Workshop on molecular targets for Cancer

The European Commission (DG RTD, CRP Santé) is organising a workshop on molecular targets for cancer on 6-7 October 2006 in Abbaye de Neumünster, Luxembourg.

With an estimated 2.9 million new cases and 1.7 million deaths each year, cancer remains an important public health problem in Europe. In addition, the ageing of the European population will cause these numbers to continue to increase even if age-specific rates remain constant.

The discovery of novel molecular targets for several of the most frequent cancers to date (lung, breast, colorectal, stomach, prostate, pancreatic and bladder cancer) will enable diagnosis at earlier stages of the disease. This will lead to early identification of patients needing treatment, and will have a profound impact on treatment selection for individual patients. In addition, cancer biomarkers may have the potential to serve as targets for the development of new anti-cancer therapies and innovative treatment strategies. Finally, accurate prognostic markers will be useful in assessing the risk of developing metastasis, and will empower the clinician in making decisions about the best possible targeted therapy for the benefit of the patient.

However, Europe's research and development efforts have so far been fragmented and have suffered from the lack of a coherent, strategic vision in translating all this basic knowledge into successful applications and therapies. The aim of this workshop is to identify possible bottlenecks and put forward solutions that boost the commercial value of potentially innovative findings on molecular targets, emanating from European research on cancer.

For further information, please visit:
www.ccrn.lu/cancer/

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...

AI could Help Improve Early Detection of…

A new study led by investigators at the UCLA Health Jonsson Comprehensive Cancer Center suggests that artificial intelligence (AI) could help detect interval breast cancers - those that develop between...

AI-Human Task-Sharing could Cut Mammogra…

The most effective way to harness the power of artificial intelligence (AI) when screening for breast cancer may be through collaboration with human radiologists - not by wholesale replacing them...

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...

Siemens Healthineers infection Control S…

Klinikum Region Hannover (KRH) has commissioned Siemens Healthineers to install infection control system (ICS) at the Klinikum Siloah hospital. The ICS aims to effectively tackle nosocomial infections and increase patient...

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...

AI-Powered Precision: Unlocking the Futu…

A team of researchers from the Department of Diagnostic and Therapeutic Ultrasonography at the Tianjin Medical University Cancer Institute & Hospital, have published a review in Cancer Biology & Medicine...

AI Model Improves Delirium Prediction, L…

An artificial intelligence (AI) model improved outcomes in hospitalized patients by quadrupling the rate of detection and treatment of delirium. The model identifies patients at high risk for delirium and...

Building Trust in Artificial Intelligenc…

A new review, published in the peer-reviewed journal AI in Precision Oncology, explores the multifaceted reasons behind the skepticism surrounding artificial intelligence (AI) technologies in healthcare and advocates for approaches...

SALSA: A New AI Tool for the Automated a…

Investigators of the Vall d'Hebron Institute of Oncology's (VHIO) Radiomics Group, led by Raquel Perez-Lopez, have developed SALSA (System for Automatic Liver tumor Segmentation And detection), a fully automated deep...