Alexandru G. Floares

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Currently, there are some paradigm shifts in medicine, from the search for a single ideal biomarker, to the search for panels of molecules, and from a reductionistic to a systemic view, placing these molecules on functional networks. There is also a general trend to favor non-invasive biomarkers. Identifying non-invasive biomarkers in high-throughput data,(More)
—Chronic hepatitis B can evolve to cirrhosis and liver cancer. Interferon is the only effective treatment, for carefully selected patients, but it is very expensive. Some of the selection criteria are based on liver biopsy, an invasive, costly and painful medical procedure. Therefore, developing efficient non-invasive selection systems, could be in the(More)
Mathematical modeling gene regulatory networks is important for understanding and controlling them, with various drugs and their dosage regimens. The ordinary differential equations approach is sensible but also very difficult. Our reverse engineering algorithm (RODES), based on neural networks feedback linearization and genetic programming, takes as inputs(More)
The aim of this study was to find the set of biomarkers based on plasma microRNAs which can predict in a noninvasive way the diagnosis of bladder cancer. We presented here a methodology and the related concepts to develop intelligent molecular biomarkers using knowledge discovery in data and artificial intelligence methods. To the best of our knowledge,(More)
In chronic hepatitis C and B, which can progress to cirrhosis and liver cancer, Interferon is the only effective treatment, for carefully selected patients, but it is very expensive. Some of the selection criteria are based on liver biopsy, an invasive, costly and painful medical procedure. Developing an efficient selection system, based on non-invasive(More)
Clinical Decision Support Systems (CDSS) have the potential to replace painful, invasive, and costly procedures , to optimize medical decisions, improve medical care, and reduce costs. An even better strategy is to make use of a knowledge discovery in data approach, with the aid of artificial intelligence tools. This results in transforming conventional(More)
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