European Research Project to Improve Detection and Diagnosis of Breast Cancer

HAMAMHAMAM - European Highly Accurate Breast Cancer Diagnosis through Integration of Biological Knowledge, Novel Imaging Modalities, and Modelling - consists of 9 project partners from 7 countries with leading expertise in the field of breast imaging diagnosis, with EIBIR as the coordinating partner. The 3-year project started in September 2008 and is supported by the European Commission with a financial contribution of €3.6m.

Despite tremendous advances in modern imaging technology, both 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 therapy is costly or unsuccessful.

HAMAM will tackle this challenge by providing a means to seamlessly integrate the available multi-modal images and the patient information on a single clinical workstation. Based on knowledge gained from a large multi-disciplinary database, populated within the scope of this project, suspicious breast tissue will be characterised and classified.

The exact diagnosis of suspicious breast tissue is ambiguous in many cases. HAMAM will resolve this using statistical knowledge extracted from the large case database. The clinical workstation will suggest additional image modalities that may be captured to optimally resolve these uncertainties. The workstation thus guides the clinician in establishing a patient-specific optimal diagnosis. This ultimately leads to a more specific and sensitive individual diagnosis.

HAMAM advances the state-of-the-art as it proposes a sound statistical and mathematical framework to integrate and combine the whole spectrum of patient information. HAMAM also goes beyond currently available technology by developing a prototypical solution that will be able to efficiently integrate all relevant clinical and imaging information within a single platform.

The overall strategy of the project is to foster the exchange and collaboration between basic scientists, clinicians, and IT experts, and to condense all information and knowledge in a common database and prototypical platform for multi-modal breast diagnosis.

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

Most Popular Now

Qure.ai to Launch AI Playbook for Radiol…

Qure.ai, one of world's leading providers of AI for healthcare, will launch its artificial intelligence (AI) playbook for radiology at this year's European Congress of Radiology. Developed with its European...

NHS Herefordshire and Worcestershire Dri…

One of England's integrated care systems proved the benefit of modern, cloud-telephony during the COVID-19 pandemic, and is now working with X-on on new ideas to support GPs and patients...

The NHS Needs a Health Tech Evolution; a…

Opinion Article by Brian Murray, Director, Orion Health. The NHS needs help, it's not broken - we all depend upon it. Turn on the radio, open a webpage, and there will...

Northern Lincolnshire and Goole NHS Foun…

Northern Lincolnshire and Goole NHS Foundation Trust (NLAG) has launched new NHS App features to transform the way patients access and manage their appointments within the NHS. The programme, known...

FDB (First Databank) Achieves ISO 13485:…

FDB (First Databank) announced that it has achieved ISO 13485:2016, the Quality Management System (QMS) for medical devices. This is a significant step for FDB, the UK's leading supplier of...

First Transient Electronic Bandage Speed…

Northwestern University researchers have developed a first-of-its-kind small, flexible, stretchable bandage that accelerates healing by delivering electrotherapy directly to the wound site. In an animal study, the new bandage healed diabetic...

Orion Health Strengthens French Business…

Orion Health is strengthening its presence in France with the appointment of digital health industry heavyweight, Tristan Debove, to lead its operations. Tristan Debove has more than 25 years of experience...

Genomics England Deploys Sectra Imaging …

Genomics England has completed installation of an enterprise imaging system that will help to support a world-pioneering initiative for cancer research. The programme is linking whole genome sequencing, pathology and...

AI Approach may Help Detect Alzheimer's …

Although investigators have made strides in detecting signs of Alzheimer's disease using high-quality brain imaging tests collected as part of research studies, a team at Massachusetts General Hospital (MGH) recently...

AI Predicts Cancer Patient Survival by R…

A team of researchers from the University of British Columbia and BC Cancer have developed an artificial intelligence (AI) model that predicts cancer patient survival more accurately and with more...

Will Future Computers Run on Human Brain…

A "biocomputer" powered by human brain cells could be developed within our lifetime, according to Johns Hopkins University researchers who expect such technology to exponentially expand the capabilities of modern...

Rewired 2023 Programme Explores the Futu…

14 - 15 March 2023, London, UK. Digital Health Rewired, the premier conference, exhibition and networking show for the UK digital health community, has published its 2023 programme showcasing the very...