Mylas world trips
Arab Health Dubai 24-27 January 2011
Facts & Figures: 2,700 exhibitors, 66 000 participants from 141 countries with 18 conferences. The Myla charm: Myla was presented to several prestigious people, including the Ministries of Health for Saudi Arabia and Kuwait. During workshops Myla was presented to many key healthcare provides from countries such as the Gulf Region, India, Asia Pacific ... Myla also tweeted to all her fans and Arab Health followers.
JIB Paris 3-5 November 2010
Facts & Figures: 178 exhibitors, 9271 participants with 28.14% coming from overseas. The booth theme was an "alliance of technologies" which showed how instruments and middleware create a well-balanced unity within the microbiology lab.
Myla demonstrated how rapid identification through mass spectrometry could be perfectly integrated with AST and/or Blood culture.
Myla was perceived by customers as being a leading solution in information management for the microbiology lab and had not come across such a solution before.
AACC Anaheim, California 27th - 29th July 2010
Facts & Figures: over 20 000 participants at the congress. Bar time: Myla demos were served up at the bar to many interested customers who lined up to experience how Myla could help them.
ASM San Diego 23rd-27th May 2010
Facts & Figures: over 5400 participants at the congress Innovation: Two greeters welcomed guests as they entered the booth and used iPADs to show attendees WHATS NEW on the booth with the star of course being Myla. In fact, Myla was the product demo customers requested most.
ECCMID Vienna 10-13th April 2010
Facts & Figures: over 9000 participants at the congress from 97 countries.
Myla visits the stand: presented for the first time worldwide on April 12th.
Customer response: highly positive with the general consensus being that this type of middleware solution is greatly needed.
Capabilities most appreciated:
- Myla is an open system and can connect to instruments other than those commercialized by bioMérieux
- Myla tracks quality indicators and improves the reporting process of statistical reports from microbiology data
