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Researcher at Research Department
Ask questions about Ivo Provazník's research, publications, and ongoing work
Developed artificial neural networks for automated sleep scoring, significantly impacting sleep medicine research and diagnostics.
Developed taxonomy-independent binning and visualization methods for sequences in shotgun metagenomics, enhancing microbiome data analysis.
Implemented adaptive wavelet Wiener filtering for ECG signals, improving the accuracy and reliability of cardiac monitoring.
Investigated the properties and functions of mammalian metallothioneins, contributing to understanding their role in metal homeostasis and disease pathogenesis.
Conducted comparative analysis of high butanol tolerance and production in clostridia, advancing biofuel research.
Utilized dynamic time warping for the classification of genomic signals, enhancing genomic data analysis techniques.
Studied the phytotoxic action of naphthoquinone juglone on lettuce seedling roots, providing insights into plant physiology and biochemistry.
Created a system for real-time quality assessment of long-term ECG signals recorded by wearables, improving remote cardiac monitoring.
Ivo Provazník is a leading researcher in biomedical engineering and bioinformatics, focusing on AI-driven biological signal processing and the development of innovative healthcare technologies. His work spans from cardiac electrophysiology to metagenomics, contributing significantly to personalized medicine and drug discovery.
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