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

Open Medical Works with Moray's Dig…

Open Medical is working with the Digital Health & Care Innovation Centre’s Rural Centre of Excellence on a referral management plan, as part of a research and development scheme to...

Generative AI on Track to Shape the Futu…

Using advanced artificial intelligence (AI), researchers have developed a novel method to make drug development faster and more efficient. In a new paper, Xia Ning, lead author of the study and...

Reorganisation, Consolidation, and Cuts:…

NHS England has been downsized and abolished. Integrated care boards have been told to change function, consolidate, and deliver savings. Trusts are planning big cuts. The Highland Marketing advisory board...

AI Tool Uses Face Photos to Estimate Bio…

Eyes may be the window to the soul, but a person's biological age could be reflected in their facial characteristics. Investigators from Mass General Brigham developed a deep learning algorithm...

Philips Future Health Index 2025 Report …

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, today unveiled its 2025 Future Health Index U.S. report, "Building trust in healthcare AI," spotlighting the state of...

Personalized Breast Cancer Prevention No…

A new telemedicine service for personalised breast cancer prevention has launched at preventcancer.co.uk. It allows women aged 30 to 75 across the UK to understand their risk of developing breast...

New App may Help Caregivers of People Ge…

A new study by investigators from Mass General Brigham showed that a new app they created can help improve the quality of life for caregivers of patients undergoing bone marrow...

An App to Detect Heart Attacks and Strok…

A potentially lifesaving new smartphone app can help people determine if they are suffering heart attacks or strokes and should seek medical attention, a clinical study suggests. The ECHAS app (Emergency...

A Machine Learning Tool for Diagnosing, …

Scientists aiming to advance cancer diagnostics have developed a machine learning tool that is able to identify metabolism-related molecular profile differences between patients with colorectal cancer and healthy people. The analysis...

Fine-Tuned LLMs Boost Error Detection in…

A type of artificial intelligence (AI) called fine-tuned large language models (LLMs) greatly enhances error detection in radiology reports, according to a new study published in Radiology, a journal of...

DeepSeek-R1 Offers Promising Potential t…

A joint research team from The Hong Kong University of Science and Technology and The Hong Kong University of Science and Technology (Guangzhou) has published a perspective article in MedComm...

Deep Learning can Predict Lung Cancer Ri…

A deep learning model was able to predict future lung cancer risk from a single low-dose chest CT scan, according to new research published at the ATS 2025 International Conference...