Day 2 :
University of Iceland
Keynote: Similarity of patterning in behavioural interactions and on DNA: T-Patterns and structured hierarchical clustering in time and space
Time : 09:00-09:25
Magnus S Magnusson is a Research Professor, completed his PhD in 1983 from the University of Copenhagen. He has created the T-pattern model and detection algorithms implemented in THEME. He has focused on real-time organization of behavior, co-directed a two-year DNA analysis project, published numerous papers and given invited talks at numerous conferences (including AIMS and IFNA) and universities in Europe, USA and Japan. He was a Deputy Director from 1983-1988, Anthropology Laboratory, Museum of Natural History, Paris. He was a Temporary Professor at the University of Paris. Since 1991, he is a Founder, Director of the Human Behavior Laboratory, University of Iceland. Since 1995, he is in collaboration between 24 universities based on “Magnusson’s analytical model” initiated at the Sorbonne, Paris.
Structural and functional self-similarity between different levels of organization of matter and life is here considered beginning with a quick look at the evolution of the universe under the influence of a small number of forces some of which pull things together while others push them apart creating a self-similar fractal distribution of matter all the way out to the largest known structures created during 13.7 billion years of hierarchical structured clustering. A pattern type, called T-pattern, is then described. It is a hierarchical and self-similar tree structure based on a single relation between its branches called a critical interval relationship and may be seen as repeated statistical pseudo-fractal objects characterized by statistically significant translation symmetry. Special purpose T-pattern detection and analysis algorithms using an evolution method have been developed and implemented in the THEMETM PC software (by M.S. Magnusson, ©PatternVision Ltd) and are presented with some results of their application to the analysis of behavior and interactions. Firstly, at relatively slow time scale of human and animal interactions for which they were initially developed, and then at the much faster scale of interactions within populations of neurons in living rats brains. With this background of self-similarity, strong structural and functional analogies between human behavioral patterns and DNA patterns such as genes, products of real-time interaction processes, are discussed with some new consideration of apparent analogies between the structures and functions of life in the cities of proteins (cell city) and human cities, especially regarding education and specialization including the particular case of religious education.
Keynote: Projection of the impact of biomarker technology on medical diagnostics: Special focus on proteins
Time : 09:25-09:50
Laszlo Takacs is the CEO/CSO of Biosystems International. He funded Biosystems International in France and Hungary. Prior to Biosystems, he worked at Pfizer and Amgen in various management roles in biotech and drug R&D and translational medicine. Before his industrial experience, he was the Head of the Special Unit of NIAAA, National Institute of Health. He continues academic activities by teaching Medical Genome Biology at the University of Debrecen in Hungary. He holds an MD degree in General Medicine and a PhD in Molecular Sciences from Semmelweis University and the Academy of Sciences in Hungary.
Improvement of the resolution of global scale detection for all molecular classes (nucleic acids, proteins, metabolites) propels the revolution of molecular diagnostics. The new molecular profiling technologies are driving the paradigm shift of medicine, and expected to result in continued increase of life expectancy in the western world. Challenges include technical matters, information storage, dissemination and access as well as financial and reimbursement constrains.rnAn overview will be given in order to attempt to define the paradigm shift and to highlight some of the obvious challenges and barriers. Finally, the field of proteomics will be reviewed with special focus on technical limitations of global protein profiling technologies and their potential contribution to early disease diagnosis.