Clinical and biological data on the use of hydroxychloroquine against SARS‐CoV‐2 could support the role of the NLRP3 inflammasome in the pathogenesis of respiratory disease
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Medical Virology"
DOI: 10.1002/jmv.26217
Abstract: The use of hydroxychloroquine (HCL) has been very common in countries with a rapid spread of coronavirus disease 2019 (COVID-19), although controversial and the subject of heated scientific discussions with implications for the whole society.… read more here.
Keywords: data use; use hydroxychloroquine; disease; clinical biological ... See more keywords
Genomics, bio specimens, and other biological data: Current status and future directions
Sign Up to like & getrecommendations! Published in 2018 at "Medical Physics"
DOI: 10.1002/mp.12912
Abstract: Recent technological advances have allowed for a more sophisticated understanding of the biology of tumors and an ability to generate massive data at an unprecedented pace. These advances now routinely allow for the assessment of… read more here.
Keywords: specimens biological; genomics bio; bio specimens; cancer ... See more keywords
Targeting bioactive compounds in natural extracts - Development of a comprehensive workflow combining chemical and biological data.
Sign Up to like & getrecommendations! Published in 2019 at "Analytica chimica acta"
DOI: 10.1016/j.aca.2019.04.038
Abstract: In natural product drug discovery, several strategies have emerged to highlight specifically bioactive compound(s) within complex mixtures (fractions or crude extracts) using metabolomics tools. In this area, a great deal of interest has raised among… read more here.
Keywords: compounds natural; biological data; natural extracts; targeting bioactive ... See more keywords
Combining spatial modeling tools and biological data for improved multispecies assessment in restoration areas
Sign Up to like & getrecommendations! Published in 2020 at "Biological Conservation"
DOI: 10.1016/j.biocon.2020.108713
Abstract: Abstract Habitat restoration is one of the actions to reduce landscape fragmentation by promoting connectivity and thus biodiversity. But knowing where to implement these habitats is a major issue and planners lack guidance for answering… read more here.
Keywords: combining spatial; habitat; connectivity; restoration ... See more keywords
Computing Platforms for Big Biological Data Analytics: Perspectives and Challenges
Sign Up to like & getrecommendations! Published in 2017 at "Computational and Structural Biotechnology Journal"
DOI: 10.1016/j.csbj.2017.07.004
Abstract: The last decade has witnessed an explosion in the amount of available biological sequence data, due to the rapid progress of high-throughput sequencing projects. However, the biological data amount is becoming so great that traditional… read more here.
Keywords: data analytics; platforms big; computing platforms; big biological ... See more keywords
Analytical fuzzy approach to biological data analysis
Sign Up to like & getrecommendations! Published in 2017 at "Saudi Journal of Biological Sciences"
DOI: 10.1016/j.sjbs.2017.01.027
Abstract: The assessment of the physiological state of an individual requires an objective evaluation of biological data while taking into account both measurement noise and uncertainties arising from individual factors. We suggest to represent multi-dimensional medical… read more here.
Keywords: fuzzy membership; fuzzy approach; approach biological; analytical fuzzy ... See more keywords
Longitudinal big biological data in the AI era
Sign Up to like & getrecommendations! Published in 2025 at "Molecular Systems Biology"
DOI: 10.1038/s44320-025-00134-0
Abstract: Generating longitudinal and multi-layered big biological data is crucial for effectively implementing artificial intelligence (AI) and systems biology approaches in characterising whole-body biological functions in health and complex disease states. Big biological data consists of… read more here.
Keywords: big biological; multi omics; biological data; biology ... See more keywords
Utility of clinico-biological data for long-term prognosis of head and neck terminal cancer
Sign Up to like & getrecommendations! Published in 2017 at "Acta Oto-Laryngologica"
DOI: 10.1080/00016489.2017.1299940
Abstract: Abstract Objective: The prognosis of terminal head and neck cancer is traditionally determined using indices such as the palliative prognosis index. We aimed to develop an alternative prognosis index using clinico-biological data. Methods: This retrospective… read more here.
Keywords: prognosis; clinico biological; cancer; biological data ... See more keywords
Review on predicting pairwise relationships between human microbes, drugs and diseases: from biological data to computational models
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac080
Abstract: In recent years, with the rapid development of techniques in bioinformatics and life science, a considerable quantity of biomedical data has been accumulated, based on which researchers have developed various computational approaches to discover potential… read more here.
Keywords: microbes drugs; diseases biological; data computational; biological data ... See more keywords
A Cosmic View of Life on Earth: Hierarchical Visualization of Biological Data Using Astronomical Software
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Computer Graphics and Applications"
DOI: 10.1109/mcg.2025.3591713
Abstract: A goal of data visualization is to advance the understanding of multiparameter, large-scale datasets. In astrophysics, scientists map celestial objects to understand the hierarchical structure of the universe. In biology, genetic sequences and biological characteristics… read more here.
Keywords: visualization; life earth; view life; biological data ... See more keywords
Hierarchical Maximum Likelihood Clustering Approach
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2016.2542212
Abstract: Objective: In this paper, we focused on developing a clustering approach for biological data. In many biological analyses, such as multiomics data analysis and genome-wide association studies analysis, it is crucial to find groups of… read more here.
Keywords: maximum likelihood; likelihood; likelihood clustering; biological data ... See more keywords