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Depression is one of the most prevalent mental disorders, burdening many people world-wide. A system with the potential of serving as a decision support system is proposed, based on novel features extracted from facial expression geometry and speech, by interpreting non-verbal manifestations of depression. The proposed system has been tested both in gender independent and gender based modes, and with...
This study develops a framework for the detection and analysis of stress/anxiety emotional states through video-recorded facial cues. A thorough experimental protocol was established to induce systematic variability in affective states (neutral, relaxed and stressed/anxious) through a variety of external and internal stressors. The analysis was focused mainly on non-voluntary and semi-voluntary facial...
Non-verbal information portrayed by human facial expression, apart from emotional cues also encompasses information relevant to psychophysical status. Mouth activities in particular have been found to correlate with signs of several conditions; depressed people smile less, while those in fatigue yawn more. In this paper, we present a semi-automated, robust and efficient algorithm for extracting mouth...
Demand for analyzing very large datasets is increasing, especially with the introduction of chromatin immunoprecipitation sequencing which is a recent method of Next Generation Sequencing used to analyze protein interactions with DNA. The development of new technologies is revolutionizing genome-wide analysis and scientists' abilities to have a better understanding of the biological meaning but inferring...
Depression is one of the most common mental disorders affecting millions of people worldwide. Developing adjunct tools aiding depression assessment is expected to impact overall health outcomes and treatment cost reduction. To this end, platforms designed for automatic and non-invasive depression assessment could help in detecting signs of the disease on a regular basis, without requiring the physical...
Stress and anxiety heavily affect the human wellbeing and health. Under chronic stress, the human body and mind suffers by constantly mobilizing all of its resources for defense. Such a stress response can also be caused by anxiety. Moreover, excessive worrying and high anxiety can lead to depression and even suicidal thoughts. The typical tools for assessing these psycho-somatic states are questionnaires,...
Wilms’ tumor, or nephroblastoma, is a cancer of the kidneys that typically occurs in children and rarely in adults. Around 10 % of Wilms’ tumor patients are diagnosed having a concurrent syndrome that enhances the risk of Wilms’ tumor. A screening method for early detection of Wilms’ tumor in these patients would be beneficial, since the size or stage of a tumor is related to outcome. In this paper,...
Wilms tumor, or nephroblastoma, is a cancer of the kidneys that typically occurs in children and rarely in adults. Around 10% of Wilms tumor patients are diagnosed having a concurrent syndrome that enhances the risk of Wilms tumor. A screening method for early detection of Wilms tumor in these patients would be beneficial, since the size or stage of a tumor is related to outcome. We introduce a miRNA...
Telepathology, the practice of pathology at a long distance, has advanced continuously since 1986. Today, almost 3 decades later, virtual slide telepathology has become a promising tool for providing re-review of surgical pathology cases as part of a quality assurance program but also for educational purposes. In this paper we present the Central Review for Pathology images platform (CRP), developed...
In order to diagnose epilepsy, neurologists rely on their experience, performing an equal assessment of the electroencephalogram and the clinical image. Since misdiagnosis reaches a rate of 30% and more than one-third of all epilepsies are poorly understood, a need for leveraging diagnostic precision is obvious. With the aim at enhancing the clinical image assessment procedure, this paper evaluates...
Current advances in video surveillance systems for health purposes at patient's homes, usually for the elderly and patients with chronic conditions, in conjunction with the latest achievements in vision-based human activity monitoring and motion analysis, create exciting opportunities and novel service-scenarios for the home monitoring of patients with epilepsy. Such innovative service platforms are...
The assessment of an epileptic patient's clinical image during seizure manifestations is equally important for a correct disease diagnosis as are the findings in the electroencephalogram (EEG). So far, the EEG has been studied extensively and these efforts have brought significant benefits in epileptology by providing well defined patterns, quantitatively describing epileptic events. The same cannot...
The analysis of biological data produced by state of the art high throughput technologies like DNA microarrays presents many challenges due both to the domain itself (e.g. high dimensionality) and the technologies themselves (e.g. noisy data). In this paper we advocate the exploitation of existing biological knowledge in order to guide the cluster analysis of gene expression data. To this end we present...
The identification of transcriptional biomarkers or “signatures” in the peripheral blood is of great importance especially for neurological disorders, such as epilepsy, since brain is inaccessible and sensitive to permanent damage. The technology of gene expression analysis with DNA microarrays allows the simultaneous examination of the mRNA from the whole gemone and can give clues to the disease...
Motion is one of the most important characteristics in clinical epileptology. In developing an integrated motion analysis system for epileptic patients or children with neurological disorders (e.g. ADHD) we surveyed and analyzed current efforts in vision-based human motion analysis in epilepsy as well as all possible forms of motion typically encountered in known epileptic syndromes. This paper presents...
Web services integration has been a vigorous research area for the last years. With the introduction of the semantic Web the publication of expressive metadata in a shared knowledge framework enables the deployment of services that can intelligently use Web resources. Syntactic and semantic interoperability of services is crucial for services integration and complex scientific workflows creation....
An increasing number of studies have profiled gene expressions in tumor specimens using distinct microarray platforms and analysis techniques. With the accumulating amount of microarray data, one of the most challenging tasks is to develop robust statistical models to integrate their findings. We compare some recent methodologies on the field, with respect to ER status, and focus on a unified among...
Recent advances in the field of bioinformatics present a number of challenges in the secure and efficient management and analysis of biological data resources. Workflow technologies aim to assist scientists and domain experts in the design of complex, long running, data and computing intensive experiments that involve many data processing and analysis tasks with the objective of generating new knowledge...
Web Services and grid-enabled scientific workflows are of paramount importance for the realization of efficient and secure knowledge discovery scenarios. This paper presents a Grid-enabled Genotype-to-Phenotype discovery scenario (GG2P), which is realized by a respective scientific workflow. GG2P supports the seamless integration of SNP genotype data sources, and the discovery of indicative and predictive...
The recent advances in the field of bioinformatics present a number of challenges in the secure and efficient management and analysis of biological data resources. Workflow technologies aim to assist scientists and domain experts in the design of complex, long running, data and computing intensive experiments that involve many data processing and analysis tasks. In this paper we present a bioinformatics...
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