Advancing translational research with the Semantic Web

<p>Abstract</p> <p>Background</p> <p>A fundamental goal of the U.S. National Institute of Health (NIH) "Roadmap" is to strengthen <it>Translational Research</it>, defined as the movement of discoveries in basic research to application at the clinical level. A significant barrier to translational research is the lack of uniformly structured data across related biomedical domains. The Semantic Web is an extension of the current Web that enables navigation and meaningful use of digital resources by automatic processes. It is based on common formats that support aggregation and integration of data drawn from diverse sources. A variety of technologies have been built on this foundation that, together, support identifying, representing, and reasoning across a wide range of biomedical data. The Semantic Web Health Care and Life Sciences Interest Group (HCLSIG), set up within the framework of the World Wide Web Consortium, was launched to explore the application of these technologies in a variety of areas. Subgroups focus on making biomedical data available in RDF, working with biomedical ontologies, prototyping clinical decision support systems, working on drug safety and efficacy communication, and supporting disease researchers navigating and annotating the large amount of potentially relevant literature.</p> <p>Results</p> <p>We present a scenario that shows the value of the information environment the Semantic Web can support for aiding neuroscience researchers. We then report on several projects by members of the HCLSIG, in the process illustrating the range of Semantic Web technologies that have applications in areas of biomedicine.</p> <p>Conclusion</p> <p>Semantic Web technologies present both promise and challenges. Current tools and standards are already adequate to implement components of the bench-to-bedside vision. On the other hand, these technologies are young. Gaps in standards and implementations still exist and adoption is limited by typical problems with early technology, such as the need for a critical mass of practitioners and installed base, and growing pains as the technology is scaled up. Still, the potential of interoperable knowledge sources for biomedicine, at the scale of the World Wide Web, merits continued work.</p

Role of Withaferin A as a Neuroprotectant against Beta Amyloid Induced Toxicity and associated mechanism

Neurological disorders are the biggest concern globally and ageing contributes in worsening the disease scenarios. In AD or AD like diseases, there is abnormal accumulation of extracellular amyloid beta produced due to abnormal processing of the transmembrane amyloid precursor protein, by β and γ-secretases. It spreads in the cortical and limbic regions of the brain leading to neuronal toxicity, impairment in memory and neurological functions. Aβ deposition in the CNS is common in aging HIV patients. Neurotoxic protein Tat, results in increased Aβ in combination with drugs of abuse cocaine. We examined the role of Withaferin A, against Aβ induced neurotoxicity. Our in-vitro dose optimization study demonstrates that lower concentrations (0.5–2 μM) of WA significantly reduce the Aβ40, without inducing cytotoxicity in the APP plasmid transfected SH-SY5Y cells (SHAPP). We demonstrate that Aβ secretion is increased in the presence of Tat (50 ng/ml) and coc (0.1 μM), WA reduces the Tat and coc induced increase in Aβ40. Additionally, we studied the role of WA against NF-kB mediated neuroinflammation, and observed that WA inhibits the expression of NFkB2 and RELA transcription factors, which play a major role in the expression of inflammatory chemokines. Further, to address the issue of minimal drug bioavailability in the CNS, we developed the WA loaded liposomal nanoformulation (WA-LNF) and characterized its size (499+/-50nm), toxicity and drug binding efficacy (28%). Our in-vitro 3D BBB transmigration of WA-LNF demonstrated ~40% transmigration efficiency. Furthermore, it was imperative for us to understand the mechanism of action of WA, therefore we studied the molecular mechanism of interaction of WA with Aβ protein by in-silico molecular dynamics simulations. We demonstrated that WA binds to the middle region of Aβ protein and the amino acid motif involved were FAEDVGS highlighting the mid-region Aβ capture by WA. 3 Hydrogen bonds were formed between WA and the amino acids, ASN17, GLY15 and SER16. This study reports WA as a potent neuroprotectant against amyloid induced neurotoxicity. Our study may have an immense therapeutic potential to target Aβ in the CNS, in the ageing patients and/or PLWH and/or ageing drug abusers

Automatic detection of disorientation among people with dementia

Ageing is characterized by decline in cognition including visuospatial function, necessary for independently executing instrumental activities of daily living. The onset of Alzheimer’s disease dementia exacerbates this decline, leading to major challenges for patients and increased burden for caregivers. An important function affected by this decline is spatial orientation. This work provides insight into substrates of real-world wayfinding challenges among older adults, with emphasis on viable features aiding the detection of spatial disorientation and design of possible interventions

Design of a Framework for Cognitive Support in Dementia Care for the Elderly

Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceThis section provides an overview of the magnitude of dementia care in communities and health care systems. It introduces the background and context for the utilization of technology and digital solutions to address mental health issues in the elderly, specifically focusing on dementia. The objective is to propose a design framework for the development of health technology that caters to caregivers of individuals living with dementia. A brief review of the latest studies related to the successful adoption of technology for dementia and cognitive impairment decline will serve as the foundation for the proposal of this thesis. The following paragraphs approach the background and context of the healthcare problems related to ageing and introduce dementia from a technological perspective. The research question is presented, along with the proposed objectives to address that question. Furthermore, the relevance of this study within the context of information management is summarized

Machine Learning Research Trends in Africa: A 30 Years Overview with Bibliometric Analysis Review

In this paper, a critical bibliometric analysis study is conducted, coupled with an extensive literature survey on recent developments and associated applications in machine learning research with a perspective on Africa. The presented bibliometric analysis study consists of 2761 machine learning-related documents, of which 98% were articles with at least 482 citations published in 903 journals during the past 30 years. Furthermore, the collated documents were retrieved from the Science Citation Index EXPANDED, comprising research publications from 54 African countries between 1993 and 2021. The bibliometric study shows the visualization of the current landscape and future trends in machine learning research and its application to facilitate future collaborative research and knowledge exchange among authors from different research institutions scattered across the African continent