Siemens Promotes Breast Cancer Awareness

Siemens HealthcareIn connection with October, the international breast cancer awareness month, Siemens has started a worldwide campaign to increase the public's understanding about breast cancer. Siemens is asking Internet users to upload their favorite portrait photo to a special web site. There all photos will be collected to create a virtual pink ribbon, the symbol of solidarity with breast cancer patients. As soon as the ribbon has traveled around the world once, Siemens will donate 50,000 Euros to the non-profit Susan G. Komen organization which is involved worldwide in the fight against breast cancer. In addition, Siemens has initiated a survey aimed at women in Brazil, China, Germany, India, Russia, the USA and other countries to determine the level of knowledge concerning breast cancer and early detection. The results of the survey will be published in the spring of 2011. Based on these results, Siemens will develop and distribute specific awareness material suitable for the countries included in the survey.

"More than ten percent of all women will be stricken with breast cancer during their life time. Despite this high number, large deficits exist in knowing about this disease and about early detection examinations," says Herrmann Requardt, CEO of Siemens Healthcare Sector. "The objective of our campaign is to heighten the awareness for this disease so that more women use the means available for early detection."

Siemens is therefore asking everyone who feels solidarity with breast cancer patients to post his/her favorite portrait photo to the Internet page www.siemens.com/pink. The photos will be arranged into a virtual pink ribbon that travels around the world. As soon as the ribbon has traveled once around the globe, Siemens will donate 50,000 Euros to the non-profit Susan G. Komen organization that finances projects for curing breast cancer and holds awareness campaigns.

As an additional step, an independent institute was requested to survey the knowledge of women aged 25-65 about breast cancer and early detection. The focus of this survey is on Brazil, Russia, India, China (BRIC states), the USA, Germany, Sweden and Austria. Siemens will inform the public about the results of the survey in the spring of 2011. In step with the information required from the women of these countries, Siemens will develop awareness and consultation material.

Related news articles:

About Siemens Healthcare
The Siemens Healthcare Sector is one of the world's largest suppliers to the healthcare industry and a trendsetter in medical imaging, laboratory diagnostics, medical information technology and hearing aids. Siemens offers its customers products and solutions for the entire range of patient care from a single source - from prevention and early detection to diagnosis, and on to treatment and aftercare. By optimizing clinical workflows for the most common diseases, Siemens also makes healthcare faster, better and more cost-effective. Siemens Healthcare employs some 48,000 employees worldwide and operates around the world. In fiscal year 2009 (to September 30), the Sector posted revenue of 11.9 billion euros and profit of around 1.5 billion euros. For further information please visit: www.siemens.com/healthcare.

Most Popular Now

AI Catches One-Third of Interval Breast …

An AI algorithm for breast cancer screening has potential to enhance the performance of digital breast tomosynthesis (DBT), reducing interval cancers by up to one-third, according to a study published...

Great plan: Now We need to Get Real abou…

The government's big plan for the 10 Year Health Plan for the NHS laid out a big role for delivery. However, the Highland Marketing advisory board felt the missing implementation...

Researchers Create 'Virtual Scienti…

There may be a new artificial intelligence-driven tool to turbocharge scientific discovery: virtual labs. Modeled after a well-established Stanford School of Medicine research group, the virtual lab is complete with an...

From WebMD to AI Chatbots: How Innovatio…

A new research article published in the Journal of Participatory Medicine unveils how successive waves of digital technology innovation have empowered patients, fostering a more collaborative and responsive health care...

New AI Tool Accelerates mRNA-Based Treat…

A new artificial intelligence (AI) model can improve the process of drug and vaccine discovery by predicting how efficiently specific mRNA sequences will produce proteins, both generally and in various...

AI also Assesses Dutch Mammograms Better…

AI is detecting tumors more often and earlier in the Dutch breast cancer screening program. Those tumors can then be treated at an earlier stage. This has been demonstrated by...

RSNA AI Challenge Models can Independent…

Algorithms submitted for an AI Challenge hosted by the Radiological Society of North America (RSNA) have shown excellent performance for detecting breast cancers on mammography images, increasing screening sensitivity while...

AI could Help Emergency Rooms Predict Ad…

Artificial intelligence (AI) can help emergency department (ED) teams better anticipate which patients will need hospital admission, hours earlier than is currently possible, according to a multi-hospital study by the...

Head-to-Head Against AI, Pharmacy Studen…

Students pursuing a Doctor of Pharmacy degree routinely take - and pass - rigorous exams to prove competency in several areas. Can ChatGPT accurately answer the same questions? A new...

NHS Active 10 Walking Tracker Users are …

Users of the NHS Active 10 app, designed to encourage people to become more active, immediately increased their amount of brisk and non-brisk walking upon using the app, according to...

New AI Tool Illuminates "Dark Side…

Proteins sustain life as we know it, serving many important structural and functional roles throughout the body. But these large molecules have cast a long shadow over a smaller subclass...

Deep Learning-Based Model Enables Fast a…

Stroke is the second leading cause of death globally. Ischemic stroke, strongly linked to atherosclerotic plaques, requires accurate plaque and vessel wall segmentation and quantification for definitive diagnosis. However, conventional...