Check out the Med-e-Tel 2013 Conference Program

Med-e-Tel 201310 - 12 April 2013, Luxexpo, Luxembourg.
Stepping away from your daily activities for just a few days and attending Med-e-Tel 2013 will provide you with an opportunity to obtain practical and useful information on current telemedicine and eHealth topics and applications.

A variety of thematical sessions throughout the 3-day conference allow you to attend those presentations that matter most to your daily activities and interests. Use the program as a "menu" from which you can select those sessions and presentations that are of interest and relevance to you, or that you want to hear more about.

Med-e-Tel is of course much more than just the conference program alone: it is the opportunity to meet and network with telemedicine and eHealth stakeholders from around the world, to see technologies and solutions in the expo area, and to forge new collaborations and partnerships with other participants.

Consult the preliminary conference program here (subject to some changes and additions).

Register for Med-e-Tel 2013 at early bird rates and save 20% on the regular fees
Register now for Med-e-Tel 2013 and obtain a full event registration for only €390, including access to expo, all conference sessions, receptions, conference materials, and networking opportunities with Telemedicine and eHealth stakeholders from around the world.

Registration conditions can be found here.

For further information, please visit:
http://www.medetel.eu

Related news articles:

Most Popular Now

Do Fitness Apps do More Harm than Good?

A study published in the British Journal of Health Psychology reveals the negative behavioral and psychological consequences of commercial fitness apps reported by users on social media. These impacts may...

AI Tool Beats Humans at Detecting Parasi…

Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in stool samples more quickly and accurately than traditional methods, potentially transforming how labs diagnose...

Making Cancer Vaccines More Personal

In a new study, University of Arizona researchers created a model for cutaneous squamous cell carcinoma, a type of skin cancer, and identified two mutated tumor proteins, or neoantigens, that...

AI can Better Predict Future Risk for He…

A landmark study led by University' experts has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack. The study, conducted by an international...

A New AI Model Improves the Prediction o…

Breast cancer is the most commonly diagnosed form of cancer in the world among women, with more than 2.3 million cases a year, and continues to be one of the...

AI System Finds Crucial Clues for Diagno…

Doctors often must make critical decisions in minutes, relying on incomplete information. While electronic health records contain vast amounts of patient data, much of it remains difficult to interpret quickly...