LabVantage Announces Dates and Venue for CTEC 2014
News Mar 30, 2014
LabVantage Solutions, a leading provider of laboratory informatics solutions and services, has announced that its annual Customer Training and Education Conference (CTEC) will take place at The Venetian Resort Hotel Casino in Las Vegas, Nevada from September 7-11, 2014. CTEC 2014 will bring together the best laboratory informatics people in the industry and give them a chance to discuss the latest innovations, technologies, techniques and strategies to empower their laboratories.
“CTEC is a great opportunity for us to collaborate with our customers across a range of topics as well as serve as a formal launch point for our latest products. It is a great way for us to learn together about how we can tackle the most pressing challenges. This year’s CTEC will be the largest ever reflecting our growth and leadership position in the LIMS industry,” stated Peter Bailey, LabVantage Solutions Chief Executive Officer.
CTEC 2014—Staying on the Cutting Edge of Laboratory Informatics
The conference will provide attendees with an in-depth look at the new functionality and capabilities LabVantage has to offer as well as communicate the vision of the company. This year the agenda includes the formal launch of LabVantage 7, the newest version of the LabVantage product. In addition, training opportunities with certification will be available for LabVantage users on September 7th and 11th.
CTEC 2014 will include customer presentations on best practices, industry breakout sessions, live product demonstrations and one-on-one consultations. Attendees will learn how to run their laboratories more efficiently, how to improve quality and be more innovative.
The three-day conference will provide attendees opportunities to connect with the LabVantage team and network with other LabVantage customers. Users will have the chance to share their success stories and exchange ideas on how to get the most out of their LIMS by reducing cost, timelines and risks.
An artificial intelligence (AI) approach based on deep learning convolutional neural network (CNN) could identify nuanced mammographic imaging features specific for recalled but benign (false-positive) mammograms and distinguish such mammograms from those identified as malignant or negative.
2nd International Conference on Computational Biology and Bioinformatics
May 17 - May 18, 2019