The greatest cause of death for both men and women globally is lung cancer. This mostly because it manifests no symptoms at first only identified a late stage, when the patient's condition has already gotten worse. Typically, skilled expert will thoroughly examine CT scans to make diagnosis Finding interpreting abnormalities on scan can be quite challenging, even highly medical professionals. I...

Cholangiocarcinoma (CCA) is a fatal disease that is typically diagnosed late and treated ineffectively. As the morbidity and mortality rates for CCA rise markedly, patietns with CCA currently have a poor prognosis. However, if it were possible to diagnose CCA early while effective treat methods are available, CCA patients would achieve a better quality of life. Therefore, preventing the process...

Learning objectives Cancer staging traditionally uses CT or MRI for detecting suspected malignant lesions with characterisation performed by histopathology following biopsy. In this “lumpology” paradigm, the number, size and location of lesions are used to determine prognosis and guide treatment strategies. To provide an educational exhibit to highlight the utility of molecular imaging to diagn...

The successful management of prostate cancer requires early detection, appropriate risk assessment, and optimum treatment. An unmet goal of prostate cancer imaging is to differentiate indolent from aggressive tumors, as treatment may vary for different grades of the disease. Different modalities have been tested to diagnose, stage, and monitor prostate cancer during therapy. This review briefly...

BACKGROUND Schistosomiasis is an important helminth infection of humans. There are few reliable diagnostic biomarkers for early infection, for recurrent infection or to document successful treatment. In this study, we compared serum protein profiles in uninfected and infected mice to identify disease stage-specific biomarkers. METHODS Serum collected from CD1 mice infected with 50-200 Schisto...

A Multi-layered Mamdani Fuzzy Soft Expert System is planned to diagnose HIVAIDS.
 The Proposed DHA-MLMFES an Automatic of HIV-AIDS exploitationMulti-layer (DHA-ML-MFES) knowledgeable System, willclassify the various stages like No-HIV-AIDS, HIV Stage 1, 2, 3 and Aids. ExpertSystem has seven input variables at layer-I four layer-II. At input,variables are headache, fatigue, aching muscles, ...