Mira Marcus-KalishTel Aviv University | TAU · President office
Mira Marcus-Kalish
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21
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Introduction
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Publications
Publications (21)
The age of big data has fueled expectations for accelerating learning. The availability of large data sets enables researchers to achieve more powerful statistical analyses and enhances the reliability of conclusions, which can be based on a broad collection of subjects. Often such data sets can be assembled only with access to diverse sources; for...
The age of big data has fueled expectations for accelerating learning. The availability of large data sets enables researchers to achieve more powerful statistical analyses and enhances the reliability of conclusions, which can be based on a broad collection of subjects. Often such data sets can be assembled only with access to diverse sources; for...
Many scientific systems are studied using computer codes that simulate the phenomena of interest. Computer simulation enables scientists to study a broad range of possible conditions, generating large quantities of data at a faster rate than the laboratory. Computer models are widespread in neuroscience, where they are used to mimic brain function...
Mutations in the LRRK2 and GBA genes are the most common inherited causes of Parkinson's disease (PD). Studies exploring phenotypic differences based on genetic status used hypothesis-driven data-gathering and statistical-analyses focusing on specific symptoms, which may influence the validity of the results. We aimed to explore phenotypic expressi...
Identifying disease signatures in order to facilitate accurate diagnosis/treatment has been the focus of research efforts in the last decade. However, the term “disease signature” has not been properly defined, resulting in inconsistencies between studies, as well as limited ability to fully utilize the tools/information available in the evolving f...
Background:
The accumulation of data and its accessibility through easier-to-use platforms will allow data scientists and practitioners who are less sophisticated data analysts to get answers by using big data for many purposes in multiple ways. Data scientists working with medical data are aware of the importance of preprocessing, yet in many cas...
Plurality and individuality of hepatocellular carcinoma: PPPM perspectives
Krishna Chander Sridhar, Olga Golubnitschaja
Department of Radiology, Univeristy of Bonn, Bonn, Germany Correspondence: Olga Golubnitschaja (olga.golubnitschaja@ukb.uni-bonn.de) – Department of Radiology, Univeristy of Bonn, Bonn, Germany The EPMA Journal 2016, 7(Suppl 1)...
Health informatics is facing many challenges these days, in analysing current medical data and especially
hospital data towards understanding disease mechanisms, predicting the course of a disease or assist in
targeting potential therapeutic options. Alongside the promises, many challenges emerge. Among the major
ones we identify: current diagnosis...
By mistake the following acknowledgement text was missing in the originally published paper:
Acknowledgement. The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 604102 (Human Brain Project).
One of the goals of the European Flagship Human Brain Project is to create a platform that will enable scientists to search for new biologically and clinically meaningful discoveries by making use of a large database of neurological data enlisted from many hospitals. While the patients whose data will be available have been diagnosed, there is a wi...
Erythropoietin (Epo) has been shown to improve myocardial function in models of experimental myocardial infarction, but has also been associated with a rise in thromboembolic events. Thus, the aim of this study was to investigate the influence of Epo on platelet activation and coagulation in patients with acute myocardial infarction (AMI).
The stud...
The simultaneous systematic analysis (SSA) approach, emanating from the novel achievements in science and technology, is targeted to provide a broad insight into the human body physical and mental functioning in various surroundings. Thus it paves the way to personalized, preventive and predictive medicine. The goal is to form an ongoing collaborat...
We studied whether slow cerebellar motor-learning is related to low signal-to-noise ratio (SNR) of the sensory signals at the pontine nucleus (PN). Rats’ PN activity was recorded during baseline and in response to auditory-stimuli. Response SNR was associated inversely with the level of baseline activity. To test the implications of this finding on...
This report is the collective product of word-leading experts working in the branches of integrative medicine by predictive, preventive and personalised medicine (PPPM) under the coordination of the European Association for Predictive, Preventive and Personalised Medicine. The general report has been prepared as the consortium document proposed at...
Parkinson's disease is a common neurodegenerative disorder with the pathology of
α
-synuclein aggregation in Lewy bodies. Currently, there is no available therapy that arrests the progression of the disease. Therefore, the need of animal models to follow
α
-synuclein aggregation is crucial.
Drosophila melanogaster
has been researched extensively as...
A simultaneous systematic analysis approach is presented to enable a responsible, affordable Predicitve, Preventive, Personalized and Participatory Medicine (PPPPM) to ALL citizens. It is our contention that time has come and science and technology have reached the stage to relate to the individual functioning in the physical and mental surrounding...
In this paper we propose a Rapid Prototyping Environment (RPE) for real-time biosignal analysis including ECG, EEG, ECoG and EMG of humans and animals requiring a very precise time resolution. Based on the previous RPE which was mainly designed for developing Brain Computer Interfaces (BCI), the present solution offers tools for data preprocessing,...