Extracting biomedical relations such as drug-drug interaction (DDI) from text is an important task in biomedical NLP. Due to the large number of complex sentences in biomedical literature, researchers have employed some sentence simplification techniques to improve the performance of the relation extraction methods. However, due to difficulty of the task, there is no noteworthy improvement in t...

Early detection of lung cancer can help for improving the survival rate patients. Biomedical imaging tools such as computed tomography (CT) image was utilized to proper identification and positioning cancer. The recently developed deep learning (DL) models be employed effectual classification diseases. This article introduces novel enabled CAD technique using biomedical CT image, named DLCADLC-...

In the field of biomedical imaging, the ultrasound imaging is a vital tool for diagnosis of various disease or abnormalities. Unfortunately, the presence of speckle noise in these images affects edges and fine details which limit the contrast resolution and make diagnostic more difficult. Hence speckle noise reduction is an important task for developing a effective diagnosis system. In this pap...

Biosensors are nowadays ubiquitous in biomedical diagnosis as well as a wide range of other areas such as point-of-care monitoring of treatment and disease progression, environmental monitoring, food control, drug discovery, forensics and biomedical research. A wide range of techniques can be used for the development of biosensors. Their coupling with high-affinity biomolecules allows the sensi...

Sensitive skin is a self-diagnosed condition and usually not accompanied by any obvious physical signs of irritation. Patients with this syndrome have unpleasant sensations whenever exposed to physical, thermal or chemical stimuli that normally cause no provocation on healthy skin. Cosmetics, barrier impairment, climate changes are the main contributing factors for hyperactivity. Although diagn...