Laboratory of Biophysics and Bioinformatics
Address:Laboratory of Biophysics and BioinformaticsNeuroscience InstituteLithuanian University of Health SciencesEiveniu st. 4Kaunas LT-50161Lithuania
Phone: +370 37 302966
Head of the laboratory:
Prof. Algimantas Kriščiukaitis, PhD, email@example.com
Asta Kybartaitė-Žilienė, PhD, firstname.lastname@example.org
Aušra Saudargienė, PhD, email@example.com
Paulius Čižas, PhD, firstname.lastname@example.org
Robertas Petrolis, PhD, email@example.com
Domas Linkevičius, firstname.lastname@example.org
Laboratory short history
Laboratory of Biophysics and Bioinformatics was founded in 1990. Its origins go back to 1972, when in the Laboratory of Electrical Stimulation and Defibrillation of the Heart, the research group on electrophysiological was created. In 1982 on the base of cardiac electrophysiology research group the Laboratory of Cardiorythmology and Electrical Stimulation was founded. In 1990 the latter part of the laboratory staff has established Laboratory of Biophysics of Excitable Systems (recent – Laboratory for Biophysics and Bioinformatics).
Objectives of laboratory were: investigations of myocardial passive and active properties under normal conditions and under ischemia, investigation of intercellular communication mechanisms on the single channel level and mathematical modelling of intercellular communication; and evaluation of functional properties of viable tissues and systems: biophysical modelling based multivariate analysis of multimodal biomedical data.
Title: Evaluation of functional properties of viable tissues and systems: biophysical modelling based multivariate analysis of multimodal biomedical data
Recent advances in electronics and information technologies opens new possibilities of multimodal registration of acoustical, and electrical signals and optical images in extraordinary variety of spectral bands comprehensively reflecting valuable diagnostical information in multimodal way about wide range of objects, starting from isolated cells, through tissues, organs till systems of whole organism. Effective usage of such possibilities using advanced imaging and mathematical information processing methods opens the way for breakthrough in most actual areas of healthcare. Effective diagnostics, prevention and control of age related degenerative processes in human body could be achieved using biophysical models based imaging and quantitative evaluation methods.
Researchers of Laboratory for Biophysics and Bioinformatics, having sufficient experience and basic technological resources are planning to elaborate biophysical models based biomedical signal and image analysis methods able to detect pathological changes in living tissues and systems, evaluate interrelations of several concurrent processes causing pathogenesis of the diseases. It is planned to create: a specialized methodology for elaboration of tissue structure/pattern evaluation methods; methodology for usage of multivariate analysis for multimodal signals and images; strategies for elaboration of biophysical models based multimodal signal and image analysis for functional properties of organs and systems in human body.
The work will be performed in collaboration with Laboratories of Ophthalmology and Biochemistry, Department of Neurology, and Institute for Digestive Research.
2016-2018 – contribute in the EC programme Horizon 2020 funded project ID 650003 “EU FET Flagship Human Brain Project”, dr. A.Saudargienė
2013-2015 – collaboration in post doc project BioMONDA "Multimodal data analysis of optic nerve and it's environment based on biophysical models", funded by Research Council of Lithuania, head prof. A.Kriščiukaitis, dr. Asta Kybartaitė-Žilienė
2010-2011 – collaboration in project „Multivariate analysis based non invasive evaluation of central haemodynamics and prognosis of patient status” No. MIP-68/2010, funded by Research Council of Lithuania, head prof. A.Kriščiukaitis
Université de Rennes 1, France; Pontifícia Universidade Católica do Rio Grande do Sul / Microgravity Centre, Porto Alegre, Brazil; Albert Einstein College, NY, USA; State University of New York, USA; University of Michigan, USA; Free University of Berlin, Germany.
|2017 - 2011 main publications|
Updated on 1 March 2018