Early Detection of Diseases
In Brief
? Systems biology is the key to early detection of illnesses. Siemens offers a unique combination of molecular diagnostics and imaging together with modern information and workflow systems. These systems integrate results from in-vitro and in-vivo modalities, making personalized medicine possible more
? Early detection and diagnosis are crucial factors in the fight against breast cancer. Major advances in imaging techniques now allow more precise examinations that subject patients to less stress and discomfort. These include digital mammography systems and special computer programs that analyze mammograms and mark areas where there is reason to suspect a tumor exists more
? If breast cancer is detected and removed early, the chances of recovery are good. In the future there will be diagnostic tests that forecast how successfully breast cancer patients can be treated with various tumor therapies. This could spare many of them a difficult chemotherapy treatment more
? In northeastern Germany, physicians are conducting one of the world’s most comprehensive data-gathering studies, involving thousands of test subjects. In cooperation with Siemens, they are searching for patterns related to the development and treatment of the most commonly encountered illnesses. The study is intended to reveal the connections between illnesses, lifestyle factors, and genetic predisposition more
? Precisely diagnosing disease is often a very complex and lengthy process. Thanks to new diagnostic tests, though, conditions such as myocardial infarctions can be detected earlier and with greater reliability. Biomarkers can unambiguously confirm damage to the heart muscle, for example—even in instances where other types of examinations have found nothing. What’s more, doctors can use blood tests to reliably determine that patients are receiving the right medications, and to monitor the relative success of therapy. And a new system is available to ensure fast work procedures in the lab for more see Biomarkers and Laboratory Automation
Health-e-Child
Paul Camuti, SCR
paul.camuti@siemens.com
FLARE
Dr. Fred Azar, SCR
fred.azar@siemens.com
Digital mammography
Dr. Thomas Mertelmeier, Healthcare
thomas.mertelmeier@siemens.com
Ultrasound
Jacqueline Bailey, Healthcare
jacqueline.bailey@siemens.com
Magnetic resonance tomography
Birgit Hasselberg, Healthcare
birgit.hasselberg@siemens.com
Computer Aided Detection
Jonathan Stoeckel, Healthcare
jonathan.stoeckel@siemens.com
Dr. Arun Krishnan, Healthcare
arun.krishnan@siemens.com
Breast cancer prognosis test
Dr. Christoph Petry, Healthcare
christoph.petry@siemens.com
SHIP study
Dr. Jürgen Simon, Healthcare
juergen.simon@siemens.com
Biomarkers
Dr. Walter P. Carney, Healthcare
walter.carney@siemens.com
Dr. Alan Burkhardt, Healthcare
alan.burkhardt@siemens.com
Dr. Andrew Beard, Healthcare
andrew.beard@siemens.com
Dr. Peter Zwerenz, Healthcare
peter.zwerenz@siemens.com
Dimension Vista
Frank Kraft, Healthcare
frank.fk.kraft@siemens.com
Prof. Dr. Dr. John V. Frangioni
jfrangio@bidmc.harvard.edu
Dr. Mukesh G. Harisinghani
mharisinghani@mgh.harvard.edu
Siemens Healthcare: www.siemens.com/healthcare
Harvard Medical School : hms.harvard.edu
MGH: www.massgeneral.org