Keynote Speaker I

Prof. Ralf Hofestädt
Bielefeld University, Germany


Prof. Ralf Hofestädt studied Computer Science and Bioinformatics at the University of Bonn. He finished his PhD 1990 (University Bonn) and his Habilitation (Applied Computer Science and Bioinformatics) 1995 at the University of Koblenz. From 1996 to 2001, he was Professor for Applied Computer Science at the University of Magdeburg. Since 2001, he is Professor for Bioinformatics and Medical Informatics at the University Bielefeld. The research topics of the department concentrate on biomedical data management, modeling and simulation of metabolic processes, parallel computing and multimedia implementation of virtual scenarios.


Speech Title: "New Drug Targets for the Treatment of Co-Morbid Multifunctional Diseases"


A set of genes has been prioritized to find genes potentially involved in asthma and hypertension comorbidity. The prioritization was carried out using well-known methods of textmining. Furthermore, a new database was developed and implemented, which presents the positive and negative drug list for asthma and hypertension. A web based implementation of this data base allows the access to this information via internet (https://genconet.kalis-amts.de).


Keynote Speaker II

Prof. Andre Ribeiro
Tampere University of Technology, Finland


Andre Ribeiro (andre.ribeiro AxT tut.fi) is a Professor at University of Tampere, Finland. He was born in 1976, graduated in Physics in the University of Lisbon (1999), and has a PhD in Physics Engineering from IST, Technical University of Lisbon, Portugal (2004). From 2004-07, he was a Postdoc at the University of Calgary, Canada. Since 2008, he is the PI of the Laboratory of Biosystem Dynamics (LBD) at Tampere University of Technology, Finland. Since June 2017, he is a Professor at the BiomediTech Institute, TUT. His studies focus on the in vivo dynamics and regulatory mechanisms of bacterial gene expression and genetic circuits at the single-cell, single-molecule level using time-lapse microscopy, stochastic models, molecular biosensors, single-cell signal processing, and synthetic gene engineering. The aims are to understand how genes and genetic circuits are regulated and unravel their range of functionalities, thereby assisting in the comprehensive engineering of synthetic circuits for regulating cellular processes. He also studies the biophysics inside cells, to better understand their spatial-dynamics organization.


Speech Title: "Quantitative Characterization and Modelling of the in vivo Kinetics of Transcription Halting in Escherichia coli"


Abstract: The genetic circuits of Escherichia coli are poised with regulatory mechanisms that have evolved with the purpose of handling the mechanical challenges of the process of transcription. One of these challenges is the accumulation of positive supercoiling during transcription elongation, which can cause transcription halts. As these events are common, particularly in highly expressed operons, they need to be accounted for when studying the dynamics of gene expression in this organism. Applying a methodology based on quantitative fluorescence-based steady-state assays, we analyze in detail the dynamics of transcription halting. In particular, we make use of fluorescently tagged RNA molecules along with measurements of Gyrase and RNA polymerase concentrations in live cells, to characterize how often does transcription halts and how long does it remain locked as a function of the dynamics of the gene of interest. After characterizing this dynamical component in one gene, we propose and exemplify how to make use of an integrative approach that combines data from more genes in order to develop a model capable of predicting the kinetics of halting of any given gene based on a set of parameters of its dynamics of transcription. These models are expected to provide a better insight on the dynamical limitations of the gene regulatory network of E. coli.


Keynote Speaker III

Dr. Gert E Nilsson
Wheelsbridge AB, Sweden


Gert E Nilsson is the founder and president of Wheelsbridge AB that developed and brought the Tissue Viability Imaging technology to market. He is former professor of Biomedical Instrumentation at the Department of Biomedical Engineering, Linköping University, Linköping, Sweden and inventor of the Evaporimeter (EP1) for measurement of transepidermal water loss, the Laser Doppler Flowmeter (Periflux) for monitoring of skin blood flow, the Laser Doppler Perfusion Imager (PIM) for mapping of tissue microcirculation and the Tissue Viability Imager (TiVi) for assessment of erythema and blanching and other skin parameters. Dr. Nilsson has served as head of the Department of Biomedical Engineering, Linköping University, 1990 – 1993, coordinator for the EU-project High Resolution Laser Doppler perfusion imaging dermatology (HIRELADO), 1995 – 2000 and director for the Competence Centre NIMED at Linköping University 2002-2005.


Speech Title: "Using the Digital Camera as a Transducer for Assessment of Skin Parameters"


Abstract: Although skin care product candidates should be carefully tested for both safety and efficacy prior to being released on the market, far-reaching claims associated with the performance of these new products are frequently difficult to substantiate. This is primarily due to a lack of suitable technologies capable of accurately assessing alterations in skin properties effectively at the point of sales as well as in the laboratory. Polarisation Spectroscopy Imaging (SPI) – utilizing high-end digital cameras - is an emerging technology that maps the microcirculation of the skin and other dermal properties by looking beneath the surface layer and capturing sub-epidermal images. This technology, also known as Tissue Viability Imaging (TiVi), employs a methodology uniquely capable of profiling the selective light-absorption behaviour of haemoglobin molecules present in red blood cells. These molecules absorb a significantly greater proportion of light in the green wavelength band compared to that of the surrounding tissue. In this respect, haemoglobin molecules are reliable biological markers for mapping and quantifying skin erythema and blanching. SPI is particularly useful for assessing cosmetic and personal care safety, efficacy and consistency with regulatory guidelines.


Invited Speaker I

Prof. Kolyo Onkov
Agricultural University, Bulgaria


Prof. Kolyo Onkov has graduated from Technical University in Prague, Czech Republic and received doctoral degree from Czech Academy of Sciences, Institute of Information Theory and Automation. Since 2012 he is Professor of Computer Science. The research interests of Prof. Kolyo Onkov are focused on concepts for hierarchical structuring and analysis of multidimensional time series databases in agriculture and demography. He has developed and applied data mining algorithms and statistical software techniques to study fish species at risk and biodiversity. Prof. Kolyo Onkov also works on integrating and modelling expert chemical and biological information used in Plant medicine (Phytopharmacy). He always strives to find practical solutions to transform heterogeneous, semi-structured chemical and biological data into intelligent computer based system. Prof. Kolyo Onkov has published 3 books and more than 65 scientific papers. He has supervised 4 PhD students in Computer science and assisted to PhD students in natural and agricultural sciences on data processing and analysis.


Speech Title: "Computational Procedure for Analysis of Fish Diversity in Greece"


Abstract: Fishery Time Series Database of Greece stores time series by means of spatial, biological, technical and economic aspects. Through the aggregation, the time series on fish catch quantity by species, areas and regions and total are presented in the form of data cubes. Computational procedure estimates Shannon diversity index on data cubes respecting fish groups. The computation of descriptive statistics on time series containing the obtained values of Shannon index gives the opportunity for a comparative and multi-scale analysis on three levels: total, fish region and fish area. The computational procedure provides also the extraction of some specific features of the fish diversity dynamics. In addition, the differences and similarities between fish diversity of Greek regions and areas are discussed. The developed procedure and software can be also applied on other countries and regions on sea fish species and freshwater fish species. Finally, spatial and temporal estimation of fish diversity has ecological and economic aspects. The obtained information can be useful for an effective management of fish resources.







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