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Medical Algorithm Provides Hope for Older Women

By IGI Global on Jun 11, 2010
Here's good news for anyone concerned about ovarian cancer: new research may help identify early stages of the disease. Ovarian cancer is an often fatal type of cancer because it is frequently diagnosed too late to be successfully treated. Because of this, many doctors have sought for a way to detect the disease earlier. The study, which was led by Dr. Karen Lu, University of Texas, USA, developed the "Risk of Ovarian Cancer Algorithm" (ROCA).

Women in the study underwent a specific blood test yearly. Those who reached a certain level underwent a follow-up test in three months. In that group, those who still reached a certain level underwent ultrasound and had a consultation to discuss possible surgery. Using this medical algorithm, there were virtually no false-positives, and no cases of invasive ovarian cancer were missed. A larger trial study is underway now to test the ROCA method to see if it should be recommended for women everywhere after a certain age. ( www.businessweek.com/lifestyle/content/healthday/639338.html)

IGI Global, an information science and technology publisher, is making great strides in fulfilling the need for research covering this subject area. The International Journal of Computational Models and Algorithms in Medicine (IJCMAM) (editor-in-chief Aryya Gangopadhyay, University of Maryland Baltimore County, USA) provides comprehensive coverage of computational capabilities, prototypes, and algorithms for medical applications. IJCMAM covers methods for organizing, retrieving, managing, and discovering data found in medicine, as well as includes articles that deal with different types of data such as numeric, text, temporal, spatial, and multimedia. This journal offers state-of-the-art research on unique characteristics of issues in medicine and innovative techniques to solve them, like the ovarian cancer algorithm developed by Dr. Lu.

International Journal of Computation Models and Algorithms in Medicine Dr. Gangopadhyay, the editor-in-chief contends that "the purpose of this journal is to bridge two apparently disparate areas, namely medicine and computational models and algorithms that can benefit each other by cross-pollination of ideas, methods and applications. On the one hand, medicine, and more broadly, healthcare, represents arguably one of the highest impact industries both in terms of quality of life afforded to human kind, as well as cost incurred by societies across the globe. On the other hand, computational models and algorithms, and more broadly, information technology, represent arguably one of the highest enablers of technological innovation. Thus, the goal of the International Journal of Computational Models and Algorithms in Medicine is to provide comprehensive coverage of computational capabilities, prototypes, and algorithms for medical applications." For more information including details on subscriptions and submissions, and a free sample issue of the journal, visit www.igi-global.com/ijcmam.

Among Other Related Titles Are:

• Biocomputation and Biomedical Informatics: Case Studies and Applications ( www.igi-global.com/Bookstore/TitleDetails.aspx?TitleId=104)
• Symmetrical Analysis Techniques for Genetic Systems and Bioinformatics: Advanced Patterns and Applications ( www.igi-global.com/Bookstore/TitleDetails.aspx?TitleId=962)
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