EU Funded Clinical Workstation Will Help Accurately Detect Breast Cancer

HAMAMEach year 350,000 new cases of breast cancer are detected in the European Union, but a lack of effective technology to assist in cases that are difficult to diagnose means some cases go undetected or are incorrectly diagnosed. The EU is investing €3.1 million to develop better and quicker breast cancer diagnostics through the HAMAM project. This project is developing a prototype workstation to help diagnose breast cancer by integrating multi-modal images resulting from mammography, magnetic resonance imaging and other technologies as well as patient information. Doctors will be able to compare those multi-modal images side by side while viewing the patient's history and medical analyses. The workstation will be tested in selected hospitals in Germany, the UK and the Netherlands.

Commission Vice-President for the Digital Agenda Neelie Kroes said: "Breast cancer is a condition that touches millions of lives. In Europe about 130,000 women die of breast cancer every year. If more cancers could be detected on time, we could save many thousands of them. So I am very excited by the potential of the HAMAM project's digital technology to help save lives."

Around 350,000 new breast cancer cases are detected in Europe every year, which accounts for 26% of all new cancer cases among women. 17% of women dying from cancer each year die from breast cancer. Currently, the fight against breast cancer is focused on its early detection.

Despite advances in modern imaging technology, early detection and accurate diagnosis of breast cancer are still unresolved challenges. Unnecessary biopsies are taken and tumours frequently go undetected until a stage where a successful therapy is much more difficult or even impossible. The HAMAM project is tackling this by integrating multi-modal images and patient information on a single clinical workstation. Imaging modalities which can be compared include X-ray mammography, tomosynthesis, magnetic resonance imaging, 2D/3D ultrasound and positron emission mammography. The three-year project started in 2008 and received €3.1 million from the EU. It ensures that scientists, clinicians, and IT experts work together to collect all the existing patient data in a common database. More specifically, the project is developing clinical software tools that integrate imaging and quantitative data and combine it with personalised risk profiles for developing breast cancer, based on genetic information and family history.

The project's clinical advisory board involves leading experts in breast cancer diagnosis from six EU member states (Belgium, Germany, Italy, The Netherlands, Sweden and the UK) as well as from the US. Clinical tests will be undertaken in hospitals in Berlin (Germany), Dundee (the UK) and Nijmegen (The Netherlands). The tests will be supported by IT experts from several universities in Europe.

HAMAM is a successor of two other EU-funded projects: SCREEN and SCREEN-TRIAL. These projects brought major advances in European breast cancer diagnosis, meaning that today Europe is the world leader in diagnostic systems for digital mammography. With HAMAM, Europe will strengthen its leadership in the area of image-based breast cancer diagnoses.

For further information, please visit:
http://www.hamam-project.eu

Related articles:

Most Popular Now

Research Shows AI Technology Improves Pa…

Existing research indicates that the accuracy of a Parkinson's disease diagnosis hovers between 55% and 78% in the first five years of assessment. That's partly because Parkinson's sibling movement disorders...

Who's to Blame When AI Makes a Medi…

Assistive artificial intelligence technologies hold significant promise for transforming health care by aiding physicians in diagnosing, managing, and treating patients. However, the current trend of assistive AI implementation could actually...

First Therapy Chatbot Trial Shows AI can…

Dartmouth researchers conducted the first clinical trial of a therapy chatbot powered by generative AI and found that the software resulted in significant improvements in participants' symptoms, according to results...

DMEA sparks: The Future of Digital Healt…

8 - 10 April 2025, Berlin, Germany. Digitalization is considered one of the key strategies for addressing the shortage of skilled workers - but the digital health sector also needs qualified...

DeepSeek: The "Watson" to Doct…

DeepSeek is an artificial intelligence (AI) platform built on deep learning and natural language processing (NLP) technologies. Its core products include the DeepSeek-R1 and DeepSeek-V3 models. Leveraging an efficient Mixture...

Stepping Hill Hospital Announced as SPAR…

Stepping Hill Hospital, part of Stockport NHS Foundation Trust, has replaced its bedside units with state-of-the art devices running a full range of information, engagement, communications and productivity apps, to...

DMEA 2025: Digital Health Worldwide in B…

8 - 10 April 2025, Berlin, Germany. From the AI Act, to the potential of the European Health Data Space, to the power of patient data in Scandinavia - DMEA 2025...