Biomedical images are invaluable in establishing diagnosis, acquiring technical skills, and implementing best practices in many areas of medicine. At present, images needed for instructional purposes or in support of clinical decisions appear in specialized databases and in biomedical articles, and are often not easily accessible to retrieval tools. Our goal is to automatically annotate images ...

Medicine and health care have changed dramatically in the past few decades and they depend on high technology for prevention, diagnosis and treatment of diseases, and for patient rehabilitation. Modern biomedical research and health care are provided by multidisciplinary teams in which biomedical engineers contribute to the advancement of knowledge equally as medical professions. Biomedical eng...

Introduction This qualitative study seeks to explore the role within the context of Australian breast cancer oncology treatments that traditional Chinese medicine (TCM) practitioners play in the treatment of breast cancer. Methods Semistructured interviews were used on 2 groups: the first group was TCM practitioners who were recognized experts in breast cancer, and the second group consisted of...

The Neural Networks are best at identifying patterns or trends in data and they are well suited for predicting or forecasting. Hence neural networks are extensively applied to biomedical systems. An analysis is carried out to motivate neural network applications in medical diagnosis. A special note is made on neural network effort on cancer diagnosis. This paper focuses on the importance of app...

Sensitive measurement of biomarkers is of great importance in biomedical research, disease monitoring, and clinical diagnosis. In particular, much attention has been recently directed to rapid and sensitive diagnostics in the point-of-care (POC) settings. For instance, cardiac biomarkers and diabetes biomarkers have been detected with POC devices that allow onthe-spot diagnosis, thereby facilit...

It is well known that biomedical signals carry important information about the behavior of the living systems under study. With the analysis of the Electrocardiogram (ECG) signal it may be possible to predict heart problems or monitor patient recovery after a heart intervention. A proper processing of these signals enhances their physiological and clinical information. The quality of biomedical...

In the present article, we emphasize the symptom experience perspective in person-centred care and discuss barriers to implementation of this approach. There are obstacles to overcome: the diversity of understandings of symptoms in clinical settings, the current biomedical discourse and the incompleteness of symptom research. Since the 19th century, the biomedical perspective has been powerful ...

Traditionally, biomedical research endeavors in low to middle resources countries have focused on communicable diseases. However, data collected over the past 20 years by the World Health Organization (WHO) show a significant increase in the number of people suffering from non-communicable diseases (e.g. heart disease, diabetes, cancer and pulmonary diseases). Within the coming years, WHO predi...

Team science has been recognized as critical to solving increasingly complex biomedical problems and advancing discoveries in the prevention, diagnosis, and treatment of human disease. In 2009, the Evans Center for Interdisciplinary Biomedical Research (ECIBR) was established in the Department of Medicine at Boston University School of Medicine as a new organizational paradigm to promote interd...