data points in less than 10 minutes, ultimately generating over 100,000 data points per day with a single employee.

This is a huge step forward in genetics research, but we are still awaiting the $1 genomic sequence. Right now we are bordering on the $1000 dollar genome, which was talked about by Michael J. Heller, Ph.D., Departments of Bioengineering/Electrical and Computer Engineering, University of California, San Diego – yesterday at the Cambridge Healthtech Institute’s “Next Generation Sequencing Applications and Cast Studies” conference in San Diego, CA.

If you’re wondering just how competitive this space is, there is a $10 million X-Prize for Genomics that was issued by Craig Venter, for the first team to successfully sequence 100 human genomes in 10 days. Details of the prize are as follows:

The $10 million X PRIZE for Genomics prize purse will be awarded to the first
Team that can build a device and use it to sequence 100 human genomes within 10
days or less, with an accuracy of no more than one error in every 100,000 bases
sequenced, with sequences accurately covering at least 98% of the genome, and at
a recurring cost of no more than $10,000 per genome.

As it seems, the race is on!

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Scientists Rejoice as Google Solves Data Management Crisis

Okay … so maybe “rejoice” is going a little too far, but scientists in the astronomy world are quite happy with Google’s innovative solution to managing their massive amounts of data received from imaging done in space, whether its infrared, gamma-ray, x-ray, etc…

The processes has been coined “FedExNet” by scientists who have already adopted and are using the new service. So what is this new service? I have highlighted some of the main points from the originating Wired article below:

  • Google acts as both a repository and courier for large data sets
  • Google ships both the PC and array to teams of scientists at various research institutions, which then connect their local servers to the array via an eSATA connection. Once the data transfer is complete, the drives get sent straight back to Mountain View, where the data is copied to Google’s servers for archival purposes. The idea then is that if other scientists around the world needed access to such a large quantity of data, Google would simply reverse the process.
  • Chris DiBona, the open-source program manager at Google, says “We make a copy of [the data], and then we can use the hard drives for something else. They’ll get banged around a little bit too much (to store the data directly on the drives). They’re not intended to be a long-term storage medium — they’re like envelopes to us.”
  • With a set of Google drives, Gorelick (who came up with the FedExNet moniker) can copy his team’s data in about 24 hours or less, something that can make a big difference when the time comes to collaborate with other research groups.

    See full article at Wired: Google’s Next-Gen of Sneakernet

Think of all the separate databases out there that manage genetic information. There are many independently operated bioinformatic databases and if they can all be centralized and indexed in a way that only Google can do, think of the potential implications for the scientific community working to progress the knowledge of DNA, RNA and protein interactions. This might be an essential step working towards the completion of the proteome and transcriptome …