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Data has become one the most precious asset of our modern society. Study of these data has been a most valuable source of information for understanding our daily events. Medical reports help us to understand the many diseases and how they affect us. However, when these reports are stored in an unstructured free text report, it makes their study expensive and complex. To facilitate the work of researchers and medicals, we propose structuring the radiological report. Using visual fields and the ontological information classification, it will be possible to create, classify and measure radiological reports information in an easier and more efficient way. We propose in this study use the Breast Ultrasonography report and elicitation of the domain's knowledge through an updated bibliographic survey on the specific radiological examination moving collected data to an ontological computational structure.

This review aims at giving an overview of the present status of nanorobotics in cancer therapy. With the aid of biotechnology, molecular biology (as engineered organism) and molecular medicine can develop fully self-sufficient nanorobots/nanobots. The nanorobotics considered, as a wonderful vision of medicine in the future are an advanced submicron device generally made of bio-nanocomponents. It has an eminence future in the drug delivery technology target in cancer, the disease that leading cause of death among younger than 85 years. Nanorobots could carry and deliver large amounts of anti-cancer drugs into cancerous cells without harming healthy cells, reducing the side effects related to current therapies like damage of the conventional chemotherapy. This paper presents a study on different approaches employed towards cancer treatment using nanorobots. Further, it also provides an insight into the future scope in this field of study.

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