EPIST Brokerage Event

The event will take place on 13th of July, from 13:30 until 17:30, in the room UC5, University of Linz, Linz, Austria during the 10th International Conference on Computers Helping People with Special Needs (ICCHP).

Participation in the brokerage event is free of charge. Participants are, however requested to register for the ICCHP 2006 CONFERENCE either for the day only or for the full conference duration (see link above). An exception is made for NMS and ACC participants that are interested in the EPIST brokerage only; these participants do not need to register for the ICCHP 2006 CONFERENCE.

The brokerage event is targeted at a wide spectrum of service providers, user groups, public authorities, research centres, SMEs and industrial organizations active in the fields of eInclusion and eHealth from the New and Old Member States and Associated Candidate Countries.

It offers a forum to exchange project ideas and to build partnerships by inviting organisations to give short presentations (5 min) on their organisations, their expertise and their project ideas with the aim to create consortia for FP7.

After the presentations there will be the possibility for one-to-one meetings and networking among interested organisations.

For further information and registration, please visit: www.epist.org

Registration to attend the brokerage event is possible until Monday, 10th July 2006 !

Most Popular Now

AI System Helps Doctors Identify Patient…

A new study from Vanderbilt University Medical Center shows that clinical alerts driven by artificial intelligence (AI) can help doctors identify patients at risk for suicide, potentially improving prevention efforts...

Smartphone App can Help Reduce Opioid Us…

Patients with opioid use disorder can reduce their days of opioid use and stay in treatment longer when using a smartphone app as supportive therapy in combination with medication, a...

AI's New Move: Transforming Skin Ca…

Pioneering research has unveiled a powerful new tool in the fight against skin cancer, combining cutting-edge artificial intelligence (AI) with deep learning to enhance the precision of skin lesion classification...

Leveraging AI to Assist Clinicians with …

Physical examinations are important diagnostic tools that can reveal critical insights into a patient's health, but complex conditions may be overlooked if a clinician lacks specialized training in that area...

AI can Improve Ovarian Cancer Diagnoses

A new international study led by researchers at Karolinska Institutet in Sweden shows that AI-based models can outperform human experts at identifying ovarian cancer in ultrasound images. The study is...

Predicting the Progression of Autoimmune…

Autoimmune diseases, where the immune system mistakenly attacks the body's own healthy cells and tissues, often have a preclinical stage before diagnosis that’s characterized by mild symptoms or certain antibodies...

Major EU Project to Investigate Societal…

A new €3 million EU research project led by University College Dublin (UCD) Centre for Digital Policy will explore the benefits and risks of Artificial Intelligence (AI) from a societal...

New AI Tool Uses Routine Blood Tests to …

Doctors around the world may soon have access to a new tool that could better predict whether individual cancer patients will benefit from immune checkpoint inhibitors - a type of...

Using AI to Uncover Hospital Patients�…

Across the United States, no hospital is the same. Equipment, staffing, technical capabilities, and patient populations can all differ. So, while the profiles developed for people with common conditions may...

New Method Tracks the 'Learning Cur…

Introducing Annotatability - a powerful new framework to address a major challenge in biological research by examining how artificial neural networks learn to label genomic data. Genomic datasets often contain...

From Text to Structured Information Secu…

Artificial intelligence (AI) and above all large language models (LLMs), which also form the basis for ChatGPT, are increasingly in demand in hospitals. However, patient data must always be protected...

AI Innovation Unlocks Non-Surgical Way t…

Researchers have developed an artificial intelligence (AI) model to detect the spread of metastatic brain cancer using MRI scans, offering insights into patients’ cancer without aggressive surgery. The proof-of-concept study, co-led...