Malaria threatens the existence of large numbers of children in tropical and subtropical areas of the world. Increasing malaria parasite drug-unresponsiveness and insecticides-unresponsive mosquitoes lead to emergence of new malaria foci. Insecticide-impregnated bed nets and case detection/prompt treatment with artesunate-based drug combinations offer the most effective control measures. Counterfeit antimalarial drugs pose a serious threat […]
Together with HIV/AIDS and TB, malaria is one of the major public health challenges of the developing world. Prompt diagnosis is a priority. Rapid diagnostic tests are readily available, quick to yield results and can be effectively used in resource-limited settings. by Meghna Patel Malaria is a tropical disease caused by parasites of the genus […]
A goal of clinical proteomics is to find a disease indicator (biomarker) to identify the presence of, or monitor, a disease. It may be surprising that approximately one-third of all cancer cases could be effectively treated if detected at an early enough stage. As a heterogeneous disease, cancer evolves via multiple pathways and is a […]
The ROMA (Risk of Ovarian Malignacy) algorithm uses the CA-125 and HE4 blood markers to determine the likelihood that a pelvic mass is malignant. The test has been shown to aid gynaecologists in referring women to gynaecologic oncologists for surgery. by Dr Zivjena Vucetic Ovarian cancer is the leading cause of death from gynaecologic malignancies […]
Sample collection is an important aspect of scientific work because it shapes, to a great extent, the study design and methodology, both of which may influence the outcomes of scientific research. However, often in scientific evaluations of studies which involve both field sample collection and laboratory work, only the laboratory research aspect receives serious attention, […]
To be able to mobilise our healthcare system to treat patients as individuals rather than as members of larger, divergent groups, the IT Future of Medicine (ITFoM) initiative proposes to develop a new, data rich computation-based individualised medicine of the future, based on integrated molecular, physiological and anatomical models of every person (‘Virtual Patient’) in […]
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