Call for Proposals: FP7-HEALTH-2012-INNOVATION-2

This call is dedicated to a specific SME innovation initiative designed to encourage stronger SME efforts towards research and innovation. SMEs need to have a leading or coordinating role in the consortium and 50 % of EU funding requested going to SMEs or SMEs joint venture. Expected project results should be of clear interest and potential benefit to SME(s).

Call identifier: FP7-HEALTH-2012-INNOVATION-2

Proposal submission and evaluation: two-stage procedure.

Deadline for stage 1 proposals: 27 September 2011

Topics called:
1. BIOTECHNOLOGY, GENERIC TOOLS AND MEDICAL TECHNOLOGIES FOR HUMAN HEALTH
1.4 INNOVATIVE THERAPEUTIC APPROACHES AND INTERVENTIONS
2. TRANSLATING RESEARCH FOR HUMAN HEALTH
2.3. TRANSLATIONAL RESEARCH IN MAJOR INFECTIOUS DISEASES: TO CONFRONT MAJOR THREATS TO PUBLIC HEALTH
2.3.0 CROSS-CUTTING
2.4. TRANSLATIONAL RESEARCH IN OTHER MAJOR DISEASES
2.4.5 OTHER CHRONIC DISEASES

For further information and key documents required for proposal preparation, please visit:
http://ec.europa.eu/research/participants/portal/page/cooperation?callIdentifier=FP7-HEALTH-2012-INNOVATION-2

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...