Carmen 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)
2134 Background: An important problem in cancer chemotherapy is the design of drug dosage regimens such that at the end of treatment, the tumor burden is minimized, and the benefits are balanced against the toxic effects. We propose an approach based on neural networks (NN) control to optimize chemotherapy regimens. METHODS The tumor growth and the effect(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)
PURPOSE The aim of this study was to investigate the efficiency of the FOLFOX-4 regimen and to evaluate the pharmacokinetics of oxaliplatin in untreated patients with metastatic colorectal cancer. METHODS 43 patients were enrolled in the study. Patients received oxaliplatin 85 mg/m(2) as 2-h i.v. infusion, on day 1, and bolus 5-fluorouracil (5FU) 400(More)
Ultrasound imaging monitor of tumor angiogenesis and vascular evolution under chemotherapy is a major preoccupation in oncology medicine, where, combined with the practical experience of the medical personnel, dedicated software tools play a vital role. In this paper we present a software application with the purpose to assist specialized medical personnel(More)
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