Publication date: 
2016/03/16
Graduates of the Faculty of Biomedical Engineering, Ing. Jakub Novák and Ing. Jiri Hanousek are thought to contribute to the development of cancer diagnostics from the values of tumor markers. Biant (Bayesian Intelligent Associative Network for Tumor Analysis), a unique system, can determine the types and likelihood of occurrence of cancer diagnoses, including possible locations of metastasis.

Biant is an expert web system for supporting of physician´s decisions, based on real data from thousands of patients who were evaluated at a hospital in Pilsen. The system uses, among other things, local epidemiology of population i. e. it works with the likelihood that a person of a given locality, ethnicity, age and gender can become ill with a particular type of cancer.

The application may also recommend other suitable tumor markers for the measurement, distinguish malignant tumors, or to diagnose the possible causes unrelated to cancer, such as pregnancy or smoking. Assessed results are presented to a physician as a structured report. With the ability to detect the disease at an early stage, some patients may avoid some complicated, time-consuming and unpleasant examinations.

Young scientists that work on the project, cooperate with doc. RNDr. Ladislav Pecen, PhD. of  the Institute of Computer Science at Academy of Sciences of the Czech Republic and with Prof. MUDr. Ondřej Topolčan, PhD. of the University Hospital in Pilsen.

For more information about the project, visit the website  http://almadiagnostics.com/.