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#ifihadglass We work in NIBR, building software for drug discovery at Novartis. We’d use Google Glass to identify bio-specimens in a freezer, or display visualizations of genomic data when a user sees a gene name on a poster, or show the operational status of experimental equipment in a lab.
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I hope these make the rounds or at the next IDD if they do end up at Novartis.   ;)  Maybe we can write a developer pair into our budget....
Of course you would have a bar code scanner, so that a glance on a tube's bar code will give you all information about the sample in that tube.
Thank you sir.  The actual USEFUL applications of this device completely skipped my mind.  At least some people out there are still forward thinking.
This seems like a really interesting application of Glass. If you'd like to talk about it for a press piece, let me know. 
Wouldn't it be cool if you could simply look at a tube and know what was in it?  No more reaching for a barcode reader, or grabbing your smart phone to figure out what's in the tube.
Great idea! It feels just fine to work in a company with people like you!
Imagine being able to look at a plate and know what's in each well.
+Patrick Kaddu leap motion is on my list for personal tools, but i agree, glass at Novartis would pioneer all kinds of research initiatives =]
I work at a pharmaceutical company too. there are many applications especially in a laboratory is true. What really would make a difference is when doing research and entering data into a system via voice input, identifying samples and such. Yet building a pipette that automatically measures the amount pipetted, building scales and laboratory devices that do not depend on a local cmputer but rather load their data into the cloud where it then will be analysed would be of much greater impact. Interaction with such devices could be through tablets, glass or on chrome books. Why make the step into the cloud? Well it is cheaper in the long term, open data standards could allow cheaper archiving, easier validation and archiving costs, better scalability, more efficient use of data center power.
I personally would like to see slim android powered laboratory devices that use cloude based data analysi. Problems like techtransfer could become problems of the past if we could replicate a system, its settings etc. Looking at audit trails and transfering these from one device to an other.
Awesome, Carty!  Great to see Forbes picked you up too!
Herper was who alerted me to this first.
Hi Carty, thanks for applying! We’d like to invite you to join our #glassexplorers program. We’ll be sending you a private message with more details in the coming weeks -- keep an eye on our stream at Project Glass.
Congrats, Carty and NIBR team!
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