Society for Systems Biology & Translational Research (SSBTR) is a registered (and also both 12A & 80G certified) not-for-profit scientific society organizes an International Webinar Series Lectures on Translational Systems Biology
All are cordially invited.
For date, time and link and other details are as below:
GOOGLE MEET Link/url: https://meet.google.com/qjb-utgp-ymk
# Speaker : Professor Ernst Titovets IST : 16:00 Hour
Title : Novel
Nanofluidic Mechanism and Computational
Model of the Brain Water Metabolism
Abstract : Brain
water metabolism ensures the processes of cellular communication,
transit of the signaling molecules, neurotransmitters, cytokines and
substrates, participates in the clearance of pathogenic metabolites.
Many neurological conditions that present serious clinical problems
arise from altered fluid flow (e.g. Alzheimer’s disease, idiopathic
normal pressure hydrocephalus, migraine, traumatic brain injury and
stroke). At present, the orthodox theory fails to explain the
accumulated experimental evidence and clinical data on the brain
water metabolism. Modeling becomes an important approach to testing
current theories and developing new working mechanisms.
A
novel computational model of brain water metabolism has been
developed and explored. Using an interdisciplinary approach the
long-recognized nano-dimentionality of the brain interstitial space is
viewed as a nano-fluidic domain with the fluid flow there governed by
the slip-flow principles of nano-fluidics. Aquaporin-4 (AQP4) of the
astrocyte endfeet membranes ensures kinetic control over water
movement across the blood-brain barrier. The pulsatory intracranial
pressure presents the driving force behind the transcapillary water
flow. The model demonstrates good predictability in respect to some
physiological features of brain water metabolism and relevance in
explaining clinical conditions. The model may find its use in
neuro-biological research, development of the AQP4-targeted drug
therapy, optimization of the intrathecal drug delivery to the brain
tumours, in a research on a broad spectrum of
water-metabolic-disorder-related conditions.
Bio-sketch :
Professor Ernst Titovets, M.D., Ph.D. holds a position of Professor at
the Department of Neurosurgery, Republican Research and Clinical Center
of Neurology and Neurosurgery, Minsk, Belarus. He is a researcher,
author, translator and interpreter was born in Krasnoyarsk, Siberia. He
graduated from the Minsk State Medical Institute and undertook
post-graduate research in biochemistry. He earned his Ph. D. degree from
the Academy of Sciences of Belarus for his research on endergonic
transport of Ca++ by the mitochondria. His Doctor of Sciences Degree in
biology he obtained from the St. Petersburg State University, Russia for
his pioneering research on the biochemical action mechanism of new
amino derivatives of orthobenzoquinone. Appointed to a number of
scientific research councils, he has authored or co-authored four
research books, 14 patents and over 400 research papers and as an
interpreter, he translated three books. As an Author, he wrote a book
Oswald: Russian Episode that has appeared in three editions. The book
presents an in deep historic investigation of life of Lee Harvey Oswald,
an alleged assassin of the President John Kennedy. Currently he is
concentrated on a research on brain water metabolism and related issues
conducted from the nanofluidic approach. He is a principal researcher,
at the Republican Research and Clinical Centre of Neurology and
Neurosurgery in Minsk, Belarus where he heads a scientific research
group.
# Speaker : Professor Dimitrios A. Karras IST : 17:00 Hour
Title : An Overview of MRI-based Brain Tumors Diagnosis Using Artificial Intelligence and Machine Learning Methods
Abstract : Brain
tumor segmentation and diagnosis is an important task in medical image
processing. Early diagnosis of brain tumors plays an important role in
improving treatment possibilities and increases the survival rate of the
patients. Manual segmentation of the brain tumors for cancer diagnosis,
from large amount of MRI images generated in clinical routine, is a
difficult and time consuming task. There is a need for automatic brain
tumor image segmentation. The purpose of this lecture is to provide a
state of the art review of MRI-based brain tumor segmentation and
diagnosis methods and recent trends in the use of Artificial
Intelligence and Machine Learning methodologies to efficiently tackle
the problem. the State-of-the-art results and open problems will be
reviewed. Although there are several existing review papers, focusing on
traditional methods for MRI-based brain tumor image segmentation, this
lecture will focus on outlining the recent trends in this field
attempting an assessment of the current state as well as of the
developments to standardize MRI-based brain tumor segmentation and
diagnosis methods into daily clinical routine.
Bio-sketch :
Professor Dimitrios A. Karras received his Diploma and M.Sc. Degree in
Electrical and Electronic Engineering from the National Technical
University of Athens (NTUA), Greece in 1985 and the Ph. Degree in
Electrical Engineering, from the NTUA, Greece in 1995, with honors. From
1990 and up to 2004 he collaborated as visiting professor and
researcher with several universities and research institutes in Greece.
Since 2004, after his election, he has been with the Sterea Hellas
Institute of Technology, Automation Dept., Greece as associate professor
in Digital Systems and Signal Processing, till 12/2018, as well as with
the Hellenic Open University, Dept. Informatics as a visiting professor
in Communication Systems (the latter since 2002 and up to 2010). Since
1/2019 is Associate Prof. in Digital Systems and Intelligent Systems,
Signal Processing , in National & Kapodistrian University of Athens,
Greece, School of Science, Dept. General as well as adjunct Assoc.
Prof. Dr. with the EPOKA and CIT universities, Computer Engineering
Dept., Tirana. He has published more than 70 research refereed journal
papers in various areas of intelligent and distributed/multiagent
systems, pattern recognition, image/signal processing and neural
networks as well as in bioinformatics and more than 185 research papers
in International refereed scientific Conferences. His research interests
span the fields of intelligent and distributed systems, multiagent
systems, pattern recognition and computational intelligence, image and
signal processing and systems, biomedical systems, communications and
networking as well as security. He has served as program committee
member as well as program chair and general chair in several
international workshops and conferences in the fields of signal, image,
communication and automation systems. He is, also, former editor in
chief (2008-2016) of the International Journal in Signal and Imaging
Systems Engineering (IJSISE), academic editor in the TWSJ, ISRN
Communications and the Applied Mathematics Hindawi journals as well as
associate editor in various scientific journals, including CAAI, IET. He
has been cited in more than 2321 research papers, his H/G-indices are
20/48 and his Erdos number is 5. His RG score is 31.42.
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